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Top Network Reliability Engineer Interview Questions | SPOTO

Whether you're preparing for your first job interview or leveling up your career, having the right preparation makes all the difference. This comprehensive resource covers the most common and challenging Interview Questions and Answers across a wide range of roles and industries — from technical positions to managerial and entry-level jobs. Browse our curated lists of Frequently Asked Interview Questions, behavioral interview questions and answers, situational interview questions, and role-specific interview prep guides designed to help you walk into any interview with confidence. Whether you're looking for IT interview questions and answers, project management interview questions, or top interview questions for freshers, our expert-reviewed content gives you real-world sample answers, proven tips, and insider strategies to help you stand out.
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1
What are SLAs, and how do they differ from SLOs and SLIs?
Reference answer
SLA (Service Level Agreement) is a contract that defines the level of service expected from a service provider, including uptime, performance, and response times. SLO (Service Level Objective) is a specific target within an SLA that a service must meet, like 99.9% uptime. SLI (Service Level Indicator) is a metric used to measure the performance of a service against an SLO, such as response time or error rate.
2
What is toil and how do you systematically reduce it?
Reference answer
Candidates should define toil as manual, repetitive work that scales with service growth and articulate a prioritization framework for automation efforts.
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3
How do you ensure smooth deployment of new features in a live production environment?
Reference answer
- Canary Deployments: Roll out new features to a small subset of users first to test and monitor performance before full deployment. - Blue-Green Deployment: Run two environments: one live (blue) and one staging (green). After validating the new version in green, switch traffic to it. - Feature Flags: Enable or disable specific features without redeploying the entire application. - Automated Testing: Ensure that integration, unit, and end-to-end tests pass before deployment.
4
What is TCP?
Reference answer
Transmission Control Protocol, which stands for TCP, is one of the main protocols of the Internet Protocol suite. It lies among the application and network layers, which are mainly used to offer reliable delivery services. It is a connection-based protocol for communications that supports the exchange of messages between different devices over the network.
5
How would you handle a product manager who wants to ship a feature while the error budget is negative?
Reference answer
Whether you can hold the line without being adversarial. Political judgment, not just technical correctness. Answering with “I'd say no” or “I'd escalate” loses points. Neither shows the negotiation skill the role requires.
6
What is “horizontal pod autoscaling” in Kubernetes, and how does it work?
Reference answer
Horizontal Pod Autoscaling (HPA) in Kubernetes automatically adjusts the number of pods in a deployment, replica set, or stateful set based on observed CPU utilization (or other metrics like memory or custom metrics). - The HPA controller checks the metrics at regular intervals. - If resource usage exceeds or drops below the defined threshold, the HPA scales the number of pods up or down accordingly. - For example, if CPU utilization exceeds 80%, the HPA may add more pods to handle the increased load.
7
What is DNS?
Reference answer
This is a BIG question and it will be interesting how the candidate answers. Ultimately, you aren't looking necessarily for comprehensive knowledge, but rather whether they can name the main points of interest and do so with clear definitions. The domain name system (DNS) is a decentralized naming system for resources connected to the internet or a private network. These resources are assigned internet protocol (IP) addresses, which are defined strings of unique identifying numbers that follow a precise format. However, humans cannot feasibly remember IP addresses, so DNS allows the assigning of a human-readable name, such as google.com, to use in place of the IP address. They may also talk about IPv4 versus IPv6, DNS records and the fields involved and how to create one, nameservers and decentralization and the existence of a set of canonical root nameservers, queries, caching, primary versus secondary DNS settings, reverse DNS lookups, DNS zones, and security concerns. All of these are important, but you are really looking at whether the candidate understands the big picture and how they communicate it to you.
8
How do you collaborate with software development teams to build reliable software?
Reference answer
In my experience, close collaboration with software development teams plays a vital role in building reliable software. At one of my previous roles, I helped facilitate the adoption of the DevOps culture in the organization, which enhanced collaboration between the operations and development teams. We set processes for reviewing each other's work and giving feedback, which lead to better code quality and efficiency. As an SRE, I collaborated with development teams on establishing strong testing and deployment strategies. Incorporating a strong suite of tests, including unit, integration, and end-to-end tests, alongside a robust CI/CD pipeline, meant catching and rectifying many issues before they reached production. I've also worked with development teams to implement the principles of 'Chaos Engineering', slowly introducing faults in the system to test the resilience of our applications. This provided invaluable insights into potential weak points and allowed us to create better disaster recovery plans. Lastly, I've trained the development team on the principles of SRE and the importance of building with reliability and scalability in mind. By ensuring everyone understands the intricacies of the production environment, they were more capable of writing code that performs well within that context.
9
What is the role of a runbook in incident management?
Reference answer
A runbook provides detailed instructions for handling specific incidents or operational tasks. It helps engineers quickly respond to and resolve issues by following predefined steps, ensuring consistency and reducing the mean time to recovery (MTTR).
10
What is 2FA?
Reference answer
Two-factor Authentication refers to the use of any two self-reliant methods from the various authentication methods. Two-factor authentication is used to ensure that the user has been recognized to access secure systems and to increase the security. Two-factor authentication is first implemented for laptops because of the fundamental security liabilities in mobile computers. By the use of two-factor authentication, it becomes more difficult for unauthorized users to use a mobile device to access secure data or systems.
11
How do you balance operational work with project work?
Reference answer
Effective answers show prioritization frameworks and boundary-setting skills that prevent operational demands from consuming all available time.
12
How do you handle feedback or criticism?
Reference answer
Strong responses include: - Openness to feedback - Specific example of improvement - Ongoing commitment to professional growth
13
What has been your most rewarding experience as a nurse?
Reference answer
Use this question to: - Highlight meaningful patient interactions - Demonstrate passion and purpose - Show long-term commitment to care
14
What is the role of a Site Reliability Engineer (SRE)?
Reference answer
A Site Reliability Engineer (SRE) combines software engineering and IT operations to build and run large-scale, highly reliable systems. Key responsibilities include ensuring system uptime, automating operations tasks, managing incidents, and balancing reliability with feature velocity.
15
How would you implement blue-green deployment in a Kubernetes environment?
Reference answer
- Deploy a new version of your application in a parallel environment (blue and green clusters). - Switch traffic using Kubernetes Ingress or Service objects to route traffic between the old (blue) and new (green) environments. - After testing and validation, fully migrate traffic to the green environment and decommission the blue.
16
What is the role of monitoring in SRE?
Reference answer
Monitoring in SRE involves tracking system performance, identifying issues, and ensuring that the systems meet the defined SLOs. It helps in proactive incident detection and resolution.
17
What Kind of Programming Languages, Tools, and Architecture are You Familiar With?
Reference answer
This is an open-ended question and is asked early in the interview to test your knowledge of different programming languages and technical systems you'll need to use to do your job. Share the list of tools, programming languages, and architecture you are familiar with, and give instances of how you used it successfully.
18
How would you monitor a microservice-based architecture?
Reference answer
Key components: Emphasize golden signals: latency, traffic, errors, and saturation (L-T-E-S).
19
How do you run a blameless post-mortem?
Reference answer
The surface version. The real question underneath it: “Have you actually run one where the person who caused the outage was in the room, and how did you keep it blameless when everyone knew who made the change?” That's a different skill than reading the Google SRE book chapter on post-mortems. Candidates who reference the book by name without adding operational specifics tend to get flagged as having studied the theory without living it.
20
What does Virtualization means?
Reference answer
Virtualization is the process of using one physical system to run multiple virtual machines. It is commonly used by companies that want to consolidate computing resources and keep them running 24/7 without having to buy more hardware. Virtualization can also be used for testing purposes, such as for software development or system performance testing. Virtualization can be used in a number of different ways, from simple setups where multiple virtual machines run on the same physical server, to complex setups that use multiple servers and virtual networks. The end goal is always the same: reducing overhead costs and improving overall IT infrastructure efficiency. Virtualization can also be used to create hybrid environments where physical servers are augmented by cloud-based services. There are many different types of virtualization technology available today, including: - VMware - This is one of the most popular virtualization technologies available today. It runs on almost any platform and is easy to install and manage. It's also very cost-effective because it leverages a lot of existing hardware and software infrastructure already in place. - Windows Server - Windows Server is a common choice for virtualizing Microsoft applications because it has built-in support for Hyper-V, making it easy to deploy and manage. There are also several third-party solutions available to further augment administrator capabilities. - Hyper-V - This is another option that's popular with organizations looking to virtualize their servers. While it's not as widely used as Hyper-V, it's still an option that's worth exploring if you're looking for a low-cost way to virtualize. It's one of the newer options available, so it might not be as widely accepted as the others but it's still a valid option.
21
Can you explain the concept of ‘Error Budgets'?
Reference answer
This gauges the candidate's understanding of balancing innovation and reliability. An error budget is the maximum allowable downtime or failure rate within a given period. The candidate should explain how error budgets help manage trade-offs between new features and system reliability.
22
Explain how you would design a highly available system across multiple regions.
Reference answer
To design a multi-region highly available system: 1) Deploy application instances and databases in at least two geographic regions. 2) Use a global load balancer (e.g., DNS-based or anycast) to route traffic to the nearest healthy region. 3) Implement active-active or active-passive replication for databases. 4) Use asynchronous replication for data consistency. 5) Automate failover processes and regularly test disaster recovery plans.
23
Explain the concept of a runbook.
Reference answer
A runbook is a detailed guide that outlines step-by-step procedures for handling common operational tasks or incidents, such as restarting a service or failing over a database. Runbooks are often automated and help reduce response time and errors during incidents.
24
What is a canary release?
Reference answer
A canary release involves deploying a new version of a service to a small subset of users to test its performance before rolling it out to the entire user base.
25
What is the salary range for Site Reliability Engineers at top tech companies?
Reference answer
Site Reliability Engineer salaries at top tech companies range from $100K to $260K per year in total compensation, depending on experience level and location.
26
Define an SLO for an internal API consumed by three downstream services.
Reference answer
The answer that survives walks through the logic. Start with the SLI: what counts as a successful transaction? Is it HTTP 200? Or does it need to include end-to-end processing confirmation from the payment gateway? Those are different measurements and the SLO math changes depending on which one you pick. Then the SLO target: 99.95% over a 28-day rolling window gives you roughly 21 minutes of error budget per month. At 50,000 transactions per hour, that's about 875 failed transactions before you've burned the budget. Is the business comfortable with that number? That conversation, between the SRE team and the product org, is the actual skill being tested.
27
What is the difference between DevOps and SRE in terms of focus?
Reference answer
DevOps vs. SRE showcases two complementary approaches to managing software delivery and operations. DevOps focuses on fostering collaboration between development and operations teams, emphasizing culture, automation, and continuous integration/continuous delivery (CI/CD). SRE, on the other hand, applies engineering practices to ensure system reliability, using concepts like error budgets and service-level objectives. While DevOps drives process improvement, SRE prioritizes system performance and reliability. Together, they enhance efficiency in modern IT practices.
28
How do you stay current with new tools and technologies?
Reference answer
I spend time reading—I follow several SRE and infrastructure blogs, and I read one technical book every quarter or so. The SRE Book from Google is required reading in this field. But honestly, the best learning comes from actually breaking things and fixing them. We use a lab environment where we experiment with new tools before bringing them to production. We just evaluated three different service mesh tools because our microservices architecture was getting complicated. I spent a week setting up Istio and Linkerd in our lab, ran some load tests, and reported back to the team. We ended up not adopting either one—we realized we didn't have the operational maturity for a service mesh yet—but I learned a ton. I also attend a few conferences per year. I'm selective—I go to talks on topics I actually need to learn, not just for the networking. And honestly, I learn a lot from my team. When someone solves a problem I haven't encountered, I ask them to walk me through it.
29
How does TCP three-way handshake work?
Reference answer
The TCP three-way handshake is a method to establish a connection between a client and server: 1) The client sends a SYN packet to the server requesting synchronization. 2) The server responds with a SYN-ACK packet, acknowledging the request and synchronizing its own sequence number. 3) The client sends an ACK packet back, confirming the connection is established.
30
What's your framework for deciding what to automate versus what to leave manual?
Reference answer
The textbook answer is “automate anything you do more than three times.” The experienced answer is more nuanced. Some tasks are done frequently but are so variable that automation costs more to maintain than the manual effort saves. Some tasks are done rarely but carry enough blast radius that building automation with proper guardrails and a dry-run mode is worth the investment even if the script only runs twice a year, because the one time a human fat-fingers the manual version at 2 AM is the time it takes down the database.
31
Describe a situation where you optimized system performance. What steps did you take?
Reference answer
Example: I was working on a system where page load times were slow. After profiling, I found bottlenecks in database queries and excessive API calls. - Solution: I optimized slow queries using indexes, cached repetitive API results using Redis, and compressed static assets to reduce load times.
32
Describe how you handle on-call and incident management.
Reference answer
Follow blameless culture and SRE incident command roles (Ops lead, Comms lead, etc.)
33
What is an error budget?
Reference answer
An error budget is how much downtime a system can afford without upsetting consumers, or it is also known as the margin of error permitted by the service level objective. It encourages the teams to minimize actual incidents and maximize innovation by taking risks within acceptable limits. An error budget policy is used to track if the company is meeting contractual promises for the system or service, and prevents it from pursuing too much innovation at the expense of the system or service's reliability.
34
Describe a complex reliability problem you solved as a Staff Reliability Engineer. What was your approach?
Reference answer
At Google, I noticed a recurring latency issue in our cloud services that impacted user satisfaction. I led a root cause analysis, identifying a bottleneck in our load balancer configuration. After redesigning the traffic distribution logic and implementing proactive monitoring, we reduced latency by 40% and increased our service level agreement (SLA) compliance from 85% to 98%.
35
How do you ensure security in SRE operations?
Reference answer
Security in SRE involves applying the principle of least privilege for access control, using secure methods for secrets management, performing regular vulnerability scanning, keeping systems patched, and integrating security monitoring into our alerting pipeline.
36
Write a regular expression to validate an email address.
Reference answer
To validate an email address, you can use a regular expression that checks for the correct format. Here's a simple example: ^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$
37
What is capacity planning?
Reference answer
Capacity planning is the forecasting of resource needs in future, based on current usage trends along with the growth that is expected. It ensures that a system can handle increased traffic or demand without allowing performance to degrade. Effective capacity planning prevents bottlenecks, ensuring that the user experience is smooth even during peak usage periods.
38
What is a pod in Kubernetes?
Reference answer
A pod is the smallest deployable unit in Kubernetes, representing one or more containers that share network and storage resources. Pods are ephemeral and are scheduled on nodes by the Kubernetes scheduler.
39
How do you ensure that your systems are resilient to failures?
Reference answer
To ensure system resilience, I implement redundancy and failover mechanisms, conduct regular stress testing, and use monitoring tools to detect issues promptly. This proactive approach helps identify and mitigate potential failures before they impact users.
40
Describe a situation where you implemented automation to improve reliability.
Reference answer
I identified a recurring issue with manual server configuration that led to frequent downtime. By implementing an automated configuration management tool, we reduced downtime by 70% and improved overall system reliability.
41
How do you handle capacity planning?
Reference answer
Capacity planning involves analyzing historical usage trends (e.g., CPU, memory, traffic) and projecting future needs. SREs use tools like Prometheus for metrics and simulate growth scenarios. The goal is to ensure the system can handle peak load without over-provisioning.
42
How was the Relationship Between your Operations and Engineering Team?
Reference answer
An SRE is involved in multiple aspects of the engineering organization and business; they have a unique perspective on improvement areas. They need to maintain smooth relationships between inter and intra departments and identify bottlenecks in productivity. With this question, the hiring manager is trying to determine how you would work collaboratively with different teams and solve issues between cross-functional teams.
43
The Pacific and Atlantic oceans are both bordered by a m x n rectangle island. The Pacific Ocean hits the left and top corners of the island, while the Atlantic Ocean reaches the right and bottom edges. The island is divided into square cells by a grid. You are provided a m x n integer matrix height, where heights[r][c] reflect the cell's height above sea level (r, c). The island receives a lot of rain, and the rainwater can flow to nearby cells immediately north, south, east, and west if the height of the adjoining cell is less than or equal to the height of the present cell. Water can flow into an ocean from any cell close to one. Write an algorithm that returns the indices of (row, column) such that from this location, water can flow to both the pacific and Atlantic oceans.
Reference answer
This seems graph problem. And for solving this problem we need to keep track of the places for reaching both the Pacific and the Atlantic Oceans separately. So the steps that can be followed to solve this problem are - - Create two boolean matrices, one for reaching the Pacific and the other for reaching the Atlantic. And at the first identified the location from where it might reach the Pacific or Atlantic oceans. - Then I performed a Breadth First Search on each of the positions from which it might reach the target. - Finally, it was tested in both matrices to see whether it could reach both oceans and was added to the response list. public List> pacificAtlantic(int[][] heights) { int m = heights.length, n = heights[0].length; //Grid that keep track of the mountain from where it can reach to //pacific Ocean. boolean[][] reachPacific = new boolean[m][n]; //Grid that keep track of the mountain from where it can reach to //atlantic Ocean. boolean[][] reachAtlantic = new boolean[m][n]; //Oueue that helps for breadth first traersal on matrix Queue queuePacific = new LinkedList<>(); Queue queueAtlantic = new LinkedList<>(); //Marking the row and column as true grom where we can reach to the //Pacific or atlantic ocean initially. for(int i = 0; i < m; i++){ reachPacific[i][0] = true; queuePacific.add(new int[]{i,0}); reachAtlantic[i][n-1] = true; queueAtlantic.add(new int[]{i, n-1}); } for(int i = 0; i < n; i++){ reachPacific[0][i] = true; queuePacific.add(new int[]{0,i}); reachAtlantic[m-1][i] = true; queueAtlantic.add(new int[]{m-1,i}); } //BFS on the grid to mark all the places from where it can traverse //to the pacific ocean. while(queuePacific.size() > 0){ int[] val = queuePacific.poll(); int i = val[0], j = val[1]; if(i-1 >= 0 && !reachPacific[i-1][j] && heights[i-1][j] >= heights[i][j]){ reachPacific[i-1][j] = true; queuePacific.add(new int[]{i-1, j}); } if(i+1 < m && !reachPacific[i+1][j] && heights[i+1][j] >= heights[i][j]){ reachPacific[i+1][j] = true; queuePacific.add(new int[]{i+1, j}); } if(j-1 >= 0 && !reachPacific[i][j-1] && heights[i][j-1] >= heights[i][j]){ reachPacific[i][j-1] = true; queuePacific.add(new int[]{i, j-1}); } if(j+1 < n && !reachPacific[i][j+1] && heights[i][j+1] >= heights[i][j]){ reachPacific[i][j+1] = true; queuePacific.add(new int[]{i, j+1}); } } //BFS on the grid to mark all the places from where it can traverse //to the atlantic ocean. while(queueAtlantic.size() > 0){ int[] val = queueAtlantic.poll(); int i = val[0], j = val[1]; if(i-1 >= 0 && !reachAtlantic[i-1][j] && heights[i-1][j] >= heights[i][j]){ reachAtlantic[i-1][j] = true; queueAtlantic.add(new int[]{i-1, j}); } if(i+1 < m && !reachAtlantic[i+1][j] && heights[i+1][j] >= heights[i][j]){ reachAtlantic[i+1][j] = true; queueAtlantic.add(new int[]{i+1, j}); } if(j-1 >= 0 && !reachAtlantic[i][j-1] && heights[i][j-1] >= heights[i][j]){ reachAtlantic[i][j-1] = true; queueAtlantic.add(new int[]{i, j-1}); } if(j+1 < n && !reachAtlantic[i][j+1] && heights[i][j+1] >= heights[i][j]){ reachAtlantic[i][j+1] = true; queueAtlantic.add(new int[]{i, j+1}); } } //List that stores all the indices of the places. List> ans = new ArrayList<>(); //Traversing on grid to check the place from where it can reach to //both pacific and atlantic ocean and adding to the answer list. for(int i = 0; i < m; i++) for(int j = 0; j < n; j++) if(reachAtlantic[i][j] && reachPacific[i][j]) ans.add(new ArrayList(Arrays.asList(i, j))); return ans; } The time complexity for the above algorithm is O(m*n) because all the places in the matrix will be visited more than once. But the degree of the polynomial is m*n, So it's O(m*n).
44
Explain APR. Also, what are the stages of this?
Reference answer
In the context of Site Reliability Engineering, Accelerated Problem Resolution (APR) is crucial for quickly addressing and resolving issues that affect system performance and reliability. Here are five main points about APR in Site Reliability Engineering: - **Monitoring and Alerting**: Continuous monitoring is fundamental in APR. It involves actively observing system metrics to detect anomalies or performance degradation. When an anomaly is detected, alerts are generated to notify the Site Reliability Engineers. - **Rapid Diagnosis**: Speed is crucial in problem resolution to minimize downtime. SREs perform a quick initial assessment to understand the nature and severity of the issue. They gather data, logs, and other diagnostic information to pinpoint the root cause. - **Issue Resolution and Mitigation**: Once the root cause is identified, the SREs focus on resolving the issue. Depending on the nature of the problem, this can involve applying hotfixes, rerouting network traffic, or scaling resources. In addition to resolution, mitigation strategies might be used to reduce the impact of the issue on the system and users. - **Post-mortem Analysis and Documentation**: After resolving the issue, a thorough post-mortem analysis is conducted to understand the cause, how it was addressed, and the impact it had. This information is documented for future reference, learning, and improving response strategies. - **Continuous Improvement**: Insights from post-mortem analysis are used to improve the system and the incident response process. This includes implementing preventive measures, enhancing monitoring tools, improving alerting mechanisms, and refining protocols for quicker and more efficient resolution of future incidents.
45
How do you handle a situation where reliability work competes with feature development?
Reference answer
This is a real tension, and I think the honest answer is that it's not always clear-cut. When a critical system has high error rates, that's an obvious 'reliability first' decision. But when a development team wants to ship a feature and you want to refactor the deployment pipeline, that's trickier. I've found that making the business impact visible really helps. When we had a 20-minute deployment window, developers couldn't iterate quickly and took shortcuts in testing. I quantified it: we were losing about 3 hours per developer per week. When I showed the leadership team that refactoring our CD pipeline would save us 6 hours per developer per week, they funded it. It wasn't a preachy 'reliability is important' conversation—it was about enabling developers to move faster while reducing incident risk. Error budgets actually help here too. If we have error budget left, we can take calculated risks with feature deployments. If we're over budget, we collectively agree to focus on stability. That makes the tradeoff explicit.
46
How do you manage configuration and infrastructure as code?
Reference answer
- Using version control systems and repositories for storing and managing configurations and infrastructure code. - Implementing configuration management tools like Puppet, Ansible, or Chef. - Leveraging Infrastructure as Code (IaC) tools such as Terraform or CloudFormation for provisioning and managing infrastructure resources. - Defining configurations and infrastructure as code allows for consistency, version control, and automation.
47
Describe your experience with version control systems like Git. Can you give specific examples of how you use it?
Reference answer
Expect candidates to describe their proficiency with Git or similar systems through specific examples, such as: Branching and merging; Handling merge conflicts; Collaborating with team members. Knowledge of advanced features like rebase, cherry-pick, and tagging is a plus. Their answers should also demonstrate an understanding of best practices for integrating version control into CI/CD pipelines.
48
How do you foster a blameless post-mortem culture, and why is it important for an SRE team?
Reference answer
Fostering a blameless post-mortem culture is absolutely critical for an SRE team because it directly enables continuous learning and systematic improvement. Without it, people fear admitting mistakes or reporting issues, which means the true root causes never get uncovered, and the same problems will inevitably recur. A blameless approach shifts the focus from "who messed up?" to "what can we learn from this to prevent it from happening again?" My approach to fostering this culture starts from the moment an incident is declared. During the incident, I focus purely on restoration, diagnosis, and communication, avoiding any immediate finger-pointing. Once the incident is resolved, I always schedule a post-mortem, making it clear from the outset that the goal is about system and process improvement, not individual accountability. In the post-mortem meeting itself, I facilitate it with a few key principles. First, focus on facts and timelines. We build a detailed timeline of events – when the alert fired, when the on-call engineer responded, what actions were taken, when the system recovered. This objective view helps everyone understand the sequence of events without emotion. I usually have someone dedicated to scribing the timeline during the incident to ensure accuracy. Second, encourage open discussion about contributing factors. This involves asking "what happened?" and "why did it happen?" multiple times (the "5 Whys" technique is very useful here) to drill down past superficial causes. For example, if a deployment caused an outage, the "why" isn't just "because we deployed bad code." It's "why wasn't the bad code caught in staging?" "Why did the deployment proceed without a rollback plan?" "Why wasn't the monitoring adequate to catch it faster?" This usually uncovers systemic issues like inadequate testing, poor communication between teams, or missing automated checks. Third, emphasize empathy and psychological safety. I make sure everyone feels safe to share their perspective, even if they were directly involved in actions that contributed to the incident. I explicitly state at the beginning that we're here to learn, and no one will be penalized for honest contributions. This might involve reminding people that systems are complex, and even experienced engineers can make mistakes under pressure. I've found that framing it as "what could the system have done to prevent this human error?" rather than "how could the human have not made that error?" is very effective. Fourth, focus on actionable items. A post-mortem isn't complete without concrete action items, each assigned to an owner with a clear deadline. These actions are almost always about improving the system: adding new alerts, improving runbooks, automating manual steps, enhancing test coverage, refining deployment processes, or strengthening infrastructure. For example, after an outage caused by a failed database migration, our action items weren't to scold the engineer who ran it, but to implement automated pre-migration checks, integrate migration tools into the CI/CD pipeline for rollbacks, and enhance our rollback strategy. Finally, share the learnings broadly. The post-mortem document itself is shared across relevant teams – development, product, management. This transparency helps propagate the knowledge and builds a collective understanding of our system's vulnerabilities and how we're addressing them. This reinforces the idea that reliability is a shared responsibility, not just SRE's. A recent example of this in action was after an incident where a faulty database configuration was pushed to production, causing intermittent service outages. In the post-mortem, instead of blaming the engineer who made the change, we focused on the lack of automated validation for database configuration files. The team collaboratively decided to implement a linting tool for all database configuration changes in our CI pipeline and introduce a mandatory peer review process specifically for database infrastructure changes. This wasn't about punishing someone; it was about building safeguards into our system, which ultimately made everyone more confident in making future changes. This blameless approach empowers engineers to contribute honestly and leads to much more effective, long-lasting solutions.
49
What's the Difference Between SRE and DevOps?
Reference answer
While this is more of a generic question, it allows the candidate to highlight the importance of site reliability engineering and showcase your experience in using SRE to bolster resilience and productivity. Some organizations will have dedicated DevOps teams, whereas others follow DevOps methodologies. A site reliability engineering role focuses on managing the systems belonging to core infrastructure inclined and applicable to the production environment. On the other hand, DevOps is used to inculcate automation and simplification in system development teams and their non-computing parameters. Ultimately, the goal of these two teams is to reduce the gap between development and operations.
50
Describe a time you had to scale a system to handle increased load or traffic. What was your process?
Reference answer
I was involved in scaling our main batch processing system in preparation for a major seasonal event last year. This system processes millions of customer orders, generates invoices, and dispatches them to our fulfillment centers. We knew traffic would increase by about 5x during the peak week, and the existing architecture, while robust for regular load, wasn't designed for such a sustained surge. Our main bottleneck was the worker fleet processing the jobs and the database they interacted with. My process began with load testing and identifying bottlenecks. We used a tool like Locust to simulate the expected 5x increase in order volume against our staging environment. This immediately revealed several issues. The primary bottleneck was the worker fleet itself. While we had some basic autoscaling, it couldn't spin up fast enough or scale high enough to meet the demand. We also saw database connection pool exhaustion and slow queries under heavy load, specifically for writing order status updates. The message queue (RabbitMQ) wasn't saturating, but its consumer lag was growing rapidly, indicating workers couldn't keep up. Next, we focused on optimization. For the database, I worked with the development team to analyze the slow queries. We identified a few unindexed columns on a critical order_items table that were causing full table scans during status updates. Adding appropriate indexes significantly reduced query times. We also investigated the application's ORM usage and found some N+1 query patterns that we refactored to fetch data more efficiently in batches. These changes reduced the per-transaction database load, making our existing database capacity go further. For the worker fleet, the existing autoscaling was based purely on CPU utilization. This wasn't sufficient because workers often bottlenecked on I/O or external API calls. I re-architected the autoscaling mechanism to incorporate a combination of metrics: CPU utilization, memory usage, and crucially, the depth of our RabbitMQ processing queue. If the queue length exceeded a certain threshold for a sustained period, it would trigger scaling events for the worker pods in Kubernetes. This allowed the system to scale proactively based on actual work backlog, not just CPU. We also adjusted the resource requests and limits for the worker pods to ensure they had sufficient CPU and memory to handle peak load without thrashing. To ensure the RabbitMQ queue itself wouldn't become a bottleneck, we reviewed its configuration and provisioned it with more resources, including dedicated I/O-optimized disks and increased memory. We also explored using multiple queues and partitioning work if necessary, but with the worker scaling improvements, a single robust queue proved sufficient for this particular event. Finally, we performed iterative load testing after each set of changes. We ran the 5x load test again, observed the new bottlenecks, optimized those, and repeated. We also implemented robust monitoring and alerting specifically for the event. This included alerts for queue depth, worker pod restarts, database query latencies, and end-to-end processing times. We set up detailed Grafana dashboards that provided real-time visibility into the system's health and performance during the peak. The outcome was successful. During the peak event, the system scaled flawlessly, handling the 5x increase in orders without any major incidents or significant processing delays. The autoscaling mechanism effectively managed the worker fleet, keeping the RabbitMQ queue depth within acceptable limits. The database optimizations prevented saturation. The process taught me the importance of a phased approach: understand the current state, load test to find weaknesses, optimize application and infrastructure, enhance scaling mechanisms, and rigorously test and monitor everything. It's not just about throwing more hardware at the problem; it's about intelligent design and understanding your system's limits.
51
How does your current deployment pipeline look? What are the biggest issues?
Reference answer
At first, this seems like a simple question — but beware: it's a loaded one. The interviewer wants to determine your ability to analyze your deployment pipeline and make intelligent decisions for changing it. SRE teams are crucial for: - Identifying monitoring deficiencies and deployment bottlenecks. - Surfacing reliability concerns to the applicable parties. Being able to determine where your team can make the biggest improvements to resilience without drastically affecting employee productivity or process will show that you're able to problem-solve at a high level.
52
What are some common architecture bottlenecks and some possible ways to mitigate against problems?
Reference answer
Every architecture is different, so you are looking for them to mention networking problems, resource allocation, unusual service interactions, and so on.
53
Can you explain a situation where you used Design of Experiments (DOE) in reliability engineering?
Reference answer
I utilized DOE in a project where we were seeing variations in product life across different batches. By systematically changing process parameters and observing the impact, I identified key factors influencing the product's reliability. Based on the results, we implemented process changes that improved both product consistency and reliability.
54
Give a definition of virtualization, containers, and Kubernetes and tell how the three relate to and differ from each other.
Reference answer
Bonus points if they start by talking about a bare metal server. Virtualization installs a control layer on top of a set of bare metal servers to create a pool of resources from the combination of the physical resources of those servers. It then allows you to create "virtual machines" that have a varied combination of memory, storage, and processor resources according to need, each machine with its own operating system. Virtual machines can be created and destroyed quickly and easily. Containers are similar, except they do not contain the base layer operating system. Instead the control layer provides the operating system access while also keeping the containers and their processes isolated from one another. Containers include software such as a microservice along with all of the software dependencies required to run that software. This provides isolation and flexibility. Kubernetes adds an orchestration layer to containers, making the management of them, especially large systems, easier.
55
How Does Your Current Deployment Pipeline Look? What Are the Biggest Issues?
Reference answer
This question determines your ability to analyze your deployment pipeline and make intelligent decisions for changing it. You can showcase how in your experience, you, alongside your team, brought significant improvements to resilience without drastically affecting employee productivity to highlight your problem-solving skills.
56
Define Service Level Indicators.
Reference answer
Service Level Indicators are the key measurements that show if service is on track. Without them, it's difficult to know if the organization is meeting its objectives. There are three main types of SLIs: Availability, Response Time, and Quality of Service. - Availability measures how often a given service can be provided without causing downtime. - Response time measures how quickly service is delivered. - And the quality of service measures how well a given effort meets certain standards of quality. In addition to these three main types of SLIs, there are also limits on usage and capacity, which measure how much a given resource can be used at any given time. This can be useful for determining if there is enough capacity in the system to handle the additional demand.
57
How do you manage infrastructure cost in the cloud while ensuring reliability?
Reference answer
- Implement auto-scaling to adjust the number of resources based on actual usage. - Use reserved instances for predictable workloads and spot instances for non-critical, flexible workloads to reduce costs. - Monitor resource utilization with tools like CloudWatch or Datadog to identify underutilized resources and right-size instances. - Use storage tiers to reduce costs, storing frequently accessed data in faster (and more expensive) storage, while infrequently accessed data is moved to slower (and cheaper) options. - Regularly audit cloud spend using tools like AWS Cost Explorer and optimize where possible.
58
What strategies do you use for disaster recovery?
Reference answer
Disaster recovery strategies include implementing regular, verified backups, replicating data across geographically diverse regions, establishing automated failover processes to secondary sites, maintaining clear and tested recovery runbooks, and conducting periodic disaster recovery drills.
59
What tools do you use for monitoring and alerting? Why?
Reference answer
I use Prometheus for monitoring because of its powerful querying capabilities and Grafana for visualization due to its user-friendly interface. These tools have helped us proactively identify and resolve issues, significantly improving system reliability.
60
Your team has burned 80% of its error budget in the first two weeks of the month. What do you do?
Reference answer
Error budget policy enforcement and cross-functional communication under pressure. The answer that survives walks through the logic: who you notify, how the decision is documented, and what the exception process looks like. Jumping to “freeze deployments” without explaining those elements loses points.
61
Can you discuss a situation where you used simulation methods in reliability engineering?
Reference answer
While designing a communication network, I used Monte Carlo simulations to predict the network's reliability. The simulation considered variables such as traffic levels and failure rates of different nodes. The results helped us optimize the network design to ensure a high level of reliability.
62
How do you roll out a new feature safely?
Reference answer
When rolling out a new feature, the first step is rigorous testing in isolated and controlled environments. We run a whole suite of tests such as unit tests, integration tests, and system tests to verify the functionality and catch any bugs or performance issues. Beyond functional correctness, it's important to test the load and stress handling capabilities of the new feature. Load testing and stress testing help identify performance bottlenecks and ensure that the feature can handle real-world traffic patterns and volumes. A good practice is to use a canary deployment or a similar gradual rollout strategy. The new feature can be released to a small percentage of users initially. This allows us to observe the impact under real-world conditions, while limiting potential negative effects. Monitoring the effects of the new feature is also crucial. I typically adjust our monitoring systems to capture key metrics for the new feature, allowing us to quickly identify and react to any unexpected behavior. If anything seems off, we can quickly roll back the feature, fix the issue, and then resume the rollout once we're confident that the issue has been addressed.
63
What is Continuous Integration/Continuous Deployment (CI/CD) and how have you implemented it?
Reference answer
Continuous Integration/Continuous Deployment (CI/CD) is a modern development practice that involves automating the processes of integrating code changes and deploying the application to production. The goal is to catch and address issues faster, improve code quality, and reduce the time it takes to get changes live. I've implemented and utilized CI/CD pipelines in several of my past roles. In one instance, we used Jenkins as our CI/CD tool. For Continuous Integration, every time a developer pushed code to our repository, Jenkins would trigger a process that built the code, ran unit tests, and performed code quality checks. If any of these steps failed, the team would be instantly notified, enabling quick fixes. For Continuous Deployment, once the code passed all CI stages, it'd be automatically deployed to a staging environment where integration and system tests would run. If all tests passed in the staging environment, the code would then be automatically deployed to production. This ensured that we had a smooth, automated path from code commit to production deployment, leading to more efficient and reliable release processes.
64
What is load testing and why is it important?
Reference answer
Load testing evaluates how a system behaves under various traffic loads, and hence it will identify bottlenecks and weaknesses. Through simulating high traffic, we can measure the system's ability to withstand increased demand. This helps scale systems efficiently while keeping performance stable during traffic spikes or surges.
65
Describe how you would implement a blue-green deployment strategy.
Reference answer
To implement a blue-green deployment strategy, I would maintain two identical environments: one active (blue) and one idle (green). After deploying and testing the new version in the green environment, I would switch traffic from blue to green, ensuring a seamless transition with minimal downtime.
66
What do you know about Linux Shell? List Different types of Shell.
Reference answer
Linux Shell is an integral part of the Linux OS. The Linux OS is a free and open-source OS developed by Linus Torvalds. It is the most popular OS to run on servers and embedded devices. A Linux shell is a command line interface that allows the user to interact with the system. The command line interface (CLI) of Linux provides a text-based interface for executing commands, performing file management tasks, and issuing other system commands. There are two types of shells in Linux – - Interactive shell - It starts automatically when a user logs into their computer. - Non-Interactive shell - It can be started manually for the execution of any program. These two types allow different users to have access to different sets of commands, depending on whether they are logged in or not. In most cases, non-interactive shells are used for administrative tasks such as managing user accounts and managing applications or services. On a typical Linux system, the following shells are widely used: - KSH (Korn Shell) - BASH (Bourne Again Shell) - TCSH - CSH (C Shell) - Bourne Shell - ZSH
67
How does SRE differ from DevOps?
Reference answer
While both SRE and DevOps focus on improving collaboration and efficiency between development and operations, SRE is more focused on applying engineering practices to operations, often with a stronger emphasis on reliability and performance.
68
What strategies do you use for log management and analysis?
Reference answer
The candidate should explain their approach to collecting, storing, and analyzing logs. Mentioning tools like ELK stack (Elasticsearch, Logstash, Kibana), Splunk, or Graylog, and discussing how they use logs for troubleshooting and performance monitoring is ideal.
69
What tools, programming languages & architectures are you familiar with?
Reference answer
This is a quick yet obvious question. Of course, the interviewer wants to know if you're familiar with the languages and technical systems you'll need to use in order to do your job.
70
What is Site Reliability Engineering (SRE)?
Reference answer
SRE is a discipline that applies software engineering principles to infrastructure and operations problems. The goal is to create scalable and highly reliable software systems.
71
What is Site Reliability Engineering (SRE)?
Reference answer
SRE is a discipline that incorporates software engineering practices to solve infrastructure and operational challenges, aiming to create scalable and reliable systems. SREs focus on automation, monitoring, and enhancing system reliability while balancing feature velocity and operational stability.
72
How do you approach capacity planning?
Reference answer
Capacity planning involves analyzing historical performance data and trends (e.g., CPU usage, disk I/O) to predict future demand. Use this data to provision resources in advance, ensuring systems can handle peak loads without over-provisioning.
73
What is a rollback window?
Reference answer
A rollback window is a predetermined time frame during which a new deployment can be rolled back to the previous version if issues are detected. It ensures quick recovery from deployment failures and minimizes the impact on users.
74
How do you go about setting SLOs and SLIs and how do you make adjustments when necessary?
Reference answer
Service Level Objectives (SLOs) and Service Level Indicators (SLIs) are foundational metrics for SREs. SLOs are the goals for a particular application; SLIs are the actual measurement of performance against those goals. Lachhman notes that the SRE function is often at the heart of defining and refining SLOs and SLIs; oftentimes, developers don't necessarily know the norm or baseline for the applications they build and maintain, particularly if SRE is a relatively new dimension of the broader team. Hiring managers should dig into how the candidate identifies and defines SLOs and SLIs; if you're the candidate, you should be prepared to speak about how you approach these metrics. Moreover, make sure you can discuss a thoughtful process for reevaluating and optimizing those measurements over time. "Like any metric, they need to evolve," Lachhman says. "Negotiating changes to SLO/SLI measurements is par for the course."
75
Explain how you would define SLOs for a new service
Reference answer
This question reveals whether candidates understand the foundational process of setting reliability targets based on user expectations and business criticality rather than arbitrary numbers.
76
What are the key metrics you track to ensure system reliability?
Reference answer
The candidate should discuss important metrics like uptime, response time, error rates, request rates, latency, and throughput. Understanding which metrics to track and how they impact reliability is crucial.
77
How do you manage security patches in a large-scale environment?
Reference answer
Security patches are managed through automated patch management tools, regular patch cycles, vulnerability assessments, and ensuring minimal disruption by scheduling updates during maintenance windows or using rolling updates.
78
Can you describe a time you handled a difficult patient?
Reference answer
Focus your answer on: - Empathy and communication - Understanding patient needs - Maintaining professionalism - Positive resolution or improved outcome
79
How do you monitor a Kubernetes cluster?
Reference answer
Use tools like Prometheus for metrics collection and Grafana for dashboards. Monitor cluster-level metrics (CPU, memory, pod status) and application-level metrics (latency, errors). Set up alerts for critical conditions (e.g., pod restarts, node failures).
80
What would you do if a patient's condition suddenly worsens?
Reference answer
Employers are looking for: - Recognition of warning signs - Adherence to protocols - Communication with care team - Timely intervention
81
How would you handle a situation where the error budget is consistently being consumed?
Reference answer
- Pause new feature rollouts: Temporarily stop deploying new features to focus on improving system reliability. - Analyze root causes: Use incident postmortems and monitor system logs and metrics to understand where the error budget is being consumed. - Focus on stability: Implement fixes such as improved retries, redundancy, and error handling in areas causing frequent outages or slowdowns. - Improve automation: Automate processes that are leading to human error or unnecessary toil. - Tighten SLOs: Review if the current SLOs are too loose or if they accurately reflect the business requirements and adjust accordingly.
82
How will you secure your Docker containers?
Reference answer
Follow these instructions to secure your Docker container: - Choose third-party containers with caution. - Turn on Docker content trust. - Limit the resources available to your containers. - Consider utilizing a third-party security product. - Docker Bench Security should be used. Other than these questions, there are also some questions that are based on your personal understanding of the system if you are an experienced person. The questions can be like this - - How can you strengthen the bond between the operations and IT teams? - What is the distinction between site reliability engineers and development operations? - What actions would you take to develop a monitoring strategy for a service that does not have one? - How can information technology infrastructure be scaled? - What type of experience do you have building deployment automation code? - Why would you want to be an SRE rather than an SDE? What piques your interest in this role? etc.
83
Describe the concept of 'toil' in SRE and how to reduce it.
Reference answer
Toil refers to repetitive, manual, and non-scalable operational work, such as manually restarting servers or processing alerts. SREs aim to reduce toil through automation, improving tooling, and designing systems that self-heal. Ideally, toil should represent less than 50% of an SRE's workload.
84
What is the 'suspend ready state' of a process?
Reference answer
The term 'suspend ready state' refers to a process that is in the ready state but has been moved from main memory to secondary memory due to a lack of resources (primarily primary memory). The OS must move the lower-priority program to secondary memory in order to make room in the main memory if it is full and a higher-priority program arrives for execution. Processes that are prepared to suspend are held in secondary storage until the strongest memory is available.
85
How have you applied accelerated life testing in your projects?
Reference answer
In a project involving LED lights, I used accelerated life testing to swiftly generate failure data. We subjected the LEDs to high temperatures and voltage levels, which accelerated the failure mechanisms. The data derived from these tests aided in estimating the product's lifetime under normal operating conditions.
86
What is a synthetic transaction, and how is it used in monitoring?
Reference answer
A synthetic transaction is a scripted sequence of interactions with a service that mimics real user behavior. It is used in monitoring to proactively check the availability and performance of services by simulating user actions.
87
What happens when you type a URL into a browser?
Reference answer
This classic question tests breadth of knowledge across DNS, TCP/IP, TLS, HTTP, and application layers.
88
Explain the concept of ‘defense in depth' in security.
Reference answer
‘Defense in depth' is a layered security approach where multiple security measures are implemented to protect data and systems. If one layer fails, others still provide protection.
89
What is the role of capacity planning in SRE?
Reference answer
Capacity planning ensures that systems can handle both current and future demands by forecasting resource needs and scaling infrastructure accordingly. This proactive approach prevents performance bottlenecks and maintains system reliability.
90
Which of the three pillars of observability is most important to you? Which one do you feel you need to get more exposure in?
Reference answer
The three pillars here are logging, metrics, and tracing. Observability as a whole is intrinsic to the SRE field. "The science of measuring a system is core to what SREs are hired for," Lachhman says, pointing to the "Four Golden Signals" in Site Reliability Engineering as one basis for thinking about this question. "Which pillar would help you determine those [signals] the best?" Lachhman asks. "These will eventually lead into your SLO/SLI measurements. Showing interest in one or more of the pillars shows you are ready to grow into your role." As a general principle, measurement is critical in any SRE position, so keep this in mind if you're looking to pivot into this role from another IT area: It's a data-driven discipline.
91
How do you handle a database connection pool exhaustion issue?
Reference answer
To handle connection pool exhaustion, I would: 1) Check application logs for long-running queries or connections not being released. 2) Increase the maximum pool size temporarily if appropriate. 3) Implement connection leak detection and fix code that fails to close connections. 4) Add monitoring for pool usage and set up alerts. 5) Optimize queries or add database read replicas to reduce load.
92
What is DNS and why is it essential?
Reference answer
The domain name system is known as DNS. It is a mechanism that converts hostnames to IP addresses so that, when you type a website address into your browser, you can quickly identify the right server. Each domain name has one or more 'resolvers,' or IP addresses, associated with them by the DNS system. When you enter a URL (such as www.google.com) into the browser, your computer requests the IP address connected with that web address from the DNS resolver. The IP address of a local machine or another server which has been set up to return that specific IP address is then returned to the browser by the DNS resolver. Since hosts on the Internet only have names that can be read by humans, like google.com, and not by computers, like 111.222.333.444, DNS is essential. Without DNS, finding a URL on the Internet would require you to understand how to interpret its human-readable name, which would be incredibly challenging without the aid of a centralized authority like Google.
93
What is Cloud Computing ?
Reference answer
Cloud computing means storing and accessing the data and programs on remote servers that are hosted on the internet instead of the computer's hard drive or local server. Cloud computing is also referred to as Internet-based computing, it is a technology where the resource is provided as a service through the Internet to the user. The data which is stored can be files, images, documents, or any other storable document.
94
What is a service mesh?
Reference answer
A service mesh is a dedicated infrastructure layer that manages service-to-service communication, providing features like load balancing, service discovery, and security.
95
How do you handle incidents and foster a culture of continuous improvement in your SRE team?
Reference answer
At AWS, after a significant outage, I initiated a blameless postmortem process. We analyzed the incident, identifying that a configuration change had led to cascading failures. This led to implementing stricter change management protocols and automated monitoring tools that provide alerts for similar changes. Sharing the findings with the team and the wider organization fostered a culture of learning, and we saw a 60% reduction in similar incidents in the following quarter.
96
What steps would you take to secure a container image?
Reference answer
Do the candidate's steps match with your company's? Close? Is the candidate open to suggestions or do they act like they have the definitive answer (like a know-it-all)?
97
What is DHCP, and for what is it used?
Reference answer
DHCP stands for Dynamic Host Configuration Protocol. It is a protocol that allows networks to dynamically allocate IP addresses to hosts on the network. DHCP is used to assign IP addresses to devices such as PCs and routers. When a device is installed, it may need an IP address in order to access the Internet. So when a new device is installed, it will get an IP address from DHCP so that it can connect to the network. When a device connects to a network, it needs an IP address first so that it can communicate with other hosts on the network. And since most networks have only one IP address assigned for each device, there must be some mechanism for dynamically allocating those addresses. In order for a DHCP server to work, it must have at least two parts: an interface (usually Ethernet or WiFi) and some sort of database that stores information about connections and users. Since an interface is required for each device connected, this database must contain all of the information about those devices and how they are connected. All of this data is then pulled together when a connection is requested.
98
Can you explain data structures and also describe the physical data structure and logical data structure?
Reference answer
Data structures are a set of rules for organizing and storing data in a computer. Data structures are used to structure databases, manage memory, and organize data. Data structures allow for easy organization of data, easy retrieval of data, and efficient use of resources. - Physical Data Structures can be Arrays and Linked lists. We can call these two physical data structures because the data stored in the actual physical memory, are based on these two. An array is the collection of contiguous data elements of the same type. And the linked list is also the collection of the data elements but it may or may not be contiguous in memory. A linked list consists of nodes that store the data and also the pointer that is pointing to the next node in the memory. - Logical Data Structure can be considered as all the data structures that are constructed while using the two physical data structures. The logical data structures can be stack, queue, tree, graph, etc. These data structures have only the logic and based on this logic it defines a property and stores the data using arrays and linked lists in the memory.
99
How do you decide which spans to add beyond auto-instrumentation?
Reference answer
Auto-instrumentation gives you the request path. Custom spans at service boundaries, database calls, and external API calls give you the diagnostic detail you actually need when something is slow and you can't tell where. Most teams add custom spans reactively, after a post-mortem where the trace data existed and told them nothing useful. Knowing that pattern and building the spans proactively, before the first post-mortem forces you to, is the kind of foresight that interviewers at mature SRE organizations are specifically screening for because it's so rare.
100
How much of the team is distributed? What is your "work from home" or "work from X" policy? Is it flexible or set?
Reference answer
What is the thing you are most excited about working on or launching in the next year?
101
Explain the difference between proactive and reactive monitoring.
Reference answer
Proactive monitoring aims to detect and address potential issues before they impact users, while reactive monitoring involves responding to incidents after they have occurred.
102
Describe a script you've developed to solve a problem.
Reference answer
I developed a Python script to automate log rotation and monitoring on a fleet of servers. It ensured logs didn't fill disks and alerted us proactively if rotation failed or specific error patterns appeared, reducing manual checks and preventing outages.
103
What metrics do you prioritize when evaluating system health?
Reference answer
I use the RED method: Rate, Errors, Duration. For Rate, I track requests per second because traffic patterns often precede issues. Errors are critical—I care about error count and error rate. Duration is latency—both p50 and p99, because p99 tells you about your worst users' experience. We also track saturation: CPU, memory, disk I/O, and connection pool utilization. These are early warning signs that we're about to have problems. For specific services, I add business metrics. For our payment service, I care about transaction success rate. For our search service, I care about results accuracy. The mistake I see people make is treating all metrics equally. We have hundreds of metrics, but I set up dashboards focused on the maybe 12 that actually tell me if the service is healthy. If those are green, we're good. If anything is red, I investigate. I also spend time understanding the baseline for each metric. A p99 latency of 2 seconds might be normal if we're doing complex queries, but it's a disaster if we should be responding in milliseconds.
104
How do you handle incident management?
Reference answer
Incident management starts with rapid detection and response to minimize downtime. SREs use monitoring tools to identify problems on the way to resolution, keeping the stakeholders informed of the status. Thereafter comes a post-incident and root cause analysis that entails improved strategies for future avoidance along with enhancements in the system.
105
What is a load balancer and how does it work?
Reference answer
Distributes traffic across backend servers. - L4 Load Balancer: Works at transport layer (TCP/UDP) - L7 Load Balancer: Works at application layer (HTTP/HTTPS) Examples: NGINX, HAProxy, ELB, Envoy
106
What is cloud computing and what are its benefits?
Reference answer
IT services including servers, storage, and software as a service (SaaS) are delivered over network-connected cloud infrastructure through cloud computing. The phrase can be used to describe both private clouds, controlled by a single company and shared by internal users, and cloud environments, owned by outside companies and provide computing capacity for rent, such as Amazon Web Services. Additionally, cloud computing has the ability to completely transform IT operations by enabling businesses to provide IT services using a scalable, adaptable paradigm that lowers costs without sacrificing service quality. By automating common operations, it can help businesses decrease complexity and risk, combine older systems with more modern ones (like mobile applications), and manage remote assets more effectively. By making leasing or buying IT equipment less expensive than outright purchases, cloud computing can also help businesses save money.
107
When you are on-call, how many times during that period are you getting paged?
Reference answer
Would you say when you get paged, alerts are actionable?
108
Have you set up a disaster recovery plan?
Reference answer
Yes, setting up a disaster recovery plan is an essential aspect of site reliability engineering. In my previous role, I was tasked with creating such a plan for our major systems. First, we identified critical systems whose disruption would have the most significant impact on our business operations. For each of these systems, we mapped out the possible disaster scenarios, such as data center failure, network outage, or cyber-attacks. Then we evaluated each system's current state, including the existing backup processes, system resilience, availability, and the ability to function on backup systems. We identified the weaknesses and started addressing them. Next, we determined the Recovery Point Objective (RPO) and the Recovery Time Objective (RTO) for each system, two critical metrics in disaster recovery. We then designed strategies for each disaster scenario considering the RPO and RTO. The strategies included mirroring data between data centers, establishing redundant servers, regular backup of data, and configuring auto-scaling and load balancing. Lastly, we frequently tested these strategies through drills, actual failover testing, and recovery drills. We learned from each test and refined our strategies. Setting up a disaster recovery plan is a dynamic and ongoing process. It requires regular monitoring, updating, training of the response team, and testing to ensure its effectiveness. The ultimate goal is to minimize downtime and prevent data loss in the event of a catastrophic failure.
109
Why did you choose nursing as a profession?
Reference answer
To understand your motivation and long-term commitment to nursing. How experienced nurses should answer: - Reflect on how your perspective has evolved over time - Connect your original motivation to your current goals - Highlight continued passion for patient care or specialization
110
How do you prioritize tasks and incidents in SRE?
Reference answer
Tasks and incidents are prioritized based on their impact on service reliability, user experience, and business objectives. Critical incidents affecting SLOs are usually prioritized higher.
111
Walk me through the experience a developer has on-boarding to your development environment. How long do you think it takes?
Reference answer
Walk me through the experience a developer has deploying with your pipeline. What would you say are the biggest pain points?
112
How do you implement blue-green deployments in Kubernetes?
Reference answer
Blue-green deployments in Kubernetes can be implemented by creating two separate environments (blue and green) using deployments and services. Traffic is routed to the blue environment while the green environment is updated. Once validated, traffic is switched to the green environment, and the blue environment is kept as a fallback.
113
What are the most commonly used signals with the Linux kill command? What does each do? What is the default? When is each appropriate?
Reference answer
- kill -15 sends a TERM signal, which attempts to gracefully stop a process. It is the default. - kill -1 sends a HUP signal, which reloads a process. - kill -9 sends a KILL signal, which kills a process. You can follow this up nicely with a discussion of important system calls.
114
Describe a reliability improvement you implemented and how you measured its success.
Reference answer
At Telefonica, I identified that our microservices architecture was causing frequent downtime. I implemented a comprehensive monitoring solution using Prometheus and Grafana, which allowed us to pinpoint bottlenecks. As a result, we reduced downtime by 40% over three months, which was measured through improved service level indicators (SLIs). Stakeholder feedback highlighted our improved system reliability, which led to increased customer satisfaction.
115
What are cgroups (control groups), and how have you used them?
Reference answer
Skilled candidates will explain that cgroups (control groups) allow for the allocation, prioritization, and monitoring of system resources like CPU time, system memory, network bandwidth, or combinations of these resources among user-defined groups of tasks. They may describe past situations where they've used cgroups, for example to: Limit resource hogging by certain processes; Ensure critical services have enough resources; Manage containerized applications efficiently.
116
How do you ensure that your automation scripts are maintainable and scalable?
Reference answer
Look for answers that mention the importance of readability, modularity, and reusability of code when discussing automation scripts and how to maintain them. For this, site reliability engineers might: Use version control for scripts; Document the code and its purpose; Apply consistent naming conventions; Break down scripts into smaller, manageable functions or modules. To ensure scalability, they would need to create scripts that can handle variable loads and environments dynamically. Candidates might also explain how they've used parameters, environment variables, or configuration files to adapt scripts to different scenarios and needs. Insights into testing strategies, such as unit tests or integration tests for automation scripts, are a plus.
117
What is virtual memory?
Reference answer
Virtual Memory is a storage allocation scheme in which secondary memory can be addressed as though it were part of the main memory. The addresses a program may use to reference memory are distinguished from the addresses the memory system uses to identify physical storage sites and program-generated addresses are translated automatically to the corresponding machine addresses.
118
How do you handle an incident response process?
Reference answer
The incident response process typically involves: detection (via monitoring or alerts), triage (assessing severity and impact), containment (stopping the issue from spreading), resolution (fixing the root cause), and post-mortem (analyzing what went wrong and implementing preventive measures). Communication with stakeholders is critical throughout.
119
Explain the concept of graceful degradation.
Reference answer
Graceful degradation is a strategy where a system continues to operate with reduced functionality in the event of partial failures. This ensures that critical services remain available, even if some features are temporarily disabled or limited.
120
Can you describe a time when you used statistical analysis for reliability testing?
Reference answer
In my previous role, we were developing a new line of consumer electronics. To ascertain the reliability, I used statistical methods like Weibull Analysis and life data analysis. I collected data from accelerated life testing and stress testing, then analyzed it to predict the product's lifespan and identify potential failure modes. The insights drawn from this analysis significantly improved the product's final design and lifespan.
121
Tell me about yourself.
Reference answer
I am very calm during stressful situations, which allows me to make quick, informed decisions about patient care. My co-workers love my calming presence and appreciate having me nearby during a code. I sometimes take on too many tasks and become overwhelmed, so I am working on delegating more effectively and will make my charge nurse aware so they can support me.
122
How do you implement a backup strategy?
Reference answer
A backup strategy includes: regular backups (full and incremental), storing backups in different locations (on-premise and cloud), testing restoration procedures, and encrypting backup data. The recovery point objective (RPO) and recovery time objective (RTO) determine the backup frequency.
123
Write a script that monitors CPU usage and sends an alert if it exceeds a certain threshold.
Reference answer
To monitor CPU usage and send an alert if it exceeds a certain threshold, you can use a simple Bash script. Here's an example: while true; do cpu=$(top -bn1 | grep "Cpu(s)" | sed "s/.*, *\([0-9.]*\)%* id.*/\1/" | awk '{print 100 - $1}'); if (( $(echo "$cpu > 80" | bc -l) )); then echo "CPU usage is above 80%"; fi; sleep 60; done
124
What is OOPs and why is it useful in server design?
Reference answer
A programming paradigm known as OOPs promotes the construction of objects that represent the real entities and are subsequently utilized to carry out tasks. These can be helpful in the design of a server since they enable you to divide the jobs into manageable pieces, which will aid in maintaining control over your server. Additionally, OOPs enables you to write reusable code, which will save you money and time. It's crucial to adhere to several fundamental design principles when creating an OOPs-based server.
125
Are developers on-call for their services?
Reference answer
How do you on-board people to on-call?
126
What is the role of service-level indicators (SLIs), service-level objectives (SLOs), and service-level agreements (SLAs) in SRE?
Reference answer
- SLIs (Service-Level Indicators): Metrics that quantify the reliability and performance of a service, such as latency, error rates, or availability. - SLOs (Service-Level Objectives): Specific, measurable goals for SLIs (e.g., 99.9% availability over a month). - SLAs (Service-Level Agreements): A contractual agreement with customers based on SLOs, specifying consequences if the service doesn't meet the agreed-upon objectives (e.g., service credits). SLIs are the metrics used to measure system health. SLOs define acceptable thresholds, and SLAs represent customer commitments. SLOs drive the reliability goals for an SRE team, while SLIs track how well the system meets them.
127
What is the difference between a process and a thread?
Reference answer
The difference between the two is that: A process is an instance of a running program with its own dedicated memory space; A thread is the smallest unit of processing that can be scheduled by an operating system. Threads operate within a process and share its memory space.
128
How do you handle noisy neighbors in a multi-tenant environment?
Reference answer
Noisy neighbors are managed through resource isolation techniques such as setting resource limits (CPU, memory), using cgroups, implementing quality of service (QoS) policies, and monitoring resource usage to detect and mitigate the impact on other tenants.
129
What is swap memory?
Reference answer
A computer has a sufficient amount of physical memory but most of the time we need more so we swap some memory on disk. Swap space is a space on a hard disk that is a substitute for physical memory. It is used as virtual memory which contains process memory image
130
How would you approach designing a disaster recovery (DR) plan for a critical system?
Reference answer
- Identify critical components: Determine which parts of the system must be operational in a disaster. - Define RTO and RPO: Establish Recovery Time Objective (RTO) and Recovery Point Objective (RPO) based on business requirements. - Redundant infrastructure: Implement multi-region failover, with backups in separate geographic locations. - Data backup strategy: Use incremental backups or snapshot-based replication to store data in multiple locations. - Failover automation: Configure automatic failover mechanisms using DNS failover, load balancers, or orchestrators. - Regular DR drills: Simulate disasters and perform failover testing to ensure the DR plan works under stress. - Documentation: Ensure the DR plan is well-documented, accessible, and regularly updated.
131
How would you describe the relationship between the operations team, IT, and the rest of the engineering team?
Reference answer
How do you handle app security? How do you encourage developers to think about the security of their services?
132
How do you manage dependencies in a microservices architecture?
Reference answer
Dependencies are managed through service discovery (e.g., Consul, Eureka), API contracts (e.g., OpenAPI), and using circuit breakers to handle failures. Versioning and backward compatibility are important to avoid breaking changes across services.
133
Scenario: You are facing frequent production outages due to sudden traffic spikes. How would you solve this?
Reference answer
- Implement auto-scaling to dynamically add or remove resources based on demand, ensuring the system can handle traffic spikes without manual intervention. - Use CDNs to cache static content and reduce load on backend servers. - Optimize database queries and use read replicas to distribute the load. - Add rate limiting and throttling to control traffic and prevent the system from being overwhelmed. - Ensure load balancers are properly configured to distribute traffic evenly across servers.
134
What are the functions of a DevOps team?
Reference answer
Basically, the functions of the ideal DevOps team can't be precisely defined. As we know, the DevOps team bridges the development and operations departments and contributes to continued delivery. The perfect DevOps team cooperatively combines software development and IT operations to improve productivity, speed, and dependability across the software delivery lifecycle. Among the responsibilities are continuous Integration, automated testing, deployment automation, monitoring, and cultivating an environment of communication and cooperation between the development and operations teams.
135
What are your greatest strengths as a nurse?
Reference answer
To evaluate alignment with role expectations. Examples to highlight: - Patient education and engagement - Collaboration across care teams - Cultural competency and communication - Mentorship or informal leadership
136
What is your greatest accomplishment?
Reference answer
I received the Daisy Award in 20XX for developing a patient information discharge handout. I've always looked up to nurses who won the Daisy Award, so for me to receive one was meaningful and reflected my commitment to patient-centered care.
137
What is Site Reliability Engineering (SRE)?
Reference answer
SRE is a discipline that utilizes software engineering principles to manage operations problems. It aims to create highly reliable, scalable systems through automation, measurement, and focusing on metrics like SLOs.
138
How do you handle memory leaks in a production environment?
Reference answer
- Monitoring memory usage trends over time using tools like Prometheus or Datadog. - Heap dumps and analysis tools (e.g., jmap, GDB) to identify problematic allocations. - Use profilers to monitor application memory (e.g., JProfiler for Java). - Implement proper garbage collection or memory management techniques in code, if necessary.
139
What is the tech stack?
Reference answer
I'm looking at the question from an operations perspective. Are they using a hodgepodge of languages or is the development flow opinionated? How many different technologies does the team have to support?
140
How do you handle log aggregation and analysis in a distributed system?
Reference answer
Use centralized logging systems like the ELK Stack (Elasticsearch, Logstash, Kibana) or Fluentd to collect, store, and analyze logs from multiple services. This simplifies debugging and performance analysis.
141
What is the difference between proactive and reactive monitoring?
Reference answer
Proactive monitoring anticipates issues by analyzing trends (e.g., capacity planning) and performing regular health checks. Reactive monitoring responds to incidents after they occur (e.g., alerting on high error rates). Both are necessary, but proactive monitoring helps prevent issues.
142
Explain the concept of a distributed tracing system.
Reference answer
Distributed tracing tracks the path of a request as it flows through multiple microservices. It assigns a unique trace ID and records timing and context at each hop. Tools like Jaeger and Zipkin help identify latency bottlenecks and debug failures in complex systems.
143
Can you describe a time you transitioned a monolithic application to a microservices architecture?
Reference answer
In one of my previous roles, we had a monolithic application that was becoming increasingly difficult to manage and scale. The application had grown over years with different teams adding various features, resulting in a complex codebase and a high number of interdependencies. This was leading to slower deployment cycles and an increase in the number of issues causing system downtime. Recognizing that the monolithic architecture was holding us back, I proposed transitioning to a microservices architecture. I presented the benefits like improved scalability, faster deployment cycles and isolation of issues to management. I also discussed potential challenges such as managing inter-service communication and data consistency. After getting approval, I worked closely with the development team to carve out independent services from the monolith one by one, ensuring each new service was fully functional and tested before moving onto the next. Over time, we managed to successfully move most of the application functionality to microservices. As a result, our deployment cycle shortened significantly as teams could work on their respective services independently, system reliability improved due to fault isolation, and overall system performance improved due to the ability to individually scale services based on their specific needs. It was a significant improvement to our system's design and demonstrated how even major architectural changes can pay off.
144
What is a runbook? Have you written one?
Reference answer
A runbook is a documented set of procedures for handling known issues or alerts. It includes: Yes, I've written runbooks for common alerts (e.g., “disk space 90% full”) and included kubectl, systemctl, or curl commands for quick remediation.
145
What is the purpose of a Service Level Agreement (SLA)?
Reference answer
An SLA is a formal agreement between a service provider and a customer that defines the expected level of service, including uptime, performance, and response times.
146
Tell me about a time you felt overwhelmed.
Reference answer
On my first shift working as charge nurse, I felt extremely overwhelmed. I asked two experienced nurses questions and consulted my supervisor as needed. By utilizing my unit resources and asking for help, I had a great first shift and left feeling confident!
147
Describe a time when you led an SRE initiative to improve system reliability. What was the outcome?
Reference answer
At Google, we faced a recurring issue with our database availability, leading to frequent downtime. I led an initiative to implement a multi-region failover strategy, which involved migrating to a more resilient architecture using Kubernetes. As a result, we reduced downtime by 75% and improved our system performance metrics significantly. This not only enhanced user satisfaction but also reduced operational costs by 20%. Collaboration with the development team was key in ensuring a smooth transition.
148
What are some common challenges or obstacles you have faced in implementing SRE principles and how did you overcome them?
Reference answer
There have been various obstacles during my SRE implementation. Some of them are: - Resistance to change: This is one of the biggest challenges in implementing SRE principles. Stakeholders may not understand the value of SRE, or they may be resistant to change. To overcome this challenge, it is important to educate stakeholders about the benefits of SRE, and to involve them in the planning process. - Lack of collaboration between teams: SRE emphasizes shared ownership between development and operations teams. However, it can sometimes be challenging to foster collaboration and break down silos. Encourage cross-functional collaboration by organizing joint meetings, assigning shared responsibilities, and promoting a culture of open communication and collaboration. - Lack of resources: SRE can be a resource-intensive discipline. It requires a team of engineers with a wide range of skills, as well as the right tools and infrastructure. To overcome this challenge, it is important to prioritize SRE initiatives and to make sure that the team has the resources they need. - Balancing stability and innovation: SRE aims to balance the stability and reliability of systems while enabling innovation and frequent deployments. This can be a delicate balance to strike, as too much emphasis on stability may hinder agility, while too much emphasis on innovation may compromise reliability. To overcome this challenge, implement proper risk management and change control processes to assess the impact of changes before implementation, and leverage techniques like feature flags and canary releases to gradually introduce changes and gather feedback. - Legacy systems and technical debt: Dealing with legacy systems and technical debt can pose a significant challenge to implementing SRE principles. Legacy systems often lack automation and monitoring capabilities, making it harder to ensure reliability and scalability. Start by identifying critical areas for improvement and prioritize efforts based on the impact. Gradual refactoring, automation, and adding monitoring tools can help address technical debt over time. - Scaling and managing complexity: As systems grow, scaling and managing complexity becomes more challenging. Implementing proper monitoring, alerting, and observability mechanisms can help identify and address issues quickly. Automation, including infrastructure as code, can facilitate the management of complex systems and reduce human errors. Additionally, investing in continuous learning and knowledge sharing within the team can help in managing complexity effectively.
149
How do you forecast future needs for a system?
Reference answer
Forecasting future needs for a system primarily relies on historical data analysis and understanding the business trajectory. One method I utilize is trend analysis. By monitoring usage patterns, load on the server, storage requirements, and resource utilization over time, I can spot trends and extrapolate them into the future. Tools like Prometheus and Grafana have been significantly helpful for resource trend analysis. Also, close collaboration with the product and business teams is essential. Understanding the product roadmap, upcoming features, and expected growth in user base or transaction volume can significantly impact system requirements. For example, if the business is planning to expand into new markets, we need to prepare for increased traffic and potentially more distributed traffic. For scaling infrastructure, I often utilize predictive auto-scaling features available on cloud platforms. These services can automatically adjust capacity based on learned patterns and predictions. These combined strategies provide a good estimate of future requirements and allow us to plan for system adjustments proactively, rather than reactively.
150
Describe the TCP three-way handshake process.
Reference answer
The TCP three-way handshake is the process by which a client and server establish a connection. First, the client sends a SYN packet, the server replies with a SYN-ACK packet, and finally the client sends an ACK packet to confirm the connection is established.
151
How would you deploy an application to AWS?
Reference answer
When a company wants to use AWS to deploy their workloads, they need to set up a landing zone (https://docs.aws.amazon.com/prescriptive-guidance/latest/migration-aws-environment/understanding-landing-zones.html). Here, you will set up VPCs, including NAT gateways, Internet gateways, Security Groups etc. if you want to deploy an application on a VM, that is, an EC2 instance, then you will need to provision it. Depending on the kind of application, it will either have internet access or will not. So, you will have to choose the right VPC and, within the VPC, the right subnet (public or private), and the Security group. Also, if an application needs autoscaling, then you may use an AutoScaling group, attach it to a Load Balancer, and point the LB DNS to a DNS record in your hosted zone (example Route53). Once the instance is up, you must install application dependencies (here I am talking about a monolithic application) and deploy the application.
152
How do you handle incident response and post-mortems?
Reference answer
When an incident occurs, I would follow the following steps: - Prioritize and diagnose the incident to assess its impact on the system and users. - Implement immediate remediation steps to minimize downtime and impact. - Communicate the incident to the relevant stakeholders, including both technical and non-technical teams. - After resolving the incident, conduct a post-mortem analysis to understand its root cause and identify preventive measures. - Share the post-mortem findings with the team, learning from the incident and implementing necessary changes to prevent similar incidents in the future.
153
What is caching?
Reference answer
In order to use data that changes infrequently later, caching is the act of storing it in memory. It is frequently applied to boost performance and lessen network load.
154
How do you decide what to automate and what to leave manual? Provide an example.
Reference answer
When deciding what to automate, I primarily focus on tasks that are repetitive, error-prone, time-consuming, or have a direct impact on reliability or security. The goal isn't to automate everything, but to automate intelligently where it provides the most value, reduces toil, and frees up engineers for more complex, creative problem-solving. If a task is performed frequently, say weekly or daily, it's a strong candidate. If it's a one-off task, or something that requires significant human judgment and isn't repeatable in a standardized way, then it might be better left manual, or at least heavily human-supervised. A great example where I applied this thinking was around our application deployment process for a suite of internal services. Historically, deploying a new version of any of these services involved a convoluted manual checklist. An engineer would SSH into a bastion host, manually pull the latest Docker image, stop the old container, start the new one, run database migrations manually, and then perform basic health checks. This process was done weekly, sometimes more frequently, for about five different services. It took over an hour for each service, was highly prone to copy-paste errors, and often led to small configuration discrepancies between environments, causing "works on my machine" issues. This manual deployment clearly fit my criteria for automation: it was highly repetitive, time-consuming, and error-prone. It also directly impacted our ability to quickly roll out bug fixes and new features, leading to developer frustration and slower iteration cycles. My approach was to automate the entire deployment pipeline. I designed and implemented a CI/CD pipeline using GitLab CI. For each service, I defined a gitlab-ci.yml file that would trigger on a merge to the main branch. The pipeline consisted of several stages: - Build: Compiling code, running unit tests, and building a Docker image. - Test: Running integration tests against a temporary environment provisioned specifically for that branch. - Deploy to Staging: Pushing the Docker image to our container registry and deploying it to our staging Kubernetes cluster. This step also included automated smoke tests. - Manual Approval: A crucial human gate for sanity checks and business sign-off before production. - Deploy to Production: Deploying the approved image to our production Kubernetes cluster, followed by automated post-deployment health checks. The implementation involved writing Kubernetes manifests for each service, configuring kubectl commands within the GitLab CI runners, and creating Helm charts to manage environment-specific configurations. I also incorporated database migration tools like Alembic directly into the deployment process, ensuring they ran automatically and safely before the new application version started. The impact was significant. The deployment time for a single service went from over an hour of manual work down to about 5-10 minutes of automated execution, requiring only a click for manual approval. The number of deployment-related errors dropped to almost zero, as the process was standardized and reproducible. Engineers were no longer spending valuable time on repetitive manual deployments; instead, they could focus on developing new features, improving system design, or tackling more complex reliability challenges. It also instilled much greater confidence in our ability to deploy changes safely and quickly, drastically improving our mean time to recovery (MTTR) for deployment-related issues. The investment in automation paid off manifold by improving efficiency, reliability, and developer experience.
155
Difference between Hard link and Soft link
Reference answer
Comparison Parameters | Hard link | Soft link | |---|---|---| | Inode number* | Files that are hard linked take the same inode number. | Files that are soft linked take a different inode number. | | Directories | Hard links are not allowed for directories. (Only a superuser* can do it) | Soft links can be used for linking directories. | | File system | It cannot be used across file systems. | It can be used across file systems. | | Data | Data present in the original file will still be available in the hard links. | Soft links only point to the file name, it does not retain data of the file. | | Original file's deletion | If the original file is removed, the link will still work as it accesses the data the original was having access to. | If the original file is removed, the link will not work as it doesn't access the original file's data. | | Speed | Hard links are comparatively faster. | Soft links are comparatively slower. |
156
What are the key responsibilities of an SRE?
Reference answer
Key responsibilities include monitoring system health, incident management, automating manual tasks (toil reduction), capacity planning, disaster recovery, and conducting blameless postmortems to improve system reliability.
157
What are the key responsibilities of an SRE?
Reference answer
Key responsibilities include monitoring system performance, managing incidents, automating operational tasks, ensuring system reliability and availability, and improving infrastructure scalability.
158
What is the difference between chaos engineering and testing?
Reference answer
Testing verifies expected behavior under controlled conditions. Chaos engineering involves deliberately injecting failures (e.g., killing a server or network latency) into a production system to observe how it behaves and find weaknesses. It helps build confidence in system resilience.
159
Explain TCP. Also, different TCP connection states.
Reference answer
A TCP connection state is a relationship between a client TCP endpoint and a server TCP endpoint. These states are defined by the TCP three-way handshake process. The three-way handshake process allows TCP to establish a connection between two endpoints, where one side initiates a connection setup using an SYN packet, while the other side responds with an ACK packet. Once both sides have sent and received their respective SYN and ACK packets, an established connection is created. After the connection is established, a client can initiate data transfer over this connection by initiating a FIN packet, which will cause the server to send back an ACK packet indicating that all outstanding data has been successfully received and stored in memory. This process of sending and receiving packets works as long as there is no unexpected network congestion or other unforeseen events that cause either side to disconnect. The different states of a TCP connection are defined as follows: - LISTEN - The server is listening on a certain port, such as port 80 for HTTP. - SYNC-SENT - Sent an SYN request and is awaiting a response. - RECEIVED SYN - (Server) Waiting for an ACK occurs after the server sends an ACK. - ESTABLISHED - The three-way TCP handshake has been finished.
160
What is sharding in a database?
Reference answer
A technique for breaking up a database into several parts is called sharding. Each component saves a portion of the data that can be utilized for various kinds of searches.
161
How does a three-way handshake work in TCP?
Reference answer
This is an additional practice question from the text; no specific answer is provided in the source.
162
How do you keep Docker containers safe?
Reference answer
With the help of the following steps, I will keep my docker containers safe: It is a discipline that combines software engineering and system administration to ensure that those systems can scale and can be relied upon. Development of efficient operational processes, monitoring the performance of systems, and proactively fixing issues are focused on by site reliability engineers. One way they establish a potential trade-off between the speed of development and stability of the system is with SLIs, SLOs, and error budgets.
163
What is Infrastructure as Code (IaC), and how have you used it?
Reference answer
IaC is the practice of managing and provisioning infrastructure through code, rather than through manual processes. It enables consistent and repeatable deployment of servers and services with the help of tools such as Terraform, CloudFormation, or Azure Resource Manager templates. Application examples might include: Automating the creation of cloud environments; Scaling resources based on demand; Ensuring compliance with security policies.
164
How do you handle versioning and backward compatibility in microservices?
Reference answer
- API versioning: Implement API versioning through URL paths (e.g., /v1/resource) or headers to ensure backward compatibility for clients. - Feature flags: Use feature flags to gradually roll out changes and allow easy rollback without downtime. - Contract testing: Use tools like Pact to implement consumer-driven contract testing between services, ensuring that changes don't break dependencies. - Deprecation strategies: Communicate API deprecations clearly with clients and provide sufficient time for them to upgrade. - Canary releases: Use canary releases to deploy new versions of microservices to a small subset of users before a full rollout. Backward compatibility ensures that older versions of services continue to function without disruption during upgrades.
165
Explain the difference between horizontal and vertical scaling.
Reference answer
Horizontal scaling involves adding more machines to a system to handle increased load, while vertical scaling increases the capacity of a single machine by adding more resources. Horizontal scaling is often more cost-effective and provides better fault tolerance, whereas vertical scaling can be simpler but has physical limitations.
166
What is incident management in the context of SRE?
Reference answer
Incident management involves detecting, responding to, and resolving incidents to minimize the impact on services and ensure quick recovery and restoration.
167
Describe your experience with containerization and orchestration.
Reference answer
We use Docker for containerization and Kubernetes for orchestration. I'm comfortable writing Dockerfiles, managing image registries, and setting up CI/CD pipelines that build and push images. In Kubernetes, I've worked with deployments, stateful sets, and daemonsets. We use Helm for templating configurations across environments. On the troubleshooting side, I can diagnose issues with pod scheduling, resource constraints, and networking. We had an incident where pods kept getting evicted, and I traced it to memory requests being set too conservatively—we were over-subscribing nodes. I updated the resource requests across our services, and the evictions stopped. I've also implemented resource quotas per namespace to prevent one team's runaway deployment from taking down another team's services. The biggest challenge we've faced is managing persistent state in Kubernetes—we eventually moved stateful services like databases to managed services rather than fighting Kubernetes.
168
Can you explain the difference between DevOps and SRE?
Reference answer
This question helps to distinguish the candidate's knowledge of both fields. DevOps focuses on collaboration between development and operations, aiming to automate and improve processes. SRE, on the other hand, focuses more on reliability and availability, often using software engineering approaches to solve operational problems.
169
What is an error budget and how is it used in SRE?
Reference answer
An error budget is the acceptable amount of unreliability a service can have over a given period, calculated as 100% minus the SLO target (e.g., for a 99.9% SLO, the error budget is 0.1% of total requests). It allows teams to balance reliability with innovation, enabling them to deploy new features as long as the error budget is not exhausted, and to focus on reliability when it is.
170
How do you debug a sudden spike in server latency?
Reference answer
To debug sudden latency spikes: 1) Check monitoring dashboards for resource usage (CPU, memory, I/O) and identify correlated events. 2) Analyze logs for errors or slow queries. 3) Use profiling tools to find bottlenecks in code. 4) Check for network issues or external service dependencies. 5) Review recent deployments or configuration changes. 6) Consider external factors like traffic surges or DDoS attacks.
171
How would you set up a high-availability (HA) system for a web application?
Reference answer
- Load balancers to distribute traffic. - Multiple instances across availability zones. - Database replication for failover. - Use auto-scaling to handle traffic spikes.
172
How do you ensure data consistency in a distributed system?
Reference answer
Data consistency can be achieved using techniques like distributed transactions (e.g., two-phase commit), eventual consistency with conflict resolution, or using consensus algorithms like Raft or Paxos. The choice depends on the system's requirements (e.g., ACID vs. BASE).
173
What is Linux Kill Command?
Reference answer
Linux kills command is an easy way to kill all running processes. With this command, you can kill a process, e.g., a program, a service, or a process that is not running on any Linux system. In other words, it will bring down or terminate any process running on the system. By using the Linux kill command, you can close down a malfunctioning application or stop a misbehaving service. You can also use the kill command to terminate misbehaving jobs in batch scripts. Through this command, you can also reboot the server or halt it while shutting down the network connection and power off the server with one single command.
174
Explain the concept of blameless postmortems.
Reference answer
Blameless postmortems are incident reviews focused on understanding the systemic factors that contributed to a failure, not on individual mistakes. The goal is to learn from the incident and implement preventative measures to improve future reliability, fostering a culture of trust and learning.
175
What are the kill commands in Linux?
Reference answer
Killall: This command is used to kill all the processes with a particular name. PKill: This command is like kill all, except it kills only processes with partial names. Xkill: This command allows users to kill the command by clicking on the window.
176
How do you manage configuration and infrastructure as code?
Reference answer
This question assesses the candidate's familiarity with configuration management and infrastructure automation tools like Ansible, Puppet, Chef, Terraform, or CloudFormation. Look for examples of how they've used these tools to automate infrastructure provisioning and configuration.
177
What is an inode?
Reference answer
Inode is the data structure in the UNIX that includes the metadata about the file. Some of the items in the inode are mode, OWNER (UID, GID), size, time, and time.
178
What scripting languages are you comfortable with for automating SRE tasks?
Reference answer
I'm comfortable with Python and Bash for automation. I use them for tasks such as automating deployments, parsing logs for analysis, setting up monitoring configurations, and scripting routine maintenance operations.
179
Explain the concept of a rate limiter.
Reference answer
A rate limiter controls the number of requests a client can make in a given time window. It protects backend services from overload and ensures fair usage. Common algorithms include token bucket and sliding window.
180
Describe the four golden signals and when you would use each
Reference answer
This tests whether candidates can explain latency, traffic, errors, and saturation while connecting each signal to specific troubleshooting scenarios.
181
What are the benefits of version controlling configuration files?
Reference answer
It allows you to track changes made in configuration files with a history, and if issues arise, rollbacks are easier. It provides consistency in all environments and allows team members to collaborate on tasks. With the use of version control on configuration files, you can have reproducibility and transparency in handling infrastructure.
182
Differences between TCP and UDP
Reference answer
Basis | Transmission Control Protocol (TCP) | User Datagram Protocol (UDP) | |---|---|---| | Type of Service | TCP is a connection-oriented protocol. Connection orientation means that the communicating devices should establish a connection before transmitting data and should close the connection after transmitting the data. | UDP is the Datagram-oriented protocol. This is because there is no overhead for opening a connection, maintaining a connection, or terminating a connection. UDP is efficient for broadcast and multicast types of network transmission. | | Reliability | TCP is reliable as it guarantees the delivery of data to the destination router. | The delivery of data to the destination cannot be guaranteed in UDP. | | Error checking mechanism | TCP provides extensive error-checking mechanisms. It is because it provides flow control and acknowledgment of data. | UDP has only the basic error-checking mechanism using checksums. | | Acknowledgment | An acknowledgment segment is present. | No acknowledgment segment. |
183
What is the difference between a hot and cold standby?
Reference answer
A hot standby is a replica that is fully operational and can take over immediately with minimal downtime. A cold standby is a passive replica that requires startup time (e.g., provisioning) before it can serve traffic. Hot standbys are preferred for high-availability systems.
184
How do you handle configuration management?
Reference answer
I use configuration management tools like Ansible or Terraform to define infrastructure and application configurations declaratively. This ensures consistency across environments, enables version control for configurations, and facilitates automated deployments and rollbacks.
185
How do you approach designing reliability tests?
Reference answer
During the development of an automotive component, I designed reliability tests that included both life testing and accelerated stress testing. I selected tests that would most effectively mimic real-world use and potential extreme conditions. This approach ensured a comprehensive evaluation of the component's reliability.
186
How do you prioritize incidents during an on-call rotation?
Reference answer
Incidents are prioritized based on severity and impact. Critical incidents (e.g., full outage, data loss) are addressed immediately, while minor issues (e.g., low disk space) may be queued. SREs use alerting tools with severity levels and follow escalation policies to ensure timely response.
187
How can you use OOPs in designing a Server?
Reference answer
OOPs is a programming paradigm that encourages the creation of objects to represent real-world entities and these objects are then used to perform tasks. These can be useful in designing a Server because they allow you to break down the tasks into manageable chunks, which will help you to keep your Server under control. As well as this, OOPs allows you to create reusable code which will save time and money. When designing a Server using OOPs, it's important to follow some basic design principles. - The first of these is the Single Responsibility Principle (SRP). This states that each object should have one and only one reason to exist. For example, if you're creating an Order Repository, it should only be responsible for one thing -- processing orders. This will help ensure that your code is easy to read and maintain. - The second principle is the Open/Closed Principle (OCP), which states that an object should be either open for addition or closed for modification. For example, if you're creating an Order Repository, it should be able to accept new orders but not modify existing ones.
188
A critical service is experiencing high latency. Walk me through your troubleshooting process
Reference answer
Strong candidates start with impact assessment before diving into root cause analysis, demonstrating structured thinking under pressure.
189
How do you ensure database replication is reliable and consistent across multiple regions?
Reference answer
- Use strong consistency models (e.g., Paxos, Raft) for mission-critical systems. - Monitor replication lag using database metrics. - Set up geo-replication with automatic failover mechanisms. - Test failover scenarios to ensure minimal downtime.
190
What is a culture of blamelessness?
Reference answer
A culture of blamelessness is more on learning from the failure rather than holding a person liable for the cause. It enhances open communication whereby teams can take time to scrutinize incidents without fear of reprisal from punishment. Continuous improvement is always encouraged, team members trust each other, and the resolution of incidents brings better outcomes.
191
What is cloud computing and what are its major benefits?
Reference answer
Cloud computing is a model that provides on-demand delivery of computing services over the internet. These services can include storage, databases, networking, software, and more. One of the major benefits of cloud computing is the ability to scale resources up or down quickly and efficiently, depending on the demand, which can result in cost and time savings.
192
How do you handle and manage scalability issues?
Reference answer
This question evaluates the candidate's experience with scaling systems. They should discuss strategies for horizontal and vertical scaling, load balancing, and use of auto-scaling features in cloud environments.
193
How do you ensure compliance with regulatory requirements in SRE?
Reference answer
Compliance is ensured by implementing security controls, maintaining audit logs, conducting regular security assessments, and following best practices for data protection and privacy. Compliance tools and frameworks help automate and enforce these requirements.
194
Explain the concept of a canary deployment.
Reference answer
A canary deployment is a rollout strategy where a new version is deployed to a small subset of users (the canary group) before a full release. If no issues are detected (e.g., errors or performance degradation), the rollout proceeds gradually. This reduces risk and allows early detection of problems.
195
What is DNS?
Reference answer
Domain Name System (DNS) is a hostname for IP address translation service. DNS is a distributed database implemented in a hierarchy of name servers. It is an application layer protocol for message exchange between clients and servers. It is required for the functioning of the Internet.
196
How would you improve a system with high on-call alert fatigue?
Reference answer
Alert fatigue usually means you're alerting on symptoms that aren't actually user-impacting, or you're not setting appropriate thresholds. My approach is to audit the alerts. For each alert that's firing frequently, I ask: if this fires right now, would I wake up? If the answer is no, it shouldn't page the on-call engineer. It should go to a dashboard that on-call reviews during business hours. We had an alert for 'latency above 500ms' that was firing constantly. But when we looked at actual user impact, we weren't losing requests until latency hit 2 seconds. We also implemented alert suppression rules—during deployments, certain alerts get suppressed because we expect things to be in flux. We set up alert grouping so that if the same root cause triggers 50 alerts, on-call gets one notification instead of 50 pages. We also fixed some fundamental issues—our database was getting slow during backup windows, which triggered dozens of alerts. We moved to incremental backups and the problem went away. I also implemented an SLA for on-call: we shouldn't be paging more than once per shift on average. When we hit more than that, it's an organizational priority to fix it. Within six months, we cut false alerts by 80%.
197
How would you rate test coverage and do you continue to measure that? What about test coverage is important to the team?
Reference answer
Do you have blue-green deployments? Do you have canaries?
198
How do you approach the challenge of maintaining consistency in a distributed system?
Reference answer
In distributed systems, ensuring consistency can be difficult due to network partitions and latency. Approaches to maintain consistency include: - Strong Consistency: Use consensus algorithms like Paxos or Raft to ensure data is consistently written across all nodes. - Eventual Consistency: Use systems like Cassandra or DynamoDB, where consistency is achieved over time, and ensure the system can handle eventual consistency where it's acceptable. - CAP Theorem: Understand the trade-offs between consistency, availability, and partition tolerance and design systems accordingly based on business needs. - Implement quorum-based reads/writes to strike a balance between performance and consistency.
199
What is the role of monitoring and observability in SRE?
Reference answer
Monitoring and observability are key aspects in allowing any SRE to get a picture of a system's health. Monitoring alerts to a problem, while observability gives further insight into how well the system is performing, allowing the problem to be addressed before it takes place. Together, they act as a monitoring camp through which SRE can maintain a reliable system by preemptively tracing failures before they get to the end users or business processes.
200
How do you optimize costs for cloud resources?
Reference answer
To optimize the costs of cloud resources, SREs would need to: Analyze current and projected costs with tools provided by cloud platforms; Use autoscaling to adjust resources based on demand; Select the right types and sizes of resources (e.g., compute instances) for the task at hand; Use spot instances or reserved instances where appropriate; Set up budget alerts to monitor and control expenses. Skilled applicants will also mention that different deployment architectures, such as serverless deployments or containers, also impact costs.