參考答案
I have extensive experience with containerization using Docker and orchestration with Kubernetes, as well as Amazon ECS. My journey with containers started with Docker, where I built Dockerfiles to package applications and their dependencies into portable images. For example, I containerized a legacy Python web application that had complex dependency issues. By defining its environment in a Dockerfile, specifying the base image, copying application code, and installing libraries, I created a consistent build that ran identically across development, staging, and production environments. I also worked with multi-stage builds to create smaller, more secure final images by separating build-time dependencies from runtime ones. I'm comfortable using Docker Compose for local development to spin up multi-container applications, linking services like a web app, a database, and a cache. For orchestration, I primarily focused on Kubernetes for production deployments. I've deployed and managed Kubernetes clusters on AWS using Amazon EKS. This involved setting up the VPC, subnets, worker nodes, and IAM roles necessary for EKS to operate. I'm proficient in writing Kubernetes manifests for Deployments, Services, Ingresses, ConfigMaps, and Secrets. For instance, I deployed a microservices-based application consisting of five distinct services. Each service had its own Deployment, defining the desired number of replicas, resource limits, and readiness/liveness probes. I used Services to expose these deployments internally and an NGINX Ingress controller to manage external access and load balancing, along with TLS termination. I've also managed persistent storage for stateful applications in Kubernetes using Persistent Volumes and Persistent Volume Claims, typically backed by AWS EBS volumes or EFS. A key part of my role involved troubleshooting issues within Kubernetes, such as pod crashes, networking problems between services, or resource starvation. I'd use kubectl describe, kubectl logs, and kubectl exec to diagnose problems, adjust resource requests and limits, or inspect container states. I also set up Prometheus and Grafana for monitoring cluster health and application metrics, integrating them to provide dashboards and alerts. Moreover, I've worked with Helm for packaging and deploying applications to Kubernetes, creating custom charts for our internal applications and managing releases. Using Helm simplified the deployment process and allowed us to manage complex application configurations more effectively across different environments. My goal is always to leverage these tools to improve application reliability, scalability, and deployment velocity.
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