Reference answer
I'm most familiar with AWS and Azure, having worked extensively on migration projects across both. My primary experience lies with AWS, where I've spent the last six years. I deeply understand its ecosystem, covering core compute services like EC2, serverless options like Lambda, and containerization with EKS and ECS. For storage, I'm comfortable with S3, EBS, and EFS, and for databases, I've worked with RDS for various engines like PostgreSQL, MySQL, and SQL Server, as well as DynamoDB for NoSQL needs. I've also implemented networking components like VPCs, Subnets, Route 53, and Direct Connect. In terms of migration-specific tools, I've used AWS Server Migration Service, AWS Database Migration Service (DMS), and CloudEndure Migration for various lift-and-shift scenarios. My hands-on work includes designing target architectures, implementing security best practices using IAM and security groups, and setting up monitoring with CloudWatch and X-Ray. For example, I led a project to migrate a data analytics platform from on-premise Hadoop to an AWS stack utilizing EMR, S3, and Redshift, which involved substantial data transfer and pipeline re-engineering.
On the Azure front, I have about three years of dedicated experience, primarily focusing on migrating .NET applications and SQL Server databases. I'm proficient with Azure Virtual Machines, Azure App Service for web applications, and Azure Kubernetes Service (AKS) for containerized workloads. For databases, Azure SQL Database and Azure Database for PostgreSQL are services I've used frequently. I've also worked with Azure Storage Accounts (blob, file, queue), Azure VNet, and Azure ExpressRoute for hybrid connectivity. My experience includes using Azure Migrate for discovery and assessment, as well as for actual server and database migrations. I helped a financial services client move their entire ASP.NET application suite and associated SQL Server databases to Azure. This involved using Azure Migrate to assess server dependencies and then orchestrating the migration of hundreds of virtual machines and dozens of databases, ensuring data integrity and minimal downtime during the cutover. I also configured Azure AD for identity management and set up Azure Security Center for threat protection.
While my hands-on keyboard time is primarily with AWS and Azure, I've also gained conceptual understanding of Google Cloud Platform (GCP) through self-study and architecting potential solutions. I understand GCP's strengths, particularly in data analytics with BigQuery and machine learning services, and its robust container offerings like GKE. I also know about their migration services such as Migrate for Compute Engine. This broad exposure across major providers allows me to objectively assess which platform best suits a client's specific requirements, considering existing investments, technical skillsets, and long-term strategic goals. I can articulate the pros and cons of each in terms of specific use cases, whether it's cost optimization, regulatory compliance, or particular service offerings.