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What are the pros and cons of migrating from IaaS to Serverless architecture for scaling?


Our current application is hosted on standard EC2 instances (IaaS), but we are hitting limits with our manual scaling efforts during peak traffic. We are considering a major refactor to move to a Serverless model using AWS Lambda or Azure Functions. However, our senior architects are worried about "Cold Starts" and the potential for vendor lock-in. Is the cost-saving of "pay-per-execution" really worth the complexity of breaking down our monolith into functions? We want to know if Serverless is truly the future for high-scale enterprise apps or if we should stick with Kubernetes (EKS) to maintain more control over our underlying infrastructure.


   2024-09-22 in Software Development by Linda Carter | 8959 Views


All answers to this question.


The transition from IaaS to Serverless is usually worth it for event-driven workloads, but it requires a shift in mindset. The "pay-per-use" model is incredibly cost-efficient for unpredictable traffic, but "Cold Starts" can be an issue for latency-sensitive user-facing apps. To mitigate this, you can use "Provisioned Concurrency" in AWS, though it adds to the cost. If your application is a heavy monolith, a full refactor to Lambda might be too much. In that case, I’d suggest a "Middle Ground": containerize your app and run it on AWS Fargate. You get the benefits of serverless scaling without the strict execution time limits of individual functions.

   Answered 2024-09-22 by Barbara Lewis


How are you planning to manage local testing and debugging if you move to a completely serverless stack? That's usually the biggest pain point for our devs.

   Answered 2024-09-24 by Michael Thompson

  • Michael, we use LocalStack to emulate the AWS environment on our local machines. It’s not a 1:1 match, but it catches 90% of the issues before they hit the dev environment. For debugging, we’ve had to invest heavily in "Observability" tools like Datadog or AWS X-Ray. You can't just SSH into a server anymore to see what's wrong, so your logging and tracing game has to be perfect. It’s a steep learning curve but the scalability we've gained is worth the extra monitoring effort.

       Commented 2024-09-25 by David Foster


Vendor lock-in is a real risk. If you use too many native services like DynamoDB or SQS with your functions, moving to Azure or GCP later becomes a multi-year project.

   Answered 2024-09-26 by Nancy Scott

  • Nancy is right. We used the "Serverless Framework" to keep our code somewhat portable, but the architectural dependencies are always the hardest part to migrate between cloud providers.

       Commented 2024-09-27 by Linda Carter



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