AntStack's Serverless Architecture

Some code changes will be required to convert an existing application to an event-driven architecture. Once the changes are done, the application can then be deployed onto the designed serverless architecture using IaC tools such as AWS SAM, CDK, or Amplify.

You can use monitoring tools such as Lumigo or AWS’s own XRay to find the bottlenecks in your serverless applications. You can accurately find where in your architecture is the cause of the performance issue and take necessary actions to overcome the bottlenecks.

The most commonly known limitations of serverless architecture are the following - i) Cold start: As much as this can cause latencies to the end user, much developing surrounding this issue has brought this latency to mere milliseconds. This can also be resolved by tweaking the configurations for your lambda. ii) Heavy computations cannot be run on serverless architectures: This, in fact, is a myth. Serverless architectures most popular component, AWS Lambda, is stateless. AWS Lambda has a set maximum timeout and cannot store any state data. This makes developers believe that large workloads cannot be run on serverless architectures. However, with the right architectural decisions, this limitation can easily be mitigated to provide flawless architecture for any problem.

Yes, serverless architecture is a great option for designing real-time applications. With all of the services in the serverless stack being so highly available, reliable, and fast, you need not worry about large latencies in your application.

It is a good fit for most applications. More and more serverless are beginning to provide a serverless option for existing services like OpenSearch and RDS. It is always a good idea to review the purpose of the application and the kind of load that is expected to be handled by it before deciding what architecture suits best for your application. Serverless architecture is a great choice for almost all projects.