For starters, Serverless effectively requires you to adopt the infrastructure as code paradigm. This usually makes it so that your AWS resources and business logic code end up being closely coupled. But often you can draw a line between the resources that get updated frequently and the ones that aren't. For example, your Lambda functions and API Gateway endpoints get updated fairly frequently. While, resources like DynamoDB, Cognito, or S3 are less likely to do so.

One of the many benefits that serverless computing is supposed to offer over traditional, server-based solutions is reduced costs in building and running software systems. While using the serverless stack can offer substantial savings, it doesn't guarantee cheaper IT operations for all types of workloads.

API Requests: Since many Serverless apps are heavy on API calls, this can get quite pricey at roughly $3.50 per 1M executions.

You can build a serverless web application by using several AWS services together. Each service is fully managed and does not require you to provision or manage servers. You only need to configure them together and upload your application code to AWS Lambda, a serverless compute service.

High latency background tasks like multimedia or data processing. Client-heavy applications where most of the logic can be moved to the client. Applications with an unpredictable amount of server load.

The Serverless Framework is a free and open-source web framework written using Node. ... Serverless is the first framework developed for building applications on AWS Lambda, a serverless computing platform provided by Amazon as a part of Amazon Web Services.

Summary. Keep these two points in mind: For most periodic or very light workloads, Lambda is dramatically less expensive than even the smallest EC2 instances. Focus on the memory and execution time that a typical transaction in your app will need to relate a given instance size to the break-even Lambda cost.