Deploying AWS Lambdas Across Environments. Serverless platforms like AWS Lambda handle creating, destroying, updating, and exposing these servers for you, allowing you to focus on running your code.
Serverless is the latest iteration in a steady shift away from managing physical or virtual machines. The term "serverless" is a little misleading, because there are still servers running code. But the promise of serverless is that you don't have to think about servers anymore. Serverless platforms like AWS Lambda handle creating, destroying, updating, and exposing these servers for you, allowing you to focus on running your code.
The serverless model is very compelling for certain types of workloads. Infrequently run code, like a function triggered by a file upload or the addition of a database row, is very convenient to host as a Lambda. You may even find more traditional workloads like website hosting can be accommodated by Lambdas in a cost-effective and scalable manner.
Deploying serverless applications is trivial these days. CLI tools and IDE plugins allow you to go from code to production with just a single command or click. Eventually, though such deployments will need a more robust process to allow changes to be batched together and verified by teams who don't write the code. The traditional solution to these requirements is to have multiple environments, and progress deployments through internal testing environments before they reach production.
In this blog post, we'll dive into how multi-environment serverless deployments can be expressed in CloudFormation and progressed in a reliable manner.
For this post, we'll consider two styles of serverless deployments.
The self-contained style wraps up all the Lambda functions and the services that trigger them (API Gateway in our case) as a single CloudFormation template creating independent and isolated infrastructure stacks for each environment.
Self-contained deployments have the following benefits:
Serverless is a great approach to build highly scalable applications quickly with mentioned services. When AWS launched Lambda back in 2014, the whole new concept of Serverless evolved. It became one of the most successful services from AWS today. It is the right time to learn Cloud computing as a developer.
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