Deploying AWS Lambdas across environments

Serverless computing represents a shift away from managing traditional server infrastructure, with platforms like AWS Lambda allowing developers to focus on code execution without worrying about server management. This approach is particularly advantageous for infrequent or scalable workloads, such as functions triggered by specific events. The blog post discusses two deployment strategies for serverless applications: self-contained and decoupled. Self-contained deployments bundle all related resources into a single CloudFormation stack, simplifying management but limiting flexibility, as all components are tightly coupled. On the other hand, decoupled deployments allow independent management of each Lambda function while sharing a common API Gateway, which provides more flexibility for microservices architecture. The post highlights the challenges of using AWS's Lambda aliases and API Gateway stages for managing environments and deployments and suggests a model where each environment corresponds to a single API Gateway and stage, while multiple Lambdas can deploy independently. This approach supports common deployment patterns like hotfixes and feature branches, offering a scalable solution for complex serverless architectures.