Serverless Design Patterns and Anti‑Patterns

In 2014 AWS introduced Lambda, sparking the Serverless revolution; today many applications rely heavily on Lambda to maximize cloud value, enabling rapid prototyping, cost control, high availability, auto‑scaling, and efficient operations.

Before adopting Serverless, it is crucial to understand both anti‑patterns—such as treating a Lambda function as a monolith, using it as an orchestrator, invoking Lambda from Lambda, and creating event‑driven dead loops—and the design principles that avoid these pitfalls.

The article outlines five common Serverless design patterns: Command pattern for decoupling request handling; Messaging pattern using asynchronous queues (e.g., SQS) for loose coupling and reliability; Priority Queue pattern to handle messages with different service levels; Fan‑Out pattern leveraging SNS to invoke multiple Lambdas or other subscribers in parallel; and Pipeline‑Filter pattern that breaks complex tasks into fine‑grained, idempotent Lambda functions connected by well‑defined interfaces.

Each pattern is described with its benefits, typical implementations (e.g., using API Gateway, Step Functions, SNS, SQS, Kinesis), and guidance on applying the single‑task principle, idempotency, and clear input/output contracts.

The summary emphasizes that understanding these anti‑patterns and applying the recommended design patterns are essential for building robust, scalable Serverless applications before committing to an initial architecture.