Serverless Architecture with Lambda + API Gateway: Implementation and Cost Optimization

Introduction

Serverless architectures minimize operational overhead and can be very cost-effective for variable workloads. This post covers how to build and optimize Lambda + API Gateway apps for cost.

Implementation Steps

  1. Create Lambda Functions
    • Write stateless functions triggered by HTTP API Gateway events.
    • Package and deploy using SAM, Serverless Framework, or CDK.
  2. Set up API Gateway
    • Use REST or HTTP APIs depending on needs (HTTP APIs are cheaper).
    • Enable caching for frequently requested data.
  3. Select Database
    • Use DynamoDB or Aurora Serverless for backend persistence.
  4. Configure IAM Roles and Policies
    • Limit permissions to least privilege.
  5. Set Up Monitoring and Alerts
    • Use CloudWatch Logs and metrics for Lambda invocations and errors.

Cost Optimization Tips

  • Use HTTP APIs over REST APIs: HTTP APIs cost less per million requests.
  • Keep Lambda Function Execution Times Low: Optimize code to reduce run time and memory usage.
  • Use Provisioned Concurrency Only When Needed: On-demand is cheaper for spiky workloads.
  • Set Up API Gateway Caching: Cache common responses to reduce Lambda invocations.
  • Use DynamoDB On-Demand Mode: Pay per request for unpredictable workloads.
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