lambda-patterns

Reduce AWS Lambda cold starts by configuring Provisioned Concurrency via Terraform. This pre-initializes execution environments to eliminate initialization latency and deliver predictable performance for latency-sensitive, event-driven workloads.

Configure SQS event source mapping with a Dead Letter Queue (DLQ) using the provided Terraform scripts. This pattern captures failed messages and supports partial batch failure reporting to ensure reliable message processing.

The best way to manage AWS Lambda Layers for shared code is by extracting dependencies into a separate layer and deploying it alongside your TypeScript handler using Terraform to reduce deployment package size.

Yes, this AWS Lambda pattern supports event-driven architectures by deploying a scalable backend using API Gateway, Lambda, and DynamoDB. It integrates AWS Lambda Powertools for enhanced observability across the event-driven workflow.

Implement idempotency in an AWS Lambda function by applying dedicated design patterns with AWS Lambda Powertools. This ensures safe retries without duplicate side effects, maintaining reliability in event-driven architectures.

Set up CloudWatch alarms for AWS Lambda errors and DLQ messages by defining alarm thresholds in your Terraform configuration. This pattern ensures you receive alerts when function failures or dead-lettered messages occur.