deployment

Zero-downtime AWS Lambda deployments are achieved by coordinating Lambda versions and aliases to atomically route production traffic. This workflow supports dev, staging, and production environments while ensuring the same artifact is promoted across all stages for consistency.

Pre-deployment validation catches configuration drift by running infrastructure checks before any code is pushed. You execute a validation script targeting your specific environment, which ensures your infrastructure is ready before the CI/CD pipeline triggers the actual deployment.

Yes, Terraform and Docker are required for this Lambda deployment workflow. Terraform handles infrastructure provisioning, Docker manages image handling, and GitHub Actions automates the pipeline, while AWS CLI, Doppler, and jq manage secrets and data formatting.

Multi-environment promotion works by pushing the exact same artifact sequentially across dev, staging, and production environments. This same-artifact promotion strategy guarantees consistency and is orchestrated through branching workflows within your CI/CD pipeline.

Doppler is required for secrets management during automated CI/CD deployments. It integrates directly into the pipeline to securely inject environment-specific secrets into your Lambda functions without exposing them in your codebase.

The AWS CLI handles direct Lambda API interactions, while jq processes JSON outputs from CLI commands for validation logic. Doppler is required alongside these to securely inject environment secrets, ensuring the automated CI/CD workflow executes safely.