devops-deploy

To set up a CI/CD pipeline with GitHub Actions and Docker, you can use automated workflows that build optimized container images, run security scans, and deploy changes to AWS Lambda or Terraform-provisioned infrastructure without manual guesswork.

The best way to package a Python FastAPI service for production involves using optimized Dockerfiles with aligned health checks and environment variables to ensure the containerized application remains resilient and observable after deployment.

Yes, you can use Terraform to automate AWS infrastructure changes by mapping out provisioning steps within your deployment pipeline, ensuring cloud resources are configured consistently alongside GitHub Actions CI/CD workflows.

Monitoring integration for AWS Lambda deployments works by setting up CloudWatch alarms, structured logging, and FastAPI health endpoints to ensure services remain observable and production-ready after launch.

You need a rollback plan in your GitHub Actions CI/CD workflow to prevent broken releases from affecting production, ensuring that if pipeline validation or security checks fail, you can safely revert to a stable state.

Before pushing a Docker container build to production, you should verify pipeline validation, complete a production readiness checklist, confirm health checks are aligned, and ensure monitoring hooks and rollback plans are in place.