One-Click Deployment of Meltano + Airflow with GitHub Actions
We’ve automated the full deployment lifecycle of our Meltano + Airflow stack using Terraform and GitHub Actions. Built initially for AWS, the infrastructure now supports Azure as well — making it reusable, secure, and deployable across environments with a single command.
Why Automate Deployments?
Manual infrastructure setup introduces risk, delays onboarding, and breaks consistency. By codifying every component—from VPCs to ECS tasks—we’ve created a scalable foundation that removes human error and accelerates delivery.
Architecture at a Glance
- Modular Terraform layout with environment-specific configurations
- ECS clusters with optional EC2 or Fargate capacity providers
- Airflow services deployed with persistent EFS storage
- Meltano jobs triggered via ECS
RunTaskOperator from Airflow - CloudWatch dashboards and alarms for observability
- Terraform state stored securely in S3 with DynamoDB locking
- Azure support enabled via modular provider logic
Deployment Highlights
- One-click provisioning with environment-aware shell scripts
- GitHub Actions pipeline for automated infrastructure deployment
- Cross-cloud support for AWS (default) and Azure (optional)
- Isolated, on-demand Meltano task execution
- Shared module design for reuse across clients
What Sets It Apart
- End-to-end infrastructure-as-code with state safety and CI/CD integration
- Native AWS resource integration (ECS, EFS, ALB, Secrets Manager)
- Proven implementation patterns for multi-environment consistency
- Azure-compatible modules extend flexibility without duplicating code
- Designed for data teams managing multiple clients or projects
What’s Next
We’re expanding this stack with Kubernetes support (EKS) and managed Airflow options for greater scalability, simplicity and control.
Want to automate your data infrastructure? Read the full guide or get in touch to explore implementation options.
