Learn CONCOURSE-CI with Real Code Examples

Concourse server (ATC) orchestrates pipelines

Workers execute tasks in containers

Resources define inputs/outputs and trigger jobs

Tasks define the commands to run in containers

Web UI and CLI provide visualization and control

Pipeline YAML defines jobs and resources

Tasks run inside containerized workers

Resource versions trigger jobs

Pipeline execution is visible in web UI

Artifacts and outputs flow through tasks and resources

Containerized, reproducible CI/CD pipelines

Resource-driven event triggers

Job/task modularization

Multi-worker parallel execution

Integration with external systems via resources

CI/CD for microservices deployments

Docker image build and promotion pipelines

Multi-stage testing pipelines

Kubernetes deployment automation

Cross-repo automated pipelines

Pipelines as code (YAML declarative)

Container-based task execution

Resource-driven automation

Reproducibility and traceability

Scalable multi-worker architecture

Add more worker nodes for parallel execution

Split large pipelines into multiple jobs

Use resource versioning to optimize triggers

Distribute containers across workers

Monitor worker load and pipeline duration

Convert existing CI/CD scripts to Concourse tasks

Define pipelines declaratively in YAML

Set up resources for external dependencies

Manage secrets securely via Vault

Test and iterate pipelines before production