Developer Tools
AWS CodePipeline
AWS CodePipeline orchestrates ordered source, build, test, approval, and deployment actions using versioned artifacts, stage transitions, execution modes, variables, events, and rollback controls.
Explore pricing models, common use cases, infrastructure support, and the AWS services that commonly work with AWS CodePipeline.
AWS CodePipeline pricing and cost programs
Pricing model: Pipeline execution usage
- On-Demand
- Available
- Reserved Instances or reserved capacity
- Not applicable
- Savings Plans
- Not applicable
- Spot
- Not applicable
Billing dimensions: Pipeline type · Action executions · Related build and deployment services
Programs and modes: V1 pipelines · V2 pipelines · Custom actions
Pipeline type determines whether monthly pipeline or execution charges apply.
Free Tier: Available — verify current offers
Pricing reviewed 2026-07-25. Reviewed against the linked official AWS pricing page. Recheck regional rates and program terms before purchase.
Official AWS sources reviewed 2026-07-21.
Why implement AWS CodePipeline?
- Replaces custom release-orchestration servers with managed stage and action execution across AWS and supported third-party providers.
- Maintains execution and artifact context across source, build, test, approval, infrastructure, and deployment stages.
- Supports manual approvals, variables, conditions, stage rollback, EventBridge events, cross-account actions, and different execution modes.
How to implement AWS CodePipeline
- Design small stages with explicit inputs, outputs, owners, timeouts, quality gates, execution mode, rollback target, and separation between development and production accounts.
- Create an encrypted S3 artifact store, narrowly scoped pipeline and action roles, immutable build outputs, automated tests and scans, approvals for material risk, and deployment actions through constrained roles.
- Exercise superseded and concurrent executions, failed actions, stage rollback, artifact integrity, cross-account KMS access, and notification paths; monitor events, latency, failure rate, and stale pipelines.
AWS CodePipeline best practices
- Never put secrets in action configuration, default variables, or user-visible pipeline parameters; reference a secret store from the action that needs the value.
- Encrypt artifact buckets with KMS, block public access, version artifacts, separate pipeline and deploy permissions, and constrain cross-account trust to the exact pipeline and resources.
- Automate deterministic tests before approvals, make deployments idempotent, retain evidence, and understand that stage rollback starts a new execution against a previously successful result rather than undoing every side effect.
AWS CodePipeline use cases and server impact
- Continuous delivery for applications
- Multi-account infrastructure promotion
- Governed releases with tests and approvals
Replaces custom pipeline schedulers and release coordinators, while source integrity, build logic, environment design, approval policy, safe deployment, and rollback correctness remain customer work.
Official implementation resources
Commonly paired AWS services
- AWS CodeCommit — Git repositories
- AWS CodeBuild — Build & test code
- AWS CodeDeploy — Automated deploys
- AWS CloudFormation — Infra as code
- Amazon Simple Storage Service — Object storage
- AWS Key Management Service — Key management
- AWS Secrets Manager — Store secrets & keys
- Amazon EventBridge — Event bus
Planning guides that use AWS CodePipeline
- AWS CodeArtifact planning guide — Use CodePipeline promotion stages to move tested package versions through controlled repositories.
- AWS CodeCommit planning guide — Repoint CodePipeline source stages first, since they hold the repository and branch references.