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AWS CodeBuild

AWS CodeBuild runs isolated, on-demand build environments from source through commands in a build specification, producing logs, reports, caches, and artifacts without a persistent build-server fleet.

Explore pricing models, common use cases, infrastructure support, and the AWS services that commonly work with AWS CodeBuild.

AWS CodeBuild pricing and cost programs

Pricing model: Build compute usage

On-Demand
Available
Reserved Instances or reserved capacity
Service-specific
Savings Plans
Service-specific
Spot
Not applicable

Billing dimensions: Build minutes · Compute type · Reserved capacity · Test reporting

Programs and modes: On-Demand build fleets · Reserved capacity fleets · Lambda compute

CodeBuild reserved capacity is service-specific fleet capacity, not EC2 Reserved Instances.

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 pricing

Official AWS sources reviewed 2026-07-21.

Why implement AWS CodeBuild?

  • Scales build capacity without operating CI workers and supports managed or custom images, multiple compute types, batch builds, reports, caching, and VPC access.
  • Integrates with common source providers, CodePipeline, S3, ECR, CloudWatch Logs, test reports, IAM, KMS, Secrets Manager, and Parameter Store.
  • Provides ephemeral build environments that make capacity and host replacement an AWS responsibility.

How to implement AWS CodeBuild

  1. Create a narrowly scoped project role, pin source revisions and image digests or controlled image versions, choose compute and network isolation, configure encrypted artifacts, logs, timeouts, retries, and concurrency limits.
  2. Use buildspec version 0.2, fetch secrets from Secrets Manager or Parameter Store at runtime, install dependencies deterministically, run tests and security checks, and produce immutable versioned artifacts plus reports.
  3. Publish only after verification, separate build and deployment roles, record provenance, monitor queue time, failures, spend and outbound access, and routinely refresh base images and toolchains.

AWS CodeBuild best practices

  • Assume build commands run as root unless `run-as` is set, isolate untrusted contributions, minimize network access, and never expose privileged Docker or credentials to code that is not trusted.
  • Do not put plaintext secrets in environment variables or buildspec files; documented masking only protects exact secret values and transformed values can still leak into logs.
  • Pin dependencies and build images, make builds repeatable, scan outputs, sign or attest artifacts, and grant the service role access only to the exact sources, secrets, caches, logs, and destinations it needs.

AWS CodeBuild use cases and server impact

  • Application compilation and automated tests
  • Container image builds and scans
  • Infrastructure validation and artifact packaging

Replaces persistent CI worker fleets and scaling, patching, and queue management, while build isolation, supply-chain integrity, test quality, secrets, and artifact promotion remain yours.

Official implementation resources

Commonly paired AWS services

Planning guides that use AWS CodeBuild