Codefresh

Codefresh

Codefresh automates build, test, and deploy workflows for cloud-native applications with GitOps and Kubernetes-native delivery.

Operational order

1. Account settings — obtain account_id for team-member lookups.
2. Projects and pipelines — navigate project-scoped pipeline names before build history.
3. Builds — inspect workflow runs; paginate sequentially with a small page size.
4. Contexts and execution contexts — verify Git, registry, and runtime cluster wiring.
5. Analytics — read analytics metadata before requesting a named report.

Data Model

• Account settings — security and general preferences; provides account_id.
• Account users — team members for a given account_id.
• Agents — runtime agents connected to the platform.
• Analytics metadata / reports — report catalog and per-report payloads.
• Audit — compliance and change events.
• Builds — workflow run history (YAML-heavy payloads).
• Contexts — Git, registry, and cloud integration contexts.
• Execution contexts — runtime clusters and hybrid environments.
• Helm repos — chart repositories for Kubernetes deployments.
• Pipelines — CI/CD pipeline definitions and status.
• Projects — project groupings for pipelines.
• Step types — available pipeline step templates.

Gotchas

• account_id required for team-member reads — resolve from account settings first.
• Build pagination: sequential integer pages in one session — omit page, then page=2, page=3 when pagination.nextPage is true. Skipping ahead fails with PAGINATION_BAD_REQUEST_ERROR.
• Build payload size: each build may include full pipeline YAML; keep limit at 10–25 on build history reads.
• Read-only integration: this bundle covers inspection and analytics only — pipeline triggers and CRUD are not exposed here.