Tekton
Kubernetes-native CI/CD framework that defines pipeline building blocks as Kubernetes Custom Resource Definitions (CRDs). Tekton provides Task, Pipeline, TaskRun, PipelineRun, and Trigger CRDs — CI/CD pipelines are just Kubernetes resources. Part of the CD Foundation (Linux Foundation). Powers OpenShift Pipelines (Red Hat) and Google Cloud Build. REST API is Kubernetes API extended with Tekton CRDs. Agents interact via kubectl or Kubernetes client libraries.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Apache 2.0 CNCF graduated project with strong security posture. Kubernetes RBAC for fine-grained access control. Tekton Chains for SLSA supply chain security (artifact attestation, signing). Workload identity via Kubernetes ServiceAccounts. Secrets via Kubernetes Secrets (recommend external-secrets for production).
⚡ Reliability
Best When
You're running on Kubernetes and want cloud-native CI/CD pipeline definitions as Kubernetes resources, with full control and no vendor lock-in.
Avoid When
You don't need Kubernetes-native CI/CD or don't have Kubernetes expertise — GitHub Actions, Buildkite, or CircleCI are far simpler to operate.
Use Cases
- • Trigger Tekton pipeline runs programmatically via Kubernetes API from agent orchestration systems for code build, test, and deployment workflows
- • Watch PipelineRun/TaskRun status via Kubernetes watch API to monitor agent-triggered CI/CD pipeline execution in real time without polling
- • Define reusable CI/CD pipeline components (Tasks) as Kubernetes resources that agent workflows can compose into custom pipelines via PipelineRun creation
- • Integrate agent-generated build artifacts into Kubernetes-native CD workflows using Tekton Chains for supply chain security (SLSA attestation)
- • Build event-driven CI/CD automation using Tekton Triggers — GitHub webhooks, cron schedules, and custom events trigger PipelineRuns automatically
Not For
- • Non-Kubernetes environments — Tekton requires a Kubernetes cluster; use GitHub Actions, GitLab CI, or CircleCI for non-Kubernetes CI/CD
- • Teams without Kubernetes expertise — Tekton's CRD model requires Kubernetes operational knowledge; managed CI/CD platforms have much lower operational overhead
- • Simple single-step CI needs — Tekton's power is in composable multi-step pipelines; simpler CI needs don't justify the Kubernetes overhead
Interface
Authentication
Tekton uses Kubernetes RBAC for authorization. ServiceAccount tokens or kubeconfig credentials authenticate API calls. Tekton Triggers adds CORS/HMAC validation for incoming webhooks. RBAC controls who can create/view/delete PipelineRuns.
Pricing
Apache 2.0 open source. CNCF graduated project. Primary cost is Kubernetes cluster for running Tekton components and pipeline execution.
Agent Metadata
Known Gotchas
- ⚠ Tekton API is the Kubernetes API — agents interact via kubectl or Kubernetes client libraries (kubernetes-client for Python/Go), not a traditional REST API; requires Kubernetes kubeconfig or ServiceAccount token
- ⚠ PipelineRun names must be unique — agents should use generateName prefix rather than fixed names to avoid naming conflicts; Kubernetes rejects duplicate resource names
- ⚠ Task step containers run sequentially by default within a Task — parallel steps within a Task require StepAction with 'sidecar' pattern; true parallelism requires separate Tasks in a Pipeline
- ⚠ Workspace sharing between Tasks requires PersistentVolumeClaims (PVCs) — agent pipelines sharing data between steps must provision PVCs, adding K8s storage management complexity
- ⚠ Tekton Triggers webhook parsing is YAML-configured — complex event filtering logic requires JSONPath/CEL expressions in TriggerBinding/TriggerTemplate CRDs; testing trigger logic is non-trivial
- ⚠ Pod scheduling constraints apply to Task execution — agents creating PipelineRuns on resource-constrained clusters may see pending Tasks waiting for available nodes
- ⚠ Log access requires Kubernetes pod log API — agents monitoring pipeline output must use kubectl logs or Kubernetes client pod log streaming, not a Tekton-specific logging API
Alternatives
Full Evaluation Report
Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for Tekton.
Scores are editorial opinions as of 2026-03-06.