Platform Engineering

The Problem

Platform engineering teams need to provide developers with self-service CI/CD that enforces organizational standards — security scanning, compliance checks, approved base images — without requiring every team to build pipelines from scratch.

Why Tekton

Tekton’s modular architecture is designed to be embedded. Platform teams build reusable Tasks in the Hub/Catalog, compose them into golden-path Pipelines, and expose them through Triggers or Pipelines-as-Code. Developers get a paved road; platform teams get control.

Key Components

Component	Role
Pipelines	Foundation — the programmable API that platform teams build on
Hub / Catalog	Reuse — curate and share approved Tasks across the organization
Triggers	Self-service — developers trigger pipelines via webhooks without cluster access
Pipelines-as-Code	Developer experience — teams define pipelines in their repos
Operator	Consistency — deploy the same Tekton version and config across all clusters
Dashboard	Visibility — give developers a UI to monitor their pipeline runs
Chains	Guardrails — enforce signing and provenance without developer involvement

Platform Architecture

┌─────────────────────────────────────────────────┐
│              Internal Developer Portal          │
│         (Backstage, Port, custom UI)            │
└──────────────────┬──────────────────────────────┘
                   │ triggers pipelines
┌──────────────────▼──────────────────────────────┐
│  Tekton Platform Layer                          │
│  ├── Golden-path Pipelines (from Catalog)       │
│  ├── Shared Tasks (build, scan, deploy, notify) │
│  ├── Chains (automatic security)                │
│  └── Results (metrics & audit)                  │
└──────────────────┬──────────────────────────────┘
                   │
┌──────────────────▼──────────────────────────────┐
│  Team Namespaces                                │
│  ├── Team A: Java microservices pipeline        │
│  ├── Team B: Python ML training pipeline        │
│  └── Team C: Frontend build + CDN deploy        │
└─────────────────────────────────────────────────┘

Building Golden Paths

A golden-path pipeline composes curated Tasks:

Approved base images — a shared Task pulls only from your internal registry
Security scanning — Trivy, Grype, or Snyk Tasks from the Catalog
Compliance checks — OPA/Gatekeeper policies validated in-pipeline
Artifact signing — Chains handles this at the platform level
Deployment — Teams choose their target (Kubernetes, serverless, VM)

Platform teams publish these as ClusterTasks or in an internal Catalog. Developers compose them or use them as-is.

Developer Self-Service

Capability	How
Start a pipeline	Push to Git → Triggers/PAC creates PipelineRun
Monitor runs	Dashboard UI or `tkn` CLI
Debug failures	`tkn pipelinerun logs` or Dashboard log viewer
Customize	Override parameters in `.tekton/` config
Discover tasks	Browse internal Hub/Catalog

Getting Started

Install Tekton with Operator for consistent cluster configuration
Curate a set of approved Tasks in your internal Catalog
Build golden-path Pipelines that compose these Tasks
Set up Pipelines-as-Code so developers self-serve
Enable Chains and Dashboard for security and visibility
Integrate with your developer portal (Backstage, etc.)

Tekton’s API-first design means it embeds into portals and platforms. It’s the CI/CD engine — your platform is the UX layer on top.

See all Tekton components and how they fit together on the Components page.