# Tekton

## What is Tekton?

Tekton is a powerful, cloud-native, open-source framework for creating CI/CD systems. As a Kubernetes-native solution, Tekton enables you to build, test, and deploy across cloud providers and on-premises systems by abstracting away the underlying details. Born as an open-source project under the umbrella of the Continuous Delivery Foundation (CDF), Tekton has evolved into one of the most robust and flexible CI/CD platforms available in 2025.

Tekton leverages Kubernetes Custom Resource Definitions (CRDs) to define CI/CD pipeline components as code, providing a declarative approach to DevOps automation. It brings enterprise-grade features like security, compliance, observability, and multi-cloud portability to your CI/CD workflows, making it the preferred choice for organizations adopting cloud-native methodologies.

### Why Choose Tekton in 2025?

* **Cloud-Native Architecture**: Built from the ground up for Kubernetes environments
* **Vendor Neutral**: Works across all major cloud providers (AWS, Azure, GCP) and on-premises
* **Supply Chain Security**: Built-in support for SLSA compliance and software supply chain security
* **GitOps Ready**: Seamless integration with GitOps workflows and ArgoCD
* **Enterprise Grade**: Battle-tested in production by organizations like Google, IBM, Red Hat, and VMware

## Key Features and Concepts (2025)

### Core Components

**1. Tasks**\
The fundamental building blocks of a Tekton pipeline are tasks. Each task represents a specific unit of work, such as building code, running tests, or deploying an application. Tasks can be combined and reused across pipelines, promoting modularity and code sharing.

**2. Pipelines**\
Pipelines provide a way to orchestrate tasks in a specific order to create an end-to-end CI/CD workflow. With Tekton, you can define complex pipelines that include multiple stages, parallel execution, and conditional branching.

**3. PipelineRuns and TaskRuns**\
These are the runtime instances of Pipelines and Tasks. They represent the actual execution of your defined workflows with specific parameters and workspaces.

**4. Workspaces**\
Workspaces allow you to share files between tasks within a pipeline. They provide a mechanism for passing data and artifacts between different stages of the CI/CD workflow. Workspaces ensure isolation and reproducibility, making it easier to manage complex pipelines.

**5. Parameters and Results**\
Parameters enable dynamic configuration of tasks and pipelines at runtime, while Results allow tasks to output data that can be consumed by subsequent tasks.

### New 2025 Features

**Supply Chain Security (SLSA Compliance)**

* Built-in support for generating SLSA provenance
* Signed task and pipeline execution attestations
* Integration with Sigstore for keyless signing

**Enhanced Security Model**

* Pod Security Standards enforcement
* Service mesh integration (Istio, Linkerd)
* RBAC templates for common use cases

**Performance Improvements**

* Faster pipeline startup times (50% improvement over 2024)
* Optimized resource scheduling
* Better memory management for large pipelines

**GitOps Integration**

* Native ArgoCD integration
* Automated pipeline synchronization
* Git-based pipeline definitions with auto-discovery

![Tekton Architecture 2025](https://miro.medium.com/v2/resize:fit:700/1*uhaGRbUhmAbqByolqTrqZQ.jpeg)

*A task can consist of multiple steps, and pipeline may consist of multiple tasks. The tasks may run in parallel or in sequence*

## Real-World Examples (2025)

### Example 1: AWS EKS CI/CD Pipeline with SLSA Compliance

This example demonstrates a complete CI/CD pipeline for deploying to AWS EKS with supply chain security features.

```yaml
# aws-pipeline.yaml
apiVersion: tekton.dev/v1beta1
kind: Pipeline
metadata:
  name: aws-eks-pipeline
  annotations:
    tekton.dev/description: "Complete CI/CD pipeline for AWS EKS with SLSA compliance"
spec:
  params:
    - name: git-url
      description: Git repository URL
      type: string
    - name: git-revision
      description: Git revision
      type: string
      default: main
    - name: image-tag
      description: Image tag to build
      type: string
    - name: aws-region
      description: AWS region
      type: string
      default: us-west-2
    - name: eks-cluster-name
      description: EKS cluster name
      type: string
  
  workspaces:
    - name: shared-data
    - name: aws-credentials
    - name: signing-secrets
  
  tasks:
    - name: git-clone
      taskRef:
        name: git-clone
        kind: ClusterTask
      params:
        - name: url
          value: $(params.git-url)
        - name: revision
          value: $(params.git-revision)
      workspaces:
        - name: output
          workspace: shared-data
    
    - name: security-scan
      taskRef:
        name: trivy-scanner
      runAfter:
        - git-clone
      params:
        - name: ARGS
          value: ["fs", "--security-checks", "vuln,secret,config"]
      workspaces:
        - name: manifest-dir
          workspace: shared-data
    
    - name: build-and-push
      taskRef:
        name: buildah
        kind: ClusterTask
      runAfter:
        - security-scan
      params:
        - name: IMAGE
          value: "$(params.image-tag)"
        - name: DOCKERFILE
          value: "./Dockerfile"
      workspaces:
        - name: source
          workspace: shared-data
    
    - name: sign-image
      taskRef:
        name: cosign-sign
      runAfter:
        - build-and-push
      params:
        - name: image
          value: "$(params.image-tag)"
      workspaces:
        - name: source
          workspace: shared-data
        - name: cosign-keys
          workspace: signing-secrets
    
    - name: generate-slsa-provenance
      taskRef:
        name: slsa-provenance
      runAfter:
        - sign-image
      params:
        - name: image
          value: "$(params.image-tag)"
        - name: git-url
          value: "$(params.git-url)"
        - name: git-revision
          value: "$(params.git-revision)"
      workspaces:
        - name: source
          workspace: shared-data
    
    - name: deploy-to-eks
      taskRef:
        name: aws-eks-deploy
      runAfter:
        - generate-slsa-provenance
      params:
        - name: cluster-name
          value: "$(params.eks-cluster-name)"
        - name: region
          value: "$(params.aws-region)"
        - name: image
          value: "$(params.image-tag)"
      workspaces:
        - name: source
          workspace: shared-data
        - name: aws-credentials
          workspace: aws-credentials
```

### Example 2: Azure AKS Multi-Environment Pipeline

This pipeline demonstrates deploying to multiple Azure environments with approval gates.

```yaml
# azure-pipeline.yaml
apiVersion: tekton.dev/v1beta1
kind: Pipeline
metadata:
  name: azure-aks-multienv
  annotations:
    tekton.dev/description: "Multi-environment deployment to Azure AKS"
spec:
  params:
    - name: git-url
      type: string
    - name: git-revision
      type: string
      default: main
    - name: app-name
      type: string
    - name: registry-url
      type: string
    - name: dev-cluster
      type: string
    - name: prod-cluster
      type: string
    - name: resource-group
      type: string
  
  workspaces:
    - name: shared-workspace
    - name: azure-credentials
  
  tasks:
    - name: fetch-source
      taskRef:
        name: git-clone
        kind: ClusterTask
      params:
        - name: url
          value: $(params.git-url)
        - name: revision
          value: $(params.git-revision)
      workspaces:
        - name: output
          workspace: shared-workspace
    
    - name: run-tests
      taskRef:
        name: golang-test
        kind: ClusterTask
      runAfter:
        - fetch-source
      params:
        - name: package
          value: "./..."
        - name: flags
          value: "-v -race -coverprofile=coverage.out"
      workspaces:
        - name: source
          workspace: shared-workspace
    
    - name: build-image
      taskRef:
        name: kaniko
        kind: ClusterTask
      runAfter:
        - run-tests
      params:
        - name: IMAGE
          value: "$(params.registry-url)/$(params.app-name):$(params.git-revision)"
        - name: DOCKERFILE
          value: "./Dockerfile"
      workspaces:
        - name: source
          workspace: shared-workspace
        - name: dockerconfig
          workspace: azure-credentials
    
    - name: deploy-to-dev
      taskRef:
        name: azure-aks-deploy
      runAfter:
        - build-image
      params:
        - name: cluster-name
          value: "$(params.dev-cluster)"
        - name: resource-group
          value: "$(params.resource-group)"
        - name: image
          value: "$(params.registry-url)/$(params.app-name):$(params.git-revision)"
        - name: environment
          value: "development"
      workspaces:
        - name: source
          workspace: shared-workspace
        - name: azure-credentials
          workspace: azure-credentials
    
    - name: integration-tests
      taskRef:
        name: integration-test
      runAfter:
        - deploy-to-dev
      params:
        - name: test-endpoint
          value: "https://$(params.app-name)-dev.azurewebsites.net"
      workspaces:
        - name: source
          workspace: shared-workspace
    
    - name: manual-approval
      taskRef:
        name: manual-approval-task
      runAfter:
        - integration-tests
      params:
        - name: message
          value: "Approve deployment to production?"
        - name: timeout
          value: "3600" # 1 hour timeout
    
    - name: deploy-to-prod
      taskRef:
        name: azure-aks-deploy
      runAfter:
        - manual-approval
      params:
        - name: cluster-name
          value: "$(params.prod-cluster)"
        - name: resource-group
          value: "$(params.resource-group)"
        - name: image
          value: "$(params.registry-url)/$(params.app-name):$(params.git-revision)"
        - name: environment
          value: "production"
      workspaces:
        - name: source
          workspace: shared-workspace
        - name: azure-credentials
          workspace: azure-credentials
```

### Example 3: GCP Cloud Run Serverless Pipeline

This example shows a serverless deployment pipeline for Google Cloud Run with automated scaling.

```yaml
# gcp-pipeline.yaml
apiVersion: tekton.dev/v1beta1
kind: Pipeline
metadata:
  name: gcp-cloudrun-pipeline
  annotations:
    tekton.dev/description: "Serverless deployment to Google Cloud Run"
spec:
  params:
    - name: git-url
      type: string
    - name: git-revision
      type: string
      default: main
    - name: service-name
      type: string
    - name: project-id
      type: string
    - name: region
      type: string
      default: us-central1
    - name: max-instances
      type: string
      default: "100"
  
  workspaces:
    - name: source-workspace
    - name: gcp-credentials
  
  tasks:
    - name: clone-repo
      taskRef:
        name: git-clone
        kind: ClusterTask
      params:
        - name: url
          value: $(params.git-url)
        - name: revision
          value: $(params.git-revision)
      workspaces:
        - name: output
          workspace: source-workspace
    
    - name: lint-code
      taskRef:
        name: eslint
      runAfter:
        - clone-repo
      params:
        - name: args
          value: ["src/", "--ext", ".js,.ts"]
      workspaces:
        - name: source
          workspace: source-workspace
    
    - name: unit-tests
      taskRef:
        name: npm
        kind: ClusterTask
      runAfter:
        - lint-code
      params:
        - name: ARGS
          value: ["test"]
      workspaces:
        - name: source
          workspace: source-workspace
    
    - name: build-container
      taskRef:
        name: gcp-cloud-build
      runAfter:
        - unit-tests
      params:
        - name: project-id
          value: "$(params.project-id)"
        - name: image-name
          value: "gcr.io/$(params.project-id)/$(params.service-name):$(params.git-revision)"
        - name: dockerfile
          value: "Dockerfile"
      workspaces:
        - name: source
          workspace: source-workspace
        - name: credentials
          workspace: gcp-credentials
    
    - name: security-scan-image
      taskRef:
        name: gcp-container-analysis
      runAfter:
        - build-container
      params:
        - name: project-id
          value: "$(params.project-id)"
        - name: image-url
          value: "gcr.io/$(params.project-id)/$(params.service-name):$(params.git-revision)"
      workspaces:
        - name: credentials
          workspace: gcp-credentials
    
    - name: deploy-cloud-run
      taskRef:
        name: gcp-cloud-run-deploy
      runAfter:
        - security-scan-image
      params:
        - name: service-name
          value: "$(params.service-name)"
        - name: project-id
          value: "$(params.project-id)"
        - name: region
          value: "$(params.region)"
        - name: image
          value: "gcr.io/$(params.project-id)/$(params.service-name):$(params.git-revision)"
        - name: max-instances
          value: "$(params.max-instances)"
        - name: cpu-limit
          value: "1000m"
        - name: memory-limit
          value: "512Mi"
      workspaces:
        - name: source
          workspace: source-workspace
        - name: credentials
          workspace: gcp-credentials
    
    - name: smoke-tests
      taskRef:
        name: curl-test
      runAfter:
        - deploy-cloud-run
      params:
        - name: url
          value: "$(tasks.deploy-cloud-run.results.service-url)/health"
        - name: expected-status
          value: "200"

---
# Custom Task for GCP Cloud Run Deployment
apiVersion: tekton.dev/v1beta1
kind: Task
metadata:
  name: gcp-cloud-run-deploy
spec:
  params:
    - name: service-name
      type: string
    - name: project-id
      type: string
    - name: region
      type: string
    - name: image
      type: string
    - name: max-instances
      type: string
      default: "100"
    - name: cpu-limit
      type: string
      default: "1000m"
    - name: memory-limit
      type: string
      default: "512Mi"
  
  workspaces:
    - name: source
    - name: credentials
  
  results:
    - name: service-url
      description: The URL of the deployed Cloud Run service
  
  steps:
    - name: authenticate
      image: gcr.io/google.com/cloudsdktool/cloud-sdk:latest
      script: |
        #!/bin/bash
        gcloud auth activate-service-account --key-file=$(workspaces.credentials.path)/key.json
        gcloud config set project $(params.project-id)
    
    - name: deploy
      image: gcr.io/google.com/cloudsdktool/cloud-sdk:latest
      script: |
        #!/bin/bash
        set -e
        
        gcloud run deploy $(params.service-name) \
          --image=$(params.image) \
          --region=$(params.region) \
          --platform=managed \
          --allow-unauthenticated \
          --max-instances=$(params.max-instances) \
          --cpu=$(params.cpu-limit) \
          --memory=$(params.memory-limit) \
          --port=8080 \
          --set-env-vars="ENVIRONMENT=production" \
          --format="value(status.url)" > /tmp/service-url
        
        # Output the service URL
        echo -n "$(cat /tmp/service-url)" | tee $(results.service-url.path)
```

### Example 4: Multi-Cloud GitOps Pipeline

This advanced example demonstrates a GitOps pipeline that can deploy to multiple cloud providers.

```yaml
# multi-cloud-gitops.yaml
apiVersion: tekton.dev/v1beta1
kind: Pipeline
metadata:
  name: multi-cloud-gitops
  annotations:
    tekton.dev/description: "GitOps pipeline for multi-cloud deployment"
spec:
  params:
    - name: app-git-url
      type: string
    - name: config-git-url
      type: string
    - name: git-revision
      type: string
      default: main
    - name: target-clouds
      type: array
      description: "Array of target clouds: aws, azure, gcp"
    - name: registry-url
      type: string
  
  workspaces:
    - name: app-source
    - name: config-source
    - name: cloud-credentials
  
  tasks:
    - name: fetch-app-source
      taskRef:
        name: git-clone
        kind: ClusterTask
      params:
        - name: url
          value: $(params.app-git-url)
        - name: revision
          value: $(params.git-revision)
      workspaces:
        - name: output
          workspace: app-source
    
    - name: fetch-config-source
      taskRef:
        name: git-clone
        kind: ClusterTask
      params:
        - name: url
          value: $(params.config-git-url)
        - name: revision
          value: main
      workspaces:
        - name: output
          workspace: config-source
    
    - name: build-universal-image
      taskRef:
        name: buildah
        kind: ClusterTask
      runAfter:
        - fetch-app-source
      params:
        - name: IMAGE
          value: "$(params.registry-url)/multi-cloud-app:$(params.git-revision)"
        - name: DOCKERFILE
          value: "./Dockerfile"
      workspaces:
        - name: source
          workspace: app-source
    
    - name: update-manifests
      taskRef:
        name: yq-replace
      runAfter:
        - build-universal-image
        - fetch-config-source
      params:
        - name: files
          value: ["./aws/deployment.yaml", "./azure/deployment.yaml", "./gcp/deployment.yaml"]
        - name: expression
          value: ".spec.template.spec.containers[0].image"
        - name: value
          value: "$(params.registry-url)/multi-cloud-app:$(params.git-revision)"
      workspaces:
        - name: source
          workspace: config-source
    
    - name: deploy-to-clouds
      taskRef:
        name: multi-cloud-deploy
      runAfter:
        - update-manifests
      params:
        - name: target-clouds
          value: $(params.target-clouds)
      workspaces:
        - name: config-source
          workspace: config-source
        - name: credentials
          workspace: cloud-credentials
    
    - name: commit-changes
      taskRef:
        name: git-commit-push
      runAfter:
        - deploy-to-clouds
      params:
        - name: message
          value: "Update image to $(params.git-revision)"
        - name: git-url
          value: $(params.config-git-url)
      workspaces:
        - name: source
          workspace: config-source
```

### Pipeline Triggers and EventListeners (2025)

Modern webhook configuration for GitLab, GitHub, and Azure DevOps:

```yaml
# modern-triggers.yaml
apiVersion: triggers.tekton.dev/v1beta1
kind: EventListener
metadata:
  name: modern-webhook-listener
spec:
  serviceAccountName: tekton-triggers-sa
  triggers:
    - name: github-push
      interceptors:
        - ref:
            name: "github"
          params:
            - name: "secretRef"
              value:
                secretName: github-secret
                secretKey: token
            - name: "eventTypes"
              value: ["push", "pull_request"]
        - ref:
            name: "cel"
          params:
            - name: "filter"
              value: "body.ref.startsWith('refs/heads/main') || body.action == 'opened'"
      bindings:
        - ref: github-binding
      template:
        ref: aws-eks-pipeline-template
    
    - name: gitlab-webhook
      interceptors:
        - ref:
            name: "gitlab"
          params:
            - name: "secretRef"
              value:
                secretName: gitlab-secret
                secretKey: token
            - name: "eventTypes"
              value: ["Push Hook", "Merge Request Hook"]
      bindings:
        - ref: gitlab-binding
      template:
        ref: azure-aks-pipeline-template
---
apiVersion: triggers.tekton.dev/v1beta1
kind: TriggerBinding
metadata:
  name: github-binding
spec:
  params:
    - name: git-url
      value: $(body.repository.clone_url)
    - name: git-revision
      value: $(body.after)
    - name: repository-name
      value: $(body.repository.name)
---
apiVersion: triggers.tekton.dev/v1beta1
kind: TriggerTemplate
metadata:
  name: aws-eks-pipeline-template
spec:
  params:
    - name: git-url
    - name: git-revision
    - name: repository-name
  resourcetemplates:
    - apiVersion: tekton.dev/v1beta1
      kind: PipelineRun
      metadata:
        generateName: aws-pipeline-run-
        labels:
          tekton.dev/pipeline: aws-eks-pipeline
      spec:
        pipelineRef:
          name: aws-eks-pipeline
        params:
          - name: git-url
            value: $(tt.params.git-url)
          - name: git-revision
            value: $(tt.params.git-revision)
          - name: image-tag
            value: "your-registry.com/$(tt.params.repository-name):$(tt.params.git-revision)"
          - name: eks-cluster-name
            value: "production-cluster"
        workspaces:
          - name: shared-data
            volumeClaimTemplate:
              spec:
                accessModes:
                  - ReadWriteOnce
                resources:
                  requests:
                    storage: 5Gi
          - name: aws-credentials
            secret:
              secretName: aws-credentials
          - name: signing-secrets
            secret:
              secretName: cosign-keys
```

These examples showcase:

1. **SLSA Compliance**: Supply chain security with image signing and provenance generation
2. **Multi-Environment Deployments**: Proper staging with approval gates
3. **Serverless Deployments**: Cloud Run with auto-scaling configuration
4. **GitOps Integration**: Configuration management with automated updates
5. **Modern Webhooks**: Advanced event filtering and processing
6. **Security Scanning**: Container vulnerability assessments
7. **Multi-Cloud Support**: Unified pipelines across cloud providers

## Installation Guide (2025)

### Prerequisites

* Kubernetes cluster 1.28+ (recommended: 1.29 or later)
* kubectl configured to access your cluster
* Cluster-admin permissions
* At least 2GB of available memory and 2 CPU cores

### Installing Tekton Pipelines (v0.55.0+)

To install Tekton Pipelines on a Kubernetes cluster:

1. Install the latest stable release:

```bash
# Install Tekton Pipelines
kubectl apply --filename https://storage.googleapis.com/tekton-releases/pipeline/latest/release.yaml

# Verify installation
kubectl get pods --namespace tekton-pipelines
```

2. For specific versions or alternative installations:

```bash
# Install specific version (example: v0.55.0)
kubectl apply --filename https://storage.googleapis.com/tekton-releases/pipeline/previous/v0.55.0/release.yaml

# Install nightly build (for testing latest features)
kubectl apply --filename https://storage.googleapis.com/tekton-releases-nightly/pipeline/latest/release.yaml

# For environments without image digest support
kubectl apply --filename https://storage.googleapis.com/tekton-releases/pipeline/latest/release.notags.yaml
```

3. Monitor the installation:

```bash
kubectl get pods --namespace tekton-pipelines --watch
```

When all components show `1/1` under the `READY` column, the installation is complete.

### Installing Tekton Triggers (v0.26.0+)

1. Install Tekton Triggers for webhook and event-driven pipelines:

```bash
# Install Triggers
kubectl apply --filename https://storage.googleapis.com/tekton-releases/triggers/latest/release.yaml

# Install Interceptors
kubectl apply --filename https://storage.googleapis.com/tekton-releases/triggers/latest/interceptors.yaml

# Verify installation
kubectl get pods --namespace tekton-pipelines
```

### Installing Tekton Dashboard (v0.40.0+)

1. Install the web-based dashboard:

```bash
# Install Dashboard
kubectl apply --filename https://storage.googleapis.com/tekton-releases/dashboard/latest/release.yaml

# Access the dashboard (port-forward)
kubectl port-forward -n tekton-pipelines svc/tekton-dashboard 9097:9097
```

### Installing Tekton CLI (tkn) v0.35.0+

```bash
# Linux (x86_64)
curl -LO https://github.com/tektoncd/cli/releases/latest/download/tkn_Linux_x86_64.tar.gz
sudo tar xvzf tkn_Linux_x86_64.tar.gz -C /usr/local/bin/ tkn

# macOS (Intel)
brew install tektoncd-cli

# macOS (ARM64)
curl -LO https://github.com/tektoncd/cli/releases/latest/download/tkn_Darwin_arm64.tar.gz
sudo tar xvzf tkn_Darwin_arm64.tar.gz -C /usr/local/bin/ tkn

# Windows (PowerShell)
choco install tektoncd-cli

# Verify installation
tkn version
```

### Installation on Different Operating Systems

#### Linux Installation

```bash
# Prerequisites
sudo apt update
sudo apt install -y curl kubectl

# Install kubectl if not present
curl -LO "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl"
sudo install -o root -g root -m 0755 kubectl /usr/local/bin/kubectl

# Install Tekton CLI
curl -LO https://github.com/tektoncd/cli/releases/latest/download/tkn_Linux_x86_64.tar.gz
sudo tar xvzf tkn_Linux_x86_64.tar.gz -C /usr/local/bin/ tkn
```

#### WSL (Windows Subsystem for Linux) Installation

```bash
# Update WSL package list
sudo apt update

# Install dependencies
sudo apt install -y curl wget

# Install kubectl
curl -LO "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl"
sudo install -o root -g root -m 0755 kubectl /usr/local/bin/kubectl

# Install Tekton CLI
curl -LO https://github.com/tektoncd/cli/releases/latest/download/tkn_Linux_x86_64.tar.gz
sudo tar xvzf tkn_Linux_x86_64.tar.gz -C /usr/local/bin/ tkn

# Verify installations
kubectl version --client
tkn version
```

#### NixOS Installation

```nix
# Configuration.nix approach
{ config, pkgs, ... }:
{
  environment.systemPackages = with pkgs; [
    kubectl
    tektoncd-cli
    # Additional tools for Tekton development
    yq-go
    jq
    git
    docker
  ];
  
  # Enable Docker for building containers
  virtualisation.docker.enable = true;
  
  # Add user to docker group
  users.users.yourusername.extraGroups = [ "docker" ];
}

# Using nix-shell for development
nix-shell -p kubectl tektoncd-cli yq-go jq git docker

# Using Home Manager (home.nix)
{ config, pkgs, ... }:
{
  home.packages = with pkgs; [
    kubectl
    tektoncd-cli
    yq-go
    jq
  ];
  
  programs.git.enable = true;
}
```

### Best Practices for Tekton in 2025

1. **Security First**
   * Always use signed images and SLSA provenance
   * Implement proper RBAC and security contexts
   * Regularly scan for vulnerabilities
2. **Resource Management**
   * Use resource quotas and limits
   * Implement proper workspace management
   * Monitor pipeline performance
3. **GitOps Integration**
   * Store pipeline definitions in Git
   * Use automated synchronization
   * Implement proper branching strategies
4. **Observability**
   * Enable comprehensive logging
   * Use distributed tracing
   * Implement monitoring and alerting

### Getting Started with Your First Pipeline

```bash
# Create a new namespace
kubectl create namespace tekton-getting-started

# Create a simple task
cat <<EOF | kubectl apply -f -
apiVersion: tekton.dev/v1beta1
kind: Task
metadata:
  name: hello-world
  namespace: tekton-getting-started
spec:
  steps:
    - name: echo
      image: alpine
      script: |
        #!/bin/sh
        echo "Hello World from Tekton!"
        echo "Current date: \$(date)"
        echo "Environment: \$(env | sort)"
EOF

# Run the task
cat <<EOF | kubectl apply -f -
apiVersion: tekton.dev/v1beta1
kind: TaskRun
metadata:
  name: hello-world-run
  namespace: tekton-getting-started
spec:
  taskRef:
    name: hello-world
EOF

# Check the results
tkn taskrun logs hello-world-run -n tekton-getting-started
```

***

**DevOps Joke**: Why did the developer choose Tekton over other CI/CD tools? Because they wanted their pipelines to be as declarative as their love for Kubernetes - and just like their relationship status, everything had to be defined in YAML! 😄

*At least with Tekton, when your pipeline fails, you can blame it on the cluster and not your code... most of the time!*
