#Introduction

#What is Tekton Pipeline?

Tekton Pipeline is a core component of Tekton that provides Kubernetes-native CI/CD solutions. It allows users to define and run automated workflows as a series of steps, tasks, and pipelines, all running as containers on a Kubernetes cluster.

#Core Features

1. Declarative Pipeline Definition

   • Define pipelines using Kubernetes Custom Resources
   • Compose complex workflows from reusable tasks
   • Support for conditional execution and parallel processing

2. Resource Management

   • Efficient handling of inputs and outputs
   • Support for workspaces to share data between tasks
   • Parameter passing between pipeline components

3. Extensibility and Flexibility

   • Custom task definitions
   • Integration with various tools and platforms
   • Support for matrix-based execution

4. Kubernetes Native

   • Runs entirely on Kubernetes
   • Leverages Kubernetes security and scaling capabilities
   • Follows Kubernetes resource management patterns

#How It Works

Tekton Pipeline operates with the following core components:

1. Task

   • Defines a series of steps to be executed sequentially
   • Runs in isolated containers within a Kubernetes pod
   • Can define inputs, outputs, and resource requirements

2. TaskRun

   • Instantiates and executes a Task
   • Provides runtime parameters and resources
   • Tracks execution status and results

3. Pipeline

   • Defines an ordered series of Tasks
   • Specifies execution order and dependencies
   • Manages data flow between Tasks

4. PipelineRun

   • Instantiates and executes a Pipeline
   • Provides runtime parameters and resources
   • Tracks overall pipeline execution status

5. Workspaces

   • Provides shared storage between Tasks
   • Supports various storage backends (PVC, ConfigMap, etc.)
   • Enables data persistence across Task executions

#Use Cases

Tekton Pipeline is suitable for the following scenarios:

1. Continuous Integration/Continuous Deployment (CI/CD)

   • Automated build and test processes
   • Deployment automation
   • Release management

2. Infrastructure as Code

   • Automated infrastructure provisioning
   • Configuration management
   • Environment setup and teardown

3. Application Lifecycle Management

   • Automated testing
   • Security scanning
   • Performance testing

#Key Advantages

1. Reusability

   • Modular task definitions
   • Shareable pipeline components
   • Standardized workflows

2. Portability

   • Kubernetes-native design
   • Container-based execution
   • Platform-agnostic workflows

3. Scalability

   • Leverages Kubernetes scaling
   • Parallel task execution
   • Resource-efficient execution

4. Observability

   • Detailed execution logs
   • Status tracking
   • Integration with monitoring tools

#Next Steps

• Quick Start
• Tasks
• TaskRuns
• Workspaces
• Pipelines
• PipelineRuns
• Resolvers

#Reference Resources

• Official Documentation
• GitHub Repository
• Example Collection