Dagger Advanced CI/CD Pipeline Engineering

Master the art of building portable, reproducible CI/CD pipelines with Dagger. Learn to create powerful automation workflows that run anywhere - from your laptop to production.

No Prerequisites Required

Jump right in! All you need is a web browser. We provide everything else.

Just a Browser

No software installation needed

Lab Environment

Fully configured and ready to use

What You'll Learn

Dagger revolutionizes CI/CD by providing a programmable CI/CD engine that runs pipelines as code. In this comprehensive training, you'll learn to build, test, and deploy applications using Dagger's powerful, multi-language SDK, creating pipelines that are portable, fast, and maintainable.

  • Build production-ready CI/CD pipelines using Dagger
  • Create portable pipelines that run consistently across environments
  • Integrate Dagger with popular CI platforms (GitHub Actions, GitLab CI, Jenkins)
  • Design reusable pipeline modules and share them across teams
  • Implement security best practices in CI/CD workflows
1

Introduction to Dagger

Understanding the fundamentals of Dagger and its role in modern CI/CD

What is Dagger and why it matters
Dagger vs traditional CI/CD tools
Installation and setup
Your first Dagger pipeline
Understanding the Dagger architecture
Dagger CLI basics
2

Dagger SDK Deep Dive

Mastering the Dagger SDK for building powerful pipelines

Working with containers and images
File system operations
Environment variables and secrets
Service dependencies
Pipeline composition patterns
Error handling and debugging
3

Building Real-World Pipelines

Creating production-ready pipelines for different application types

Go application pipeline
Node.js application pipeline
Docker multi-stage builds
Testing strategies
Artifact management
Pipeline optimization techniques
4

Advanced Pipeline Patterns

Implementing complex workflow patterns and optimizations

Parallel execution and fan-out/fan-in
Conditional pipeline execution
Matrix builds and dynamic pipelines
Pipeline caching strategies
Resource optimization
Pipeline as code best practices
5

Integration with CI Platforms

Integrating Dagger pipelines with existing CI/CD platforms

GitHub Actions integration
GitLab CI integration
Jenkins integration
Azure DevOps integration
Migration strategies
Hybrid CI/CD approaches
6

Security and Compliance

Implementing security best practices in Dagger pipelines

Secrets management
Image scanning and vulnerability assessment
Supply chain security
Compliance considerations
Access control patterns
Audit and logging
7

Monitoring and Observability

Implementing monitoring and debugging strategies

Pipeline observability
Logging and debugging
Performance monitoring
Alerting strategies
Troubleshooting common issues
Pipeline analytics
8

Scaling and Team Collaboration

Scaling Dagger across teams and organizations

Module development and sharing
Pipeline testing strategies
Team collaboration patterns
Governance and standards
Documentation best practices
Community and ecosystem