CI CD Release Engineering

Introduction: From Code to Customer

The Hierarchy: Stages, Jobs, and Steps

Artifact Management: Passing the Baton

Caching: Speeding Up the Process

Runners: The Engine Room

Introduction: When "npm run build" Isn't Enough

The Core Principle: Hermetic Builds

The Benefit of Hermeticity: Determinism

Monorepo Tooling: The Dependency Graph

Remote Caching: Don't Do the Same Work Twice

Remote Execution: Infinite Compute Power

Putting It All Together: The Build System Stack

Introduction: The End of the "Maintenance Window

Rolling Updates: The Slow and Steady Replacement

Blue/Green Deployment: The Instant Switch

Canary Deployment: Testing the Waters

Shadow Deployment: The Stealth Mode

Choosing the Right Strategy: A Decision Framework

Deployment Strategies in the Real World: Tooling and Automation

Introduction: The "Source of Truth" Problem

The Evolution: Push-Based vs. Pull-Based Deployments

GitOps Superpowers: Self-Healing and Drift Detection

The Agents: ArgoCD and Flux

Controlling Deployment Order: Sync Waves

Organizing Your Git Repository: Directory Structure

The Secret Problem in GitOps

Solving Secrets: Sealed Secrets and SOPS

Introduction: Deploy != Release

Feature Flags: The Fundamental Switch

Canary Deployments: Testing with Real Traffic

Automated Canary Analysis (ACA): Removing the Human Bottleneck

Putting It Together: The Progressive Delivery Pipeline

Introduction: The "Poisoned Well" Problem

SBOMs: The Ingredients Label

Vulnerability Scanning with Grype

Image Signing: The Digital Wax Seal

Sigstore and Keyless Signing: A Revolution

Provenance and SLSA: The Roadmap to Trust

Introduction: The "Green Build" Lie

What is a Merge Queue?

Optimistic Merging: Speeding Up the Line

Batching Strategies (Bors-NG / Tide)

Linear History vs. Merge Commits

Merge Queue Implementations in Practice

Introduction: The Ghost in the Machine

Root Causes of Flakiness: Know Your Enemy

Handling Flake: Retries vs. Quarantine

Test Impact Analysis (TIA): The Smart Scalpel

Probabilistic Failure Analysis: Is It Me or the Test?

Introduction: Not Just for Docker Images

OCI Artifacts: The Generic Envelope

Universal Package Managers: The Proxy Cache

Retention Policies: Hoarding vs. Cleaning

Artifact Signing and Provenance

Introduction: The CI Pipeline is a Weapon

The `curl | bash` Anti-Pattern

Runner Isolation: Handling Untrusted Builds

OIDC Federation: Death to Long-Lived Keys

Secrets Management: Beyond Environment Variables

Introduction: The Distributed Nightmare

The Database Problem: Migrations in CI/CD

The "Expand-Contract" Pattern (Parallel Change)

Decoupling Migrations: Jobs vs. InitContainers

Introduction: The "Push and Pray" Cycle

The Core Metric: Time to Feedback

Local Emulation: Bringing CI to the Laptop

Tool Spotlight: `act` (for GitHub Actions)

Introduction: Pipelines are Distributed Systems

OpenTelemetry for CI/CD

Key Metrics: Queue Time vs. Execution Time

Building a CI Observability Dashboard

Introduction: The Staging Bottleneck

Lifecycle Management: The Automation Loop

Data Seeding: The Hardest Part

Cost Control: Stopping the Bleeding

Introduction: Automation Where Your Code Lives

Workflow Syntax Anatomy

Actions vs. Reusable Workflows

Matrix Builds: Testing the Multiverse

Secrets and OIDC: Credential Management Done Right

Self-Hosted Runner Security

Workflow Security Hardening

Introduction: Why Databases are Different

The Expand-Contract Pattern: Safe Schema Changes

The Migration-Based Approach (Imperative)

The Schema-As-Code Approach (Declarative)

Rollback Strategies: The Myth of "Undo

Introduction: Why "Dockerize Everything" Fails Here

The Specific Hell of Mac Runners

Code Signing: The Identity Crisis

Fastlane: The Automation Savior

Device Farms: Real Hardware Testing

Introduction: The "Push and Pray" Loop

Architecture: The Engine and the SDKs

CI as Code: Programmable Pipelines

Caching: Speed by Default

Integrating Dagger into Existing CI Systems

Introduction: CI/CD for Kubernetes, by Kubernetes

The Atomic Units: Task and TaskRun

Orchestration: Pipeline and PipelineRun

Workspaces: Sharing Data Between Pods

Triggers: Automating Pipeline Execution

Introduction: The Staging Bottleneck

The Architecture: Terraform vs. Helm

Dynamic Routing: The Magic URL

Lifecycle Management: The Cleanup

Posting the Preview URL Back to the PR