Course
Overview
free
Course Setup and the Incremental Ladder
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Course Setup and the Incremental Ladder
Why "Commits to Pipelines"
How to Use This Course
The Incremental Ladder (Step 0 -> Step 7)
The Course Lenses
Diagram Legend and Notation Types
Version Control as the Source of Truth
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Version Control as the Source of Truth
Why VCS Anchors CI/CD
Changesets, Diffs, and Commit History
Branches, Tags, and Release Lines
Branching Models and Workflows
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Branching Models and Workflows
Trunk-Based vs Git-Flow-Like Models
Feature, Release, and Hotfix Branches
Trade-Offs: Speed, Stability, and Workflow Complexity
Repository Structures: Mono vs Poly
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Repository Structures: Mono vs Poly
Monorepos, Polyrepos, and Hybrids
Impact on Builds, Pipelines, and Tooling
Code Ownership and Modularization
Commit Discipline and Code Review
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Commit Discipline and Code Review
Atomic Changes and Commit Hygiene
Review Workflows and Approval Patterns
Messages, Issue Links, and Traceability
Diagramming Developer Workflows
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Diagramming Developer Workflows
Commit-to-Merge Flows
Branching Diagrams and Release Trains
Mapping Repos to Teams and Services
Build Systems and Toolchains
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Build Systems and Toolchains
Build Tools and Orchestration
Incremental vs Full Builds
Reproducibility and Determinism
Dependency Management
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Dependency Management
Manifests and Lockfiles
Version Ranges vs Pinning
Caches, Registries, and Security
Artifact Types and Packaging
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Artifact Types and Packaging
Artifact Families
Versioning and Immutability
Deployable Units
Artifact Repositories and Promotion
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Artifact Repositories and Promotion
Repositories for Packages, Images, and Binaries
Retention and Immutability Semantics
Promotion Flows
Build & Artifact Observability
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Build & Artifact Observability
Build Health Metrics
Dependency Graph Visibility and BOMs
Hotspots and Bottlenecks
CI Fundamentals
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CI Fundamentals
CI vs Nightly Builds
Builds and Tests on Every Change
Failing Fast as a System Property
Pipeline-as-Code
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Pipeline-as-Code
Declarative vs Imperative Pipelines
Shared Libraries and Templates
Versioning and Testing Pipeline Configurations
Triggering and Fan-Out
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Triggering and Fan-Out
Trigger Types
Fan-Out for Multi-Service Change
Storming and Redundancy Control
Pipeline Stages and DAGs
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Pipeline Stages and DAGs
Stage Design
DAG Modeling
Resource Management
CI Infrastructure
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CI Infrastructure
Runners, Agents, and Executors
Scaling Builds
Multi-Tenant CI Clusters
CI Health, Limits, and Anti-Patterns
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CI Health, Limits, and Anti-Patterns
Broken Main and Red Builds
Long Pipelines and Developer Frustration
Keeping CI Green
Test Taxonomy and the Test Pyramid
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Test Taxonomy and the Test Pyramid
Layers of Tests
Pyramid vs Ice Cream Cone
Choosing a Balanced Portfolio
Designing Testable Systems
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Designing Testable Systems
Seams, Contracts, and Dependency Injection
Test Doubles
Contract Tests for APIs and Services
Data, Environments, and Isolation
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Data, Environments, and Isolation
Test Data Management
Ephemeral vs Shared Environments
Cleanup and Containment
Test Execution in Pipelines
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Test Execution in Pipelines
Parallelization and Sharding
Change-Impact Selection
Smoke vs Regression vs Full Sweep
Flaky Tests and Reliability
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Flaky Tests and Reliability
Detecting and Triage Workflows
Quarantine and Thresholds
Culture and Tooling
Quality Gates and Metrics
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Quality Gates and Metrics
Coverage with Caveats
Quality Gates
Balancing Speed and Quality
From CI to CD
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From CI to CD
Continuous Delivery vs Continuous Deployment
Promotion-Based Pipelines
Manual Gates vs Full Automation
Environment Topologies and Promotion
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Environment Topologies and Promotion
Environment Lanes: dev, test, staging, prod and what "prod-like" is actually for
Promote vs Rebuild: artifact integrity versus environment-specific compilation and the risks of divergence
Drift and Drift Detection: preventing the environment boundary from silently changing the system
Deployment Mechanisms
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Deployment Mechanisms
Push vs Pull Deployments: control boundaries and how failure propagates
Deployment Primitives: conceptual orchestrators, rollout units, and state reconciliation
Configuration and Secret Injection: making runtime variability explicit, auditable, and reversible
Release Strategies
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Release Strategies
Rolling, Blue-Green, Canary: choosing a rollout topology that matches your failure tolerance
Feature Flags and Dark Launches: decoupling deploy from release to reduce blast radius
Rollback and Roll-Forward: designing recovery paths that work under stress
Progressive Delivery and Observability
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Progressive Delivery and Observability
Guardrails and SLO-Based Safety: using live signals as release constraints
Automated rollback triggers: thresholds, noise, and avoiding control-plane flapping
Release health views: connecting deploy events to user impact with minimal ambiguity
Multi-Service and Multi-Region Releases
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Multi-Service and Multi-Region Releases
Coordinated Microservice Releases: dependency ordering and minimizing cross-service deadlocks
Compatibility and Contracts: version skew, backward compatibility, and safe partial rollout
Region-Wise Rollouts: global coordination, regional blast radius, and operational pacing
What Is an Internal Developer Platform (IDP)?
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What Is an Internal Developer Platform (IDP)?
Platform as Product for Developers: making the "easy path" the safe and supported path
Platform Layers: CI/CD, runtime, observability, catalogs and how they compose into one experience
Reducing Cognitive Load: avoiding "YAML fatigue" by moving complexity behind stable interfaces
Golden Paths and Paved Roads
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Golden Paths and Paved Roads
Opinionated Defaults: why standardization is a reliability strategy, not only a productivity one
One Obvious Way: defining a canonical service lifecycle from build to deploy
Flexibility Without Fragmentation: supporting exceptions without creating a second platform
Scaffolding and Service Creation
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Scaffolding and Service Creation
Service Templates: repo + pipeline + infra skeleton as a repeatable boundary package
Bootstrapped Security and Observability: shipping "secure and observable by default" as platform policy
Onboarding and First-10-Minutes Experience: designing time-to-first-success as a platform KPI
Developer Portals and Catalogs
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Developer Portals and Catalogs
Ownership and Metadata: service catalogs as the map that makes accountability possible
UI for Pipelines, Deploys, Incidents, Docs: making platform state visible and navigable
Integrating Runbooks and ADRs: connecting automation to human decision-making during incidents
Platform Extensibility
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Platform Extensibility
Plugin Models: extension without forking the platform's core
Integrating Third-Party Tools: scanners, APM, and ecosystem components as controlled dependencies
Guardrails on Customization: preventing local optimization from breaking platform invariants
Platform Metrics and Developer Experience
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Platform Metrics and Developer Experience
Delivery Performance Metrics: lead time, deploy frequency, change fail rate, MTTR as system outcomes
DX Metrics: wait time, friction, satisfaction and how they predict platform adoption
Metrics into Roadmaps: using evidence to choose investments and retire low-value complexity
Governance and Policy in Pipelines
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Governance and Policy in Pipelines
Policy-as-Code Boundaries: expressing required stages and constraints in machine-enforceable form
Approvals and Separation of Duties: designing human checks that resist collusion and reduce mistake risk
Least Privilege in CI/CD: minimizing what pipelines can do and constraining blast radius
Secrets, Credentials, and Supply Chain Security
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Secrets, Credentials, and Supply Chain Security
Secret Storage, Rotation, Injection: treating secret movement as a privileged data plane
Provenance and Signing: code signing, artifact signing, and why "who built this" matters
Scanning Code, Dependencies, Images: catching supply-chain risk where it enters the pipeline
Compliance Requirements in CI/CD
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Compliance Requirements in CI/CD
Traceability from Commit to Deploy: constructing an evidence chain that survives audits and incidents
Change Management and Audit Trails: approvals, justifications, and immutable records as system features
Evidence Generation: building automated compliance outputs without turning governance into manual toil
Guardrails vs Gates
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Guardrails vs Gates
Preventative vs Detective Controls: choosing where to stop bad change versus where to detect and respond
Soft vs Hard Enforcement: rollout strategies that increase safety without creating a shadow process
Autonomy vs Control: maintaining developer flow while meeting regulatory and security obligations
Incident & Vulnerability Response via Pipelines
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Incident & Vulnerability Response via Pipelines
Emergency Change and Break Glass: designing exceptional paths that remain auditable and safe
Coordinated Patching via CI/CD: scaling response across fleets without losing correctness
Backports and Multiple Release Lines: keeping long-lived versions secure without endless divergence
Platform Architecture: Control Planes and Data Planes
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Platform Architecture: Control Planes and Data Planes
Control Plane Concepts: configuration, policy, and state as the platform's governing surface
Data Plane Workloads: builds, tests, deployments and the isolation requirements they impose
One Engine or Many: composing pipeline engines and clusters without losing a unified experience
Multi-Tenancy and Scale in CI/CD
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Multi-Tenancy and Scale in CI/CD
Tenancy Models: team, project, org boundaries and what can fail together
Fair Scheduling and Noisy Neighbor Control: quotas, prioritization, and protecting critical paths
Rate Limits and Resource Governance: preventing platform overload from becoming company-wide outage
Platform Teams and Operating Models
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Platform Teams and Operating Models
Platform-as-a-Product: roadmaps, support, and lifecycle management for internal users
Roles and Interfaces: platform PMs, SREs, DX engineers, advocates and how responsibility is partitioned
Feedback Loops to Roadmap: turning developer pain into prioritized platform work
Integrating CI/CD with the Rest of the Ecosystem
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Integrating CI/CD with the Rest of the Ecosystem
Observability, Incidents, On-Call: connecting delivery events to operational reality
Tickets, Docs, Flags, Runtime Config: integrating adjacent control systems without duplication
Data and AI Workflows in CI/CD Contexts: extending pipeline thinking beyond application code (conceptual)
Migration and Modernization
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Migration and Modernization
From Scripts to Standard Pipelines: defining target patterns and migrating without halting delivery
Incremental Migration of Legacy Apps and Repos: sequencing changes to preserve trust
Coexistence Strategies: running old and new platforms in parallel without fragmenting governance
Case-Style Reference Architectures
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Case-Style Reference Architectures
Small Org Reference: simple pipelines and lightweight platform boundaries
Mid-Size Reference: multi-team IDP with standardized golden paths and shared services
Large Enterprise Reference: multi-region CI/CD with strong governance and regulated workload support
Evolution and Next-Gen Developer Platforms
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Evolution and Next-Gen Developer Platforms
Continuous Everything: integrating security, compliance, and broader workflows into delivery systems
AI-Assisted Development and Self-Healing Pipelines: conceptual capabilities and the new failure modes they introduce
Long-Term Maintenance: deprecation, compatibility, and evolving platforms without breaking trust
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Trade-Offs: Speed, Stability, and Workflow Complexity
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