Self-Hosted Development Infrastructure

Building Your Own Git Hosting, CI/CD, and Software Engineering Platform from the Ground Up

Introduction

1. What This Book Covers
2. Who This Book Is For
3. How to Use This Book
4. What This Book Does Not Cover

Chapter 1: Why Self-Host? The Case for Owning Your Development Infrastructure

1. The Shift Away from Fully Managed Services
2. What Self-Hosting Actually Means in 2026
3. Security, Compliance, and Data Sovereignty Drivers
4. Cost Economics: Hosted Versus Self-Hosted Over Time
5. Operational Burden and Hidden Costs of Self-Hosting
6. When You Should Not Self-Host

Chapter 2: Git Fundamentals for Infrastructure Operators

1. How Git Repositories Actually Work: Objects, References, and Packfiles
2. Git Transport Protocols: Local, File, SSH, HTTP, and Git
3. Branching Models and Collaboration Workflows in Practice
4. Remote Operations: Fetch, Push, Clone, and Server-Side Processing
5. Large Files and Git LFS Architecture
6. Repository Maintenance: Garbage Collection, Pruning, and Integrity

Chapter 3: Preparing Your Infrastructure Foundation

1. Choosing Hardware and Virtualization: From Single Server to Cluster
2. Operating System Selection and Minimal Install
3. Networking Fundamentals: IPs, Firewalls, Ports, and Segmentation
4. TLS Certificates: Let’s Encrypt, ACME, and Certificate Management
5. Reverse Proxies: Nginx, Caddy, and Traefik for Routing Traffic

Chapter 4: Choosing a Git Hosting Platform

1. The Self-Hosted Git Platform Landscape in 2026
2. Gitea: Lightweight, Fast, and Community Driven
3. Forgejo: Fork, Philosophy, and Governance
4. GitLab CE/EE: Feature-Rich and Complex
5. Comparison Matrix: Features, Resources, and Operational Profile
6. Decision Framework: Matching Platform to Your Requirements

Chapter 5: Deploying a Git Hosting Server

1. Installation Methods: Package Manager, Docker, Binary, and Source
2. Database Configuration: PostgreSQL, MySQL, SQLite Trade-offs
3. Storage Layout: Repositories, Avatars, Attachments, and LFS Objects
4. Initial Configuration and Application Settings
5. Authentication Setup: Local Accounts, SSH Keys, and Password Policies
6. First Repositories, Users, and Access Verification

Chapter 6: Security, Identity, and Access Control

1. Authentication Strategies: Local, LDAP, Active Directory, and SAML/OIDC
2. Setting Up Single Sign-On with OAuth2 and OpenID Connect Providers
3. Authorization Models: Users, Groups, Teams, and Repository Permissions
4. Two-Factor Authentication and MFA Enforcement
5. Secrets Management for CI/CD and Infrastructure
6. Server Hardening: SSH Security, Firewall Rules, and Patching Strategy
7. Vulnerability Management and Security Monitoring

Chapter 7: CI/CD Pipelines and Build Infrastructure

1. Pipeline as Code: YAML Syntax, Stages, Jobs, and Artifacts
2. Runner Architecture: How CI Agents Work Under the Hood
3. Deploying Self-Hosted Runners: Docker, Shell, and Kubernetes Executors
4. Build Caching, Dependency Proxies, and Performance Optimization
5. Testing Integration: Unit, Integration, E2E, and Security Scanning
6. Deployment Automation: From Pipeline to Production Environment

Chapter 8: Artifact Management and Registries

1. Why Self-Host Registries: Control, Compliance, and Performance
2. Container Registry Options: GitLab Registry, Harbor, and Distribution
3. Package Repository Management: Maven, npm, PyPI, Go Modules
4. Vulnerability Scanning in Images and Dependencies
5. Retention Policies, Storage Limits, and Cleanup Automation
6. Integrating Registries with CI/CD Pipelines

Chapter 9: Backups, Disaster Recovery, and High Availability

1. Backup Philosophy: What Matters and Why RPO/RTO Drive Design
2. Backing Up Git Repositories: Bare Clones, Bundles, and Mirror Pushes
3. Database Backups: Logical Dumps, Physical Copies, and Point-in-Time Recovery
4. Application Configuration and State Backup Strategies
5. Disaster Recovery Planning and Restoration Testing
6. High Availability Architectures: Load Balancers, Clusters, and Failover

Chapter 10: Monitoring, Observability, and Logging

1. The Three Pillars: Metrics, Logs, and Traces in Infrastructure
2. System Monitoring: Prometheus, Node Exporter, and Alertmanager
3. Application Metrics: Git Platform Health, CI Runner Status, Queue Depth
4. Log Aggregation: Loki, ELK Stack, and Structured Logging
5. Dashboards and Alerting: What to Monitor and When to Wake Up
6. Incident Response Procedures and Postmortem Culture

Chapter 11: Scaling, Performance, and Capacity Planning

1. Understanding Bottlenecks: CPU, Memory, Disk I/O, and Network
2. Scaling the Git Platform: Horizontal vs Vertical Approaches
3. Database Performance Tuning and Read Replicas
4. CI/CD Scaling: Runner Pools, Dynamic Provisioning, and Queues
5. Capacity Planning Methodology: Metrics, Growth Curves, and Headroom
6. When Kubernetes Makes Sense (and When It Does Not)

Chapter 12: Migration from Hosted Services

1. Migration Planning: Inventory, Dependencies, and Risk Assessment
2. Repository Migration Tools and Techniques
3. Migrating Issues, Wikis, and Project Metadata
4. CI/CD Configuration Translation Between Platforms
5. DNS Cutover Strategy and Minimizing Downtime
6. Post-Migration Validation and Rollback Procedures

Chapter 13: Advanced Patterns and Federation

1. Repository Mirroring: Push, Pull, and Automatic Sync Strategies
2. Federated Git Hosting Across Multiple Sites or Clouds
3. Air-Gapped and Highly Regulated Environments
4. Infrastructure as Code for Your Development Platform
5. Reproducible Builds and Supply Chain Security
6. Developer Experience: Local Environments, DevContainers, and Tooling

Chapter 14: Complete Reference Architectures

1. Reference Architecture 1: Single Server for Individuals and Small Teams
2. Reference Architecture 2: Multi-Service On-Premises Platform
3. Reference Architecture 3: Distributed Enterprise Development Ecosystem
4. Implementation Blueprint: Phased Rollout Plan
5. Ongoing Operations Checklist and Maintenance Schedule
6. Future Considerations and Emerging Technologies

Conclusion

References