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Evidence-based testing practice from production codebases — property-based invariants, seeded fault injection, contract tests, benchmark-verified performance, and quality gates that are enforced, not aspirational.
A complete learning path from absolute beginner to production-ready DevOps professional. Start with Linux fundamentals, progress through containers and Kubernetes, add observability and automation, and finish with AI infrastructure. All open-source, vendor-neutral, with mapped certifications and production-ready stacks.
Get the complete 8-month learning path as a printable PDF.
✅ 5-Phase Learning Timeline - From Linux fundamentals to AI infrastructure ✅ Certification Checklist - LPIC-1, DevOps Tools Engineer, and which ones to get first ✅ Production Stack Deployment Guide - What to deploy and when ✅ Resource Recommendations - Best free and paid resources for each phase ✅ Weekly Milestones - Track your progress with clear goals
📄 8-Month Learning Path to DevOps 5 phases · 20+ milestones · 10+ certification targets · Production stack guide
Includes: Weekly goals, resource recommendations, LPIC-1 through AI infrastructure, Docker, Kubernetes, Terraform, CI/CD pipelines, and observability.
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