Cloud Modernization Patterns
Modernize legacy applications with AI CLI tools — assessment, platform selection, containerization, data migration, and production readiness.
6 modules · 22 lessons · ~6.9 hours · Application teams, architects, SRE/operations
Chapter 1 in the Meridian sequence · 9 live so far · continues in Zero Trust Implementation
Follow the modernization of a fictional utility company's legacy estate — a load-bearing low-code app, a .NET Framework monolith with an Oracle database, and a decade of file-share reporting data — from first assessment to production cutover, and then keep it modern. Every lesson uses AI CLI tools to do the real work.
The Curriculum
Size It Up
Decide before you build
Assess the legacy estate, weigh build vs adopt vs extend, and sequence a roadmap that survives contact with reality
Where Should It Run?
PaaS first, Kubernetes last
The platform decision ladder, containerizing a .NET Framework monolith, managed container services, and the one workload that genuinely needs Kubernetes
Move the Data
Exact seams, no orphans
Contract-driven migration: watermark handoffs, reconciliation before cutover, and manifests as your audit trail
Make It Production
Ship it and own it
Hardening, the role-by-scenario test matrix, environment promotion, and the Day-2 operations you keep
Modernize With AI
The 2026 operating model
Agent-driven assessment, AI-executed porting behind characterization tests, and owning the fleet AI builds
Stay Modern
Make it stick
Secretless pipelines, golden paths, policy-as-code with drift detection, and compliance evidence as code
New to AI CLI tools?
This training assumes you can drive an AI CLI (Claude Code, Codex CLI, Antigravity CLI, or Copilot CLI). If that's new, these modules from our AI-Powered Development training are the fastest preparation — most students need only the first one: