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MIGRATIONS
Migrations of deprecated services, old OSS and legacy. Managing production with zero risks
VERSIONING
Ensure consistent versioning, maintenance, and security across all layers
Change / Improve
"Don't touch approach" - Barriers to adapting, modifying, rolling back
Multi cloud
Migrate apps to new cloud, centralize shared services
Standardization
AI-generated configs with inconsistent styles - Tower of Babel
Tracking
No centralized view for Audit, SecOps, Observability, OPEX
β οΈ Deprecated & EOL services in production
CONFIG PUSH ZONE
Different people, different AI tools, no standards
πYAML
{ }JSON
πPython
β‘API
+
π€ChatGPT
π§ Claude
βοΈCopilot
β¨Gemini
β
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KUBERNETES
Source code / Apps
βΈοΈK8s
π³Docker
djDjango
NNode.js
βοΈReact
GoGolang
βJava
NNginx
πArgo
βHelm
VM / LEGACY
Deprecated databases
π₯οΈVM
π₯οΈVM
πElastic
EOL
π΄Oracle
πSQL Srv
πPostgres
πMongo
AWS MANAGED
Vendor Lock-in β οΈ
ποΈRDS
βAurora
π¦S3
πDocDB
β‘Cache
Ξ»Lambda
π LOCK-IN
EXTERNAL SYSTEMS
Identity / Secrets / Monitoring
πEntra
πVault
π«Okta
πLDAP
πDatadog
πPager
β οΈ
CROSS PLATFORM COMMUNICATION
β οΈ
K8s
β·
VM
β Breaks IAC
β Breaks GitOps
K8s
β·
AWS
β Breaks Automation
β Vendor Lock-in
VM
β·
AWS
β Breaks Security
β No Observability
ALL
β·
External
β Split Policies
β No Single RBAC
π IAC (Terraform)
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β No single source of truth automation
π GitOps (ArgoCD)
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π
IN PROGRESS
β Doesn't cover managed services or VMs
π₯ THE CHAOS - What's Broken
No centralized observability
Vendor Lock-in
Cross platform breaks IAC
Security policies split
Inconsistent configuration
AI tools = different configs
Human errors & chaos
Compliance (DORA, PCI-DSS)
SCALE FROM ZERO
Private AI RAG
Service Mesh
Legacy Migration
Deprecated CRDs
EOL Migration