DevOpsAndSre Hub

This cluster covers the operational discipline of running software in production — automated delivery, deployment patterns, observability, on-call practice, and the SRE core principles. The orientation is concrete: practices that make the difference between a stable production system and an unstable one.

Delivery

• DevOpsFundamentals — What DevOps actually changed; what it did not
• CiCdPipelines — Pipeline design, stages, the patterns that scale
• TrunkBasedDevelopment — Trunk vs. GitFlow, the case for trunk
• GitWorkflows — Branch strategies, merge vs. rebase, commit hygiene
• MonorepoVsPolyrepo — The trade-offs at scale
• FeatureToggleManagement — Flag types, lifecycle, retirement
• ReleaseEngineering — Release artifacts, signing, rollback
• ReleasePlanning — Sequencing, dependencies, communication

Operations and Resiliency

• OnCallPractices — Rotation, escalation, blameless postmortems
• RunbookAutomation — Runbooks that work; automating the recoverable
• StatusPageBestPractices — Public status pages, customer communication
• ToilReductionStrategies — Identifying and eliminating operational toil
• ScheduledTaskManagement — Cron, scheduled jobs, the patterns that survive
• Auto Scaling Strategies — Horizontal vs. Vertical, predictive scaling, and cost control
• Health Check Patterns — Liveness, readiness, and deep-health checks in distributed systems

Observability Implementation

Technical standards for monitoring and insight across the project ecosystem.

• Observability and Monitoring Blueprint — Unified standard for OTel, Prometheus, and Grafana
• Monitoring and Alerting — The architecture of insight: metrics, logs, and traces
• AI Observability in Production — Monitoring LLM drift, safety, and evaluation metrics

Infrastructure and Tooling

• Kubernetes Basics — Pods, Deployments, Services, and the K8s object model
• Docker Deployment — Containerizing applications for portable production
• Secrets Management — Storing and rotating credentials in a secure pipeline
• Rate Limiting and Throttling — Protecting services from resource exhaustion
• ServiceMeshArchitecture — When the mesh is worth the complexity
• Container Security — Hardening the runtime and the image supply chain

Adjacent clusters

• Cloud Platforms Hub — Where DevOps practices land in cloud
• Software Engineering Practices Hub — Code-side disciplines
• Web Services and APIs Hub — Service-level concerns