Platform Engineering
Observability Infrastructure at Scale
Design and deploy observability platforms for enterprise scale. Terraform modules, GitOps workflows, multi-cluster federation, and capacity planning.
What You'll Achieve
Infrastructure as Code
GitOps Workflows
Multi-Cluster Architecture
Capacity Planning
Who This Track Is For
Designed for professionals ready to level up their observability expertise
Platform engineering teams
Infrastructure architects
Senior SREs building internal platforms
DevOps leads standardizing tooling
Prerequisites
What You'll Learn
A structured progression through key topics, with hands-on labs at every step
- Terraform modules for observability
- Module design patterns
- State management strategies
- CI/CD for infrastructure
- GitOps for observability
- Dashboards-as-code with Grafonnet
- Alerts-as-code patterns
- ArgoCD integration
- Multi-cluster observability
- Federation patterns
- Mimir/Loki scaling architecture
- Capacity planning and cost modeling
What You'll Be Able To Do
Practical skills you can apply immediately in your work
Infrastructure as Code
Build Terraform modules for complete observability infrastructure
GitOps Workflows
Implement dashboards-as-code and alerts-as-code with version control
Multi-Cluster Architecture
Design federated observability for multi-cluster, multi-region deployments
Capacity Planning
Size Mimir, Loki, and Tempo for production workloads with proper cost modeling
Team Training
Customized to your team's needs
Explore Other Tracks
Continue your observability journey with complementary training
Observability Foundations
Your Entry Point to Modern Observability
Master the three pillars of observability (metrics, logs, traces) with hands-on OpenTelemetry instrumentation. Build production-ready dashboards and understand how signals correlate.
Grafana Stack Deep Dive
Master the Complete LGTM Stack
Go beyond basics with advanced PromQL, LogQL, and TraceQL. Learn production patterns for recording rules, alerting, cost optimization, and scaling the Grafana stack.
SLOs & Incident Response
From SLIs to Postmortems
Define meaningful SLOs, implement error budgets, and build systematic incident response workflows. Includes hands-on simulated incidents with real troubleshooting.