Kubernetes Observability
Full-Stack K8s Monitoring
Deploy complete observability for Kubernetes clusters. From kube-state-metrics to custom ServiceMonitors, build production-ready monitoring for your K8s infrastructure.
What You'll Achieve
K8s Metrics Collection
Prometheus Operator
K8s Dashboards
EKS Observability
Who This Track Is For
Designed for professionals ready to level up their observability expertise
Kubernetes administrators and operators
Platform teams managing K8s for developers
DevOps engineers moving workloads to K8s
SREs responsible for K8s reliability
Prerequisites
What You'll Learn
A structured progression through key topics, with hands-on labs at every step
- K8s observability challenges
- Resource metrics and kube-state-metrics
- Node-level monitoring
- Custom metrics exporters
- Prometheus Operator architecture
- ServiceMonitors and PodMonitors
- PrometheusRules for K8s
- Grafana K8s dashboards
- EKS observability patterns
- ADOT Collector deployment
- CloudWatch integration
- Multi-cluster monitoring
What You'll Be Able To Do
Practical skills you can apply immediately in your work
K8s Metrics Collection
Deploy kube-state-metrics, node-exporter, and custom metrics exporters
Prometheus Operator
Use ServiceMonitors, PodMonitors, and PrometheusRules for GitOps-friendly monitoring
K8s Dashboards
Build cluster, namespace, and workload-level dashboards with proper drill-down
EKS Observability
Integrate with AWS observability tools and CloudWatch Container Insights
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.