Goals

• Set up and run Prometheus locally or in a VM.

Topics

• Prometheus architecture (TSDB, Pull model, Exporters)
• Prometheus config file (prometheus.yml)
• Targets, scraping, and jobs

Lab

• Launch Prometheus on port 9090
• Add a static job to scrape localhost:9090
• Explore the Prometheus UI

Goals

• Collect metrics from different system components.

Topics

• What is an Exporter?
• Node Exporter (host metrics)
• Blackbox Exporter (HTTP/TCP monitoring)
• Application metrics (custom + libraries)

Lab

• Scrape Node Exporter metrics
• Add target to prometheus.yml
• Visualize system metrics (CPU, memory, disk)

Goals

• Install Grafana and connect it to Prometheus.

Topics

• Grafana architecture
• Data sources, dashboards, panels
• PromQL basics in Grafana

Lab

CI pipeline with:

• Import a Node Exporter dashboard from Grafana.com (ID: 1860)
• Build your own CPU + Memory panel

Goals

• Query and aggregate time-series data.

Topics

• Metric types: counter, gauge, histogram, summary
• PromQL syntax: rate(), sum(), avg(), max(), count(), irate()
• Grouping with by() and without()

Lab

• Create a dashboard with PromQL-based panels: CPU Usage, Memory, Disk I/O

Goal:

• Set up actionable alerts.

Topics

• Alertmanager basics
• Alert rules in prometheus.yml
• Email, Slack, PagerDuty integrations
• Grafana Alerting (8.x+)

Lab

• Trigger a high CPU alert
• Send to email or Slack
• View Grafana alerts dashboard

Goal:

• Monitor a full Kubernetes cluster.

Topics

• Prometheus Operator
• kube-state-metrics
• Helm charts for fast deployment
• Monitoring deployments, pods, nodes, and cluster health

Lab

• Monitor Kubernetes components
• Import Kubernetes dashboards (ID: 6417, 315)
• Visualize pod CPU/memory usage