Grafana and Prometheus with Cloud Services Training in Kraków, Poland

This hands-on training introduces the fundamentals of monitoring with Prometheus and Grafana in the context of cloud-native environments. It covers metric collection, querying, dashboard creation, and alerting, with a special focus on integrating cloud services such as AWS, Azure, or GCP. Participants will learn to deploy and operate Prometheus and Grafana in the cloud and visualize metrics from cloud-native resources.

Prometheus and Metric Collection in the Cloud

Introduction to Cloud Monitoring and Observability

  Monitoring needs in cloud-native environments

  Role of Prometheus and Grafana

  Overview of cloud-native telemetry

Prometheus Architecture and Setup in the Cloud

  Components of Prometheus

  Installing Prometheus in AWS EC2, Azure VM, or GKE/EKS

  Cloud-friendly Prometheus configuration

Scraping Metrics from Cloud and Kubernetes Resources

  Node exporter and cAdvisor for cloud VMs and containers

  Using exporters for AWS, Azure, GCP (e.g., CloudWatch exporter, Azure Monitor exporter)

  Discovering cloud-based targets dynamically

Metric Types and Collection Best Practices

  Prometheus metric types and formats

  Labeling and job organization

  Dealing with high-cardinality metrics

PromQL, Grafana Dashboards, and Alerting in the Cloud

Querying Metrics with PromQL in Cloud Context

  Filters, aggregations, and functions

  Querying for CPU, memory, latency, and availability metrics

  Building queries for cloud-specific use cases

Deploying and Configuring Grafana in the Cloud

  Grafana OSS vs Grafana Cloud

  Setting up Grafana with Prometheus as a data source

  Integrating with AWS, Azure, or GCP data sources

Building Cloud Monitoring Dashboards in Grafana

  Panels, variables, and templates

  Using pre-built dashboards for cloud services

  Best practices for dashboard layout and usage

Alerting and Notifications with Cloud Integration

  Creating alert rules in Grafana

  Routing alerts via Alertmanager or cloud-native tools (e.g., SNS, Azure Alerts)

  Integrating with Slack, Teams, PagerDuty, etc.

Hands-on Exercises

Summary and Conclusion