Getting Started with Prometheus: Discover what Prometheus is, its origins, and why it has become the de facto standard for monitoring and metric-based observability.

The Internal Design of Prometheus: Head, chunking, compaction, write-ahead log, blocks, and more concepts that make Prometheus a powerful monitoring tool are explained in detail. The way Prometheus stores and queries data is key to understanding how to use it at scale.

Installing and Configuring Prometheus: Follow a hands-on, step-by-step guide to installing Prometheus, configuring it to scrape metrics, and setting up a robust monitoring environment.

Exploring the Prometheus Web Interface: Learn how to effectively navigate the Prometheus UI, query collected data using PromQL, and understand the status of targets, TSDB, and alerting rules.

Exploring and Querying Metrics with PromQL (Prometheus Query Language): Dive deep into PromQL with practical examples, from basic queries to advanced functions like rate calculations, aggregations, and mathematical transformations.

Relabeling and Advanced Configuration: Master the art of relabeling, configuring service discovery, and advanced configuration options to make Prometheus as flexible as possible. Use these techniques to monitor complex environments and make your monitoring experience adaptive and efficient.

Building Dynamic Dashboards with Grafana: Understand and implement dynamic dashboards in Grafana to create interactive visualizations and explore data across different dimensions.

Visualizing Metrics with Grafana: Import intuitive and powerful dashboards using Grafana to visualize Prometheus metrics and gain actionable insights. Build on the open-source community dashboards and extend them to meet your specific needs.

Monitoring *nix Systems (Linux, Unix, FreeBSD, etc.) with Node Exporter Collect system-level metrics such as CPU, memory, disk usage, and network statistics using the Node Exporter.

Monitoring External Services with Blackbox Exporter: Probe endpoints over HTTP, TCP, DNS, and ICMP to monitor availability and response times, using the Blackbox Exporter.

Monitoring Kubernetes with Prometheus: Deploy Prometheus and kube-prometheus-stack using Helm, scrape Kubernetes endpoints, and collect cluster-wide metrics with kube-state-metrics and other integrations.

Monitoring Docker and Containerized Workloads: Track container resource usage, running instances, and performance metrics using cAdvisor, Docker Engine metrics, and Prometheus-native monitoring tools.

Custom Exporters for Non-Native Integrations: Learn how to create and deploy custom exporters for applications and services that don’t natively expose Prometheus metrics.

Handling High Cardinality and Label Best Practices: Strategies for managing high-cardinality metrics and designing efficient labels for scalable monitoring.

Prometheus Service Discovery: Learn how Prometheus automatically discovers targets using mechanisms like Kubernetes, Docker Swarm, and file-based discovery.

Code Instrumentation and Custom Metrics: Learn how to shift-left monitoring, instrument your applications with Prometheus client libraries, and expose custom metrics to Prometheus.

Understanding Prometheus Metric Types: A deep dive into counters, gauges, histograms, and summaries-how they work and when to use each.

Setting Up Alerts with Alertmanager: Learn how to configure alerting rules, manage notifications, and integrate Alertmanager with tools like Slack, email, and others for real-time alerting.

Pushgateway for Short-Lived Jobs: Understand how to monitor batch jobs and ephemeral workloads that are not directly exposed to Prometheus using the Pushgateway.

Understand the Bottlenecks and Performance Tuning: Gain a practical understanding of the performance bottlenecks of Prometheus and how to easily identify and resolve them.

Debugging and Troubleshooting Prometheus: Learn the important techniques for diagnosing slow queries, missing metrics, and performance issues in Prometheus.

Retention Policies and Storage Management: Learn how to manage data retention, configure TSDB, and optimize disk usage for long-term efficiency.

Scaling and Long-Term Storage: Understand Prometheus’ limitations and how solutions like Thanos and Cortex can help with scaling and long-term storage. Master the advanced techniques of sharding, federation, remote write, and more.

Best Practices: Learn practical tips for fine-tuning Prometheus, optimizing its resource usage, avoiding high-cardinality pitfalls, implementing monitoring best practices, reducing alert fatigue, designing effective dashboards, and many other strategies to help you get the most out of this powerful tool.

Real-World Use Cases: Learn how operations and observability teams use Prometheus in production, monitor containers, Kubernetes clusters, and VMs, and integrate it with other tools like Alertmanager and Grafana.