The Complete Course of Prometheus

Install and configure Prometheus across Linux, Windows, and Docker, using precompiled binaries or Docker images, and set up with prometheus.yml to manage the time series database, exporters, and alerting.

Explore the Prometheus.yml configuration file to customize global and scrape settings, alerting rules, and service discovery for dynamic targets like Docker and Kubernetes.

Install node exporter, expose system metrics via HTTP, and configure Prometheus to scrape and validate metrics from nodes for infrastructure monitoring.

Explore Prometheus metric types, including counters, gauges, histograms, and summaries, within the multidimensional data model built from metric names and labels, generating time series for analysis and visualization in Grafana.

Explore Prometheus time series data and labels, learning how metric names, labels, timestamps, and values enable monitoring, PromQL queries, and dashboard visualizations.

Learn to retrieve and filter data with PromQL in Prometheus UI, using instance vector and range vector, apply aggregation functions, offset, group by, and binary operators.

Learn how to integrate Prometheus with Grafana to build rich dashboards, connect the Prometheus data source, and create visualizations like uptime, CPU, RAM, and disk usage using Grafana's time-series panels.

Configure Prometheus alert manager to handle alerting rules, deduplicate, group, and route notifications. Send alerts through email, webhooks, or Slack and learn installation and basic configuration.

Configure alert manager with Prometheus to send email alerts when CPU load crosses thresholds and when underutilization is detected, using SMTP details and alert rules.

Discover how Prometheus federation enables horizontal scaling and centralized monitoring across multi-region data centers, ensuring high availability, data privacy, and a unified global view.

Prometheus remote storage offloads time series data to external storage, boosting scalability and retention. Use the remote write API to push metrics to InfluxDB and query via remote read.

Learn how Prometheus exporters extend monitoring by exposing metrics via http endpoints for scraping, enabling extensible, decoupled monitoring with PromQL and alerts.

Monitor Kubernetes clusters with Prometheus by configuring scrape settings to collect metrics from kubelet and cadvisor, and visualize them in Grafana dashboards.

Learn strategies for effective metric collection in Prometheus, including choosing meaningful metrics, consistent naming and labels, relabeling, batching and aggregation, and robust alerting with Grafana.

Learn to troubleshoot Prometheus by diagnosing high resource usage, data loss, scraping failures, and alerting issues, while monitoring disks, logs, and network connectivity.

Explore the Prometheus ecosystem, including the server, exporters, alert manager, and Grafana, and how pull-based data collection and dynamic service discovery drive monitoring.

Explore upcoming Prometheus features and the roadmap, learn how to read release notes, and discover how to track issues and seek help through GitHub, forums, and StackOverflow.

Build a full Prometheus and Grafana monitoring dashboard from scratch using exporters, with alerting, branding, and website performance metrics like ssl expiry, dns, and response time.

Connect Prometheus to Grafana to build a website performance dashboard in part two, importing a dashboard, creating an overview with drill-down to detailed views, and setting a default home page.

Summarizes Prometheus fundamentals, architecture, components including alert manager, data model, metric types, promql queries, Grafana visuals, and federation with remote storage.