Hands-on Prometheus & Grafana to master observability, alerts & dashboards for DevOps, Cloud Engineers & SREs.
β±οΈ Length: 22.1 total hours
β 4.66/5 rating
π₯ 293 students
π August 2025 update
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- Course Overview
- This bootcamp transforms your approach to system health and reliability in modern cloud-native environments, addressing the critical need for proactive monitoring and robust observability stacks. You’ll gain an architectural mindset, understanding why specific configurations are essential for scalable, resilient systems. The course emphasizes building a comprehensive monitoring ecosystem, moving beyond reactive firefighting to predictive insights and automated incident response preparation. It empowers professionals to architect, implement, and maintain cutting-edge solutions that drive operational excellence, reduce MTTR, and ensure high availability across complex distributed systems.
- Requirements / Prerequisites
- A foundational understanding of Linux command-line operations is highly beneficial for installations. Familiarity with basic networking concepts (IP addresses, ports, HTTP) will aid data collection. Rudimentary knowledge of YAML and JSON for configuration is advantageous. Experience with one scripting language (e.g., Python, Go, Bash) helps with custom exporter concepts, though not strictly required. A conceptual understanding of cloud computing principles (VMs, containers, microservices) will contextualize challenges. Participants need reliable internet and a computer capable of running virtualized environments or Docker.
- Skills Covered / Tools Used
- Strategically apply Prometheus and Grafana for sophisticated observability. Master designing multi-dimensional data models within Prometheus for rich, contextual debugging. Cover advanced PromQL query optimization techniques for precise insights, complex aggregations, and high-performance dashboards/alerts. Learn seamless integration with operational data sources, including specialized container orchestration platform monitoring (e.g., Kubernetes via
kube-state-metricsandnode_exporter). - Develop bespoke metrics collection agents for unique application data, understanding software instrumentation and API integration for custom data pipelines. Focus on advanced alerting strategy and robust lifecycle management with Alertmanager, exploring silence management, dynamic notification routing (e.g., Slack, PagerDuty), and integration with incident management workflows to reduce alert fatigue.
- Master advanced Grafana visualization, including expert use of template variables for dynamic dashboards, integrating diverse data sources (e.g., Loki for logs, Tempo for traces for unified observability), and leveraging advanced panel options/plugins for impactful data presentation. Gain practical proficiency in Grafana’s native alerting capabilities: threshold configuration, notification channels, and differentiating its role from Alertmanager in a holistic monitoring architecture.
- Introduce Service Level Objectives (SLOs) and Service Level Indicators (SLIs), demonstrating how Prometheus/Grafana define, measure, and report these critical reliability metrics, enhancing SRE practices. Acquire skills to harness Prometheus’s capacity for trend analysis, capacity planning, and proactive anomaly detection. Delve into best practices for scaling Prometheus deployments (federation, Thanos, VictoriaMetrics) to manage high cardinality and demanding data retention. Master architectural principles for a resilient, insightful, scalable monitoring ecosystem.
- Strategically apply Prometheus and Grafana for sophisticated observability. Master designing multi-dimensional data models within Prometheus for rich, contextual debugging. Cover advanced PromQL query optimization techniques for precise insights, complex aggregations, and high-performance dashboards/alerts. Learn seamless integration with operational data sources, including specialized container orchestration platform monitoring (e.g., Kubernetes via
- Benefits / Outcomes
- Autonomously design, implement, and manage enterprise-grade monitoring solutions, elevating operational maturity. Proactively identify bottlenecks, predict failures, and rapidly diagnose root causes across complex microservices architectures. Strategically contribute to defining and achieving critical Service Level Objectives (SLOs), enhancing system reliability and user satisfaction. Become an indispensable asset in DevOps, SRE, or Cloud Engineering roles, fostering advanced career opportunities.
- PROS
- Holistic Observability: Architectural principles for scalable monitoring, beyond tool usage.
- Intense Practicality: Hands-on exercises for immediate, real-world skill application.
- Career Acceleration: Content directly enhances roles for DevOps, SREs, and Cloud Engineers.
- Future-Proof Skills: Covers scaling, multi-tool integration, and SLOs/SLIs.
- CONS
- High Commitment: Comprehensive nature demands significant time and dedication.
Learning Tracks: English,IT & Software,Other IT & Software