This professional training course is designed for DevOps engineers, system administrators, and SRE teams who want to gain deep expertise in modern monitoring and observability. Participants will learn how to use Prometheus for time-series data collection and Grafana for building insightful dashboards. The training program emphasizes proactive system health monitoring, custom alerting, and visualization strategies to ensure reliable operations across production environments.
Hands-On Labs: Real-world metric collection and dashboard building.
Instructor-Led Demos: Step-by-step walkthroughs of monitoring workflows.
Interactive Exercises: Create custom alerts, rules, and visualizations.
Troubleshooting Sessions: Learn how to detect and resolve system issues.
Understand the principles of observability and modern system monitoring.
Install and configure Prometheus for metric collection.
Build dynamic, real-time dashboards using Grafana.
Set up service discovery and exporters.
Create and manage alerting rules and notifications.
Integrate monitoring with CI/CD and cloud-native apps.
Apply best practices for scaling observability infrastructure.
Session 1: Understanding Observability in DevOps
What is observability vs monitoring?
Core components: metrics, logs, traces.
Session 2: Installing and Configuring Prometheus
Architecture and data model overview.
Setting up Prometheus with YAML configuration.
Session 3: Collecting Metrics with Exporters
Node Exporter and Blackbox Exporter.
Writing custom metrics and instrumenting services.
Session 4: Getting Started with Grafana
Grafana setup and data source connection.
Building dashboards using PromQL queries.
Session 5: Creating Effective Dashboards
Panels, variables, and templating in Grafana.
Custom KPIs and shared dashboards for teams.
Session 6: Alerting with Prometheus and Grafana
Alertmanager setup and routing tree.
Defining alert rules and thresholds.
Email/Slack/Teams integrations.
Session 7: Monitoring Microservices and Kubernetes
Service discovery and labels for dynamic environments.
Use case: monitoring containers and pod metrics.
Session 8: Integrating with CI/CD and Logging Tools
Pipeline observability: build and deploy metrics.
Logging and tracing correlation (intro to Loki and Jaeger).
Session 9: Capstone Project: Full Monitoring Stack Setup
Set up Prometheus + Grafana for a sample application.
Include metrics, alerts, dashboards, and Slack notifications.
Team presentation and peer review.
We are open to customizing this program to align with your specific learning objectives. If your team has particular goals or areas they wish to focus on, we would be happy to tailor the course outline to meet those needs and ensure the program supports the achievement of your desired outcomes.