The course covers metrics-based monitoring concepts, Prometheus architecture, data collection, PromQL, Grafana dashboards, alerting, and best practices.
Overview
This Introduction to Grafana and Prometheus training is designed to help participants monitor, visualize, and alert on modern infrastructure and applications using Prometheus and Grafana. The course covers metrics-based monitoring concepts, Prometheus architecture, data collection, PromQL, Grafana dashboards, alerting, and best practices. Participants will gain hands-on experience to build effective observability solutions for cloud, containerized, and on-premise environments.
Learning Outcomes
• Understand the monitoring architecture, observability capabilities, and metrics collection features of Grafana and Prometheus for infrastructure monitoring.
• Set up and configure Grafana and Prometheus environments, exporters, data sources, dashboards, and monitoring components for observability workflows.
• Design metrics collection pipelines, dashboards, alerts, queries, and visualization models using Grafana and Prometheus development approaches.
• Implement infrastructure monitoring, metrics analysis, alert management, and real-time observability workflows effectively.
• Debug, test, and optimize monitoring configurations, queries, and platform performance for scalability and reliability.
• Build secure, automated, and production-ready monitoring and observability solutions using Grafana and Prometheus best practices.
Duration & Delivery Mode
14 hours
Target Audience
• DevOps and site reliability engineers
• System administrators
• Cloud and platform engineers
• IT operations professionals
• Developers responsible for application monitoring
Pre-requisites
• Basic understanding of Linux or system administration
• Familiarity with cloud or application environments is helpful
• Interest in monitoring and observability platforms
Skillset Achieved
• Understanding monitoring and observability fundamentals
• Deploying and configuring Prometheus
• Writing and using PromQL queries
• Building Grafana dashboards
• Configuring alerts and notifications
• Monitoring cloud and container environments
• Troubleshooting performance issues
• Applying monitoring and observability best practices
Course Outcome
By the end of this training, participants will be able to deploy, configure, and use Prometheus and Grafana to monitor infrastructure and applications effectively. Learners will gain strong fundamentals in metrics, alerting, and visualization, enabling them to build reliable observability solutions for modern IT environments.
Course Outline
Introduction to Monitoring, Observability & Metrics
• What is monitoring and observability
• Metrics, logs, and traces overview
• Use cases for Prometheus and Grafana
• Modern monitoring architecture
Prometheus Architecture & Core Concepts
• Prometheus server components
• Time-series data model
• Pull-based scraping model
• Prometheus storage basics
Target Discovery & Exporters
• Node exporter and application exporters
• Static and dynamic service discovery
• Kubernetes and cloud service discovery basics
• Configuring scrape jobs
PromQL Fundamentals
• PromQL syntax and operators
• Basic metric queries
• Aggregations and functions
• Building useful PromQL queries
Alerting with Prometheus & Alertmanager
• Alerting concepts and best practices
• Configuring Alertmanager
• Alert routing and notifications
• Alert fatigue and tuning
Grafana Architecture & Data Sources
• Grafana architecture overview
• Connecting Prometheus as a data source
• Managing users and permissions
• Grafana configuration basics
Building Grafana Dashboards
• Creating panels and visualizations
• Variables and templating
• Dashboard best practices
• Sharing and exporting dashboards
Monitoring Containers & Cloud Environments
• Monitoring Docker and Kubernetes
• Cloud metrics integration basics
• Application performance monitoring concepts
• Observability in hybrid environments
Grafana & Prometheus Workshop & Best Practices
• Deploying a complete monitoring stack
• Creating dashboards and alerts
• Troubleshooting common monitoring issues
• Final workshop review and best practices
Assessment Topics
• Grafana & Prometheus Setup & Monitoring Architecture
• Exporters, Data Sources & Metrics Collection Configuration
• Dashboards, Queries & Visualization Development
• Alerts, Monitoring Rules & Observability Integration
• Testing, Debugging & Performance Optimization
• End-to-End Grafana and Prometheus Monitoring Project
Evaluation
Participants will be evaluated through hands-on Grafana and Prometheus labs, practical dashboard and alert configuration exercises, instructor-led reviews, and a final assessment focused on building a complete monitoring and observability solution.
Course Materials
Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.
Certification
Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Introduction to Grafana and Prometheus. This digital, verifiable certification validates practical monitoring setup, PromQL usage, dashboard design, and observability platform skills and can be shared on LinkedIn and included in professional profiles to enhance DevOps and SRE career credibility.
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What Our Students Say
Says this Grafana and Prometheus training helped him build reliable monitoring for production systems.
Highlights AcadNXT’s observability course as an excellent program for mastering modern monitoring platforms.
Shares that the training improved his team’s ability to create actionable dashboards and alerts.
States that this course provided strong practical guidance for implementing Prometheus and Grafana in enterprise environments.
Recommends AcadNXT’s Introduction to Grafana and Prometheus training for teams building modern observability stacks.