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
โข Understand the monitoring architecture, observability capabilities, and metrics collection features of Grafana and Prometheus for infrastructure monitoring.
โข Set up and configure Grafana and Prometheus environments, exporters, data sources, dashboards, and monitoring components for observability workflows.
โข Design metrics collection pipelines, dashboards, alerts, queries, and visualization models using Grafana and Prometheus development approaches.
โข Implement infrastructure monitoring, metrics analysis, alert management, and real-time observability workflows effectively.
โข Debug, test, and optimize monitoring configurations, queries, and platform performance for scalability and reliability.
โข Build secure, automated, and production-ready monitoring and observability solutions using Grafana and Prometheus best practices.
Duration & Delivery Mode
14 hours
Target Audience
โข DevOps and site reliability engineers
โข System administrators
โข Cloud and platform engineers
โข IT operations professionals
โข Developers responsible for application monitoring
Pre-requisites
โข Basic understanding of Linux or system administration
โข Familiarity with cloud or application environments is helpful
โข Interest in monitoring and observability platforms
Skillset Achieved
โข Understanding monitoring and observability fundamentals
โข Deploying and configuring Prometheus
โข Writing and using PromQL queries
โข Building Grafana dashboards
โข Configuring alerts and notifications
โข Monitoring cloud and container environments
โข Troubleshooting performance issues
โข 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
โข What is monitoring and observability
โข Metrics, logs, and traces overview
โข Use cases for Prometheus and Grafana
โข Modern monitoring architecture
Prometheus Architecture & Core Concepts
โข Prometheus server components
โข Time-series data model
โข Pull-based scraping model
โข Prometheus storage basics
Target Discovery & Exporters
โข Node exporter and application exporters
โข Static and dynamic service discovery
โข Kubernetes and cloud service discovery basics
โข Configuring scrape jobs
PromQL Fundamentals
โข PromQL syntax and operators
โข Basic metric queries
โข Aggregations and functions
โข Building useful PromQL queries
Alerting with Prometheus & Alertmanager
โข Alerting concepts and best practices
โข Configuring Alertmanager
โข Alert routing and notifications
โข Alert fatigue and tuning
Grafana Architecture & Data Sources
โข Grafana architecture overview
โข Connecting Prometheus as a data source
โข Managing users and permissions
โข Grafana configuration basics
Building Grafana Dashboards
โข Creating panels and visualizations
โข Variables and templating
โข Dashboard best practices
โข Sharing and exporting dashboards
Monitoring Containers & Cloud Environments
โข Monitoring Docker and Kubernetes
โข Cloud metrics integration basics
โข Application performance monitoring concepts
โข Observability in hybrid environments
Grafana & Prometheus Workshop & Best Practices
โข Deploying a complete monitoring stack
โข Creating dashboards and alerts
โข Troubleshooting common monitoring issues
โข Final workshop review and best practices
Assessment Topics
โข Grafana & Prometheus Setup & Monitoring Architecture
โข Exporters, Data Sources & Metrics Collection Configuration
โข Dashboards, Queries & Visualization Development
โข Alerts, Monitoring Rules & Observability Integration
โข Testing, Debugging & Performance Optimization
โข 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.
Available cities in United States for this course
Explore delivery locations across United States and move into city pages for localized schedules and context.
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What Our Students Say
Says this Grafana and Prometheus training helped him build reliable monitoring for production systems.
Highlights AcadNXTโs observability course as an excellent program for mastering modern monitoring platforms.
Shares that the training improved his teamโs ability to create actionable dashboards and alerts.
States that this course provided strong practical guidance for implementing Prometheus and Grafana in enterprise environments.
Recommends AcadNXTโs Introduction to Grafana and Prometheus training for teams building modern observability stacks.