Monitoring with Grafana & Prometheus

In this course, you'll embark on a journey to master the art of visualizing and analyzing data from diverse sources using Grafana's powerful features. Whether you're managing virtualized environments, cloud services, or orchestrating containers with Kubernetes, this course equips you with the skills to create informative dashboards, set up alerts, and harness the full potential of Grafana for effective monitoring and troubleshooting.

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About the course

Through hands-on tutorials and real-world scenarios, you'll learn how to set up Grafana dashboards to monitor the performance, health, and resource utilization of your virtual machines, cloud services, and Kubernetes clusters. Explore advanced data visualization techniques, integrate various data sources, and leverage Grafana plugins to customize your monitoring solutions according to your specific requirements.

By the end of this course, you'll be proficient in harnessing Grafana's capabilities to gain deep insights into your infrastructure, troubleshoot issues proactively, and optimize performance for enhanced reliability and efficiency.

Course Content

Introduction

Monitoring in DevOps
Why monitor resources?
Real Life Monitoring Examples
Use of Grafana
Use of Prometheus
Use of Data Exporters

Installing Grafana, Prometheus & Node Exporter

Lab: Installing Grafana on Ubuntu
Lab: Installing Prometheus on Ubuntu
Lab: Installing Node Exporter on Ubuntu

Getting Started

Lab: Connecting Grafana to Prometheus
Lab: Connecting Prometheus to Node Exporter
Understanding Dashboards in Grafana
Lab: Importing a Dashboard

Creating Dashboards from Scratch

Understanding the Prometheus Query Language (PromQL)
Lab: Creating a Dashboard for Single Virtual Machine Monitoring
Lab: Creating a Time Series Graph
Lab: Creating a Gauge Graph
Lab: Creating a Stat Graph

Advanced Virtual Machine Dashboard

Understanding the drawbacks of traditional dashboards
Understanding variables in Grafana
Lab: Creating a Multi VM Dashboard with Variables

Application Monitoring with Grafana

Understanding Blackbox Exporter for HTTP & HTTPS monitoring
Lab: Installing and Configuring Blackbox
Lab: Monitoring a Single Web Application using Timeseries Graphs
Lab: Monitoring Multiple Web Applications using Table and Transformation Graph
Lab: Using Map Graphs for Real-Time Stat Data Analysis

Cloud Monitoring using Grafana

Understanding Data Storage for Cloud Monitoring Solutions
Lab: Connecting Grafana to AWS CloudWatch
Lab: Importing a Dashboard for AWS CloudWatch
Lab: Connecting Grafana to Azure Monitor
Lab: Importing a Dashboard for Azure Monitor

Custom Data Monitoring using Grafana & Prometheus

Lab: Collecting Custom Metrics using Python Scripts
Lab: Creating Grafana Dashboards to Monitor Custom Metrics

Kubernetes Monitoring Using Grafana

Lab: Using Helm to Install Grafana and Prometheus Stack
Lab: Exploring important Metrics for Kubernetes

Alerting using Grafana

Understanding how Alerting works in Grafana
Understanding Alert Fatigue Issues
Lab: Exploring Alerting Options
Lab: Creating a Slack Alert to Trigger a Message
Lab: Creating a Webhook Alert to Trigger a Jenkins CI/CD Pipeline

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Frequently Asked Questions

Is this training live or pre-recorded?

The training is live instructor led training which is available in classroom as well as online format. We also record every training session which is then uploaded to our student portal.

How will I join the live online training?

The live online training is conducted via the zoom software, we will be providing you with the zoom meeting link to join the training.

How many students are there in a single batch?

On an average one batch will have a maximum of 18 students. We keep smaller batch sizes to promote interaction between the students and the instructor.