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

Understanding Monitoring in DevOps

Need of Monitoring our Resources
Role of Prometheus in Monitoring
Role of Grafana in Monitoring
Role of Alerting

Installing Prometheus, Grafana & Node Exporter

Lab: Installing Prometheus
Lab: Installing Grafana
Lab: Installing Node Exporter

Connecting Resources

Lab: Connecting Node Exporter with Prometheus
Lab: Connecting Prometheus with Grafana
Understanding Prometheus Query Language

Grafana Visualisation for Virtual Machines

Lab: Creating a Virtual Machine Monitoring Dashboard
Lab: Monitoring Essential Virtual Machine Vitals
Lab: Using Blackbox with Prometheus
Lab: Monitoring Websites with Grafana
Lab: Integrating Prometheus with Pushgateways
Lab: Monitoring Linux Processes in Grafana
Lab: Importing Pre-designed Dashboards
Lab: Using Grafana Variables
Lab: Designing Dashboards for Multiple Virtual Machines using Grafana Transform

Grafana Visualisation for Cloud

Lab: Connecting AWS Cloudwatch to Grafana
Lab: Connecting Azure Monitor to Grafana
Lab: Creating Dashboards for Cloud Resources

Grafana for Kubernetes

Lab: Deploying Grafana on Kubernetes using Helm
Lab: Creating Dashboards for Monitoring Kubernetes Resources

Grafana Alerting

Understanding Triggering Notifications in Grafana
Lab: Triggering Slack & Discord Notifications via Grafana

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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.