When it comes to running and operating production-grade EKS managed Kubernetes clusters, monitoring and alerting are considered essential components of an enterprise Kubernetes observability stack. 

In this hands-on lab, you'll learn how to set up and use the following essential monitoring applications:

• Prometheus
• Grafana

You'll learn how to integrate these monitoring applications together into an effective and cohesive monitoring solution.

Learning Objectives

Upon completion of this Lab, you will be able to:

• Deploy and instrument a sample Python Flask web-based API into Kubernetes, instrumented to provide metrics which will be collected by Prometheus and displayed within Grafana
• Install and configure Prometheus into Kubernetes using Helm
• Setup Prometheus for service discovery
• Install and configure Grafana into Kubernetes using Helm
• Import pre-built Grafana dashboards for real-time visualisations

Intended Audience

This lab is intended for:

• Kubernetes practitioners
• DevOps Engineers
• SREs

Lab Prerequisites

You should be familiar with:

• Basic Linux command line administration
• Basic Kubernetes and Container-based concepts

Lab Environment

This Lab will start with the following AWS resources provisioned automatically for you:

• 1 x EKS cluster - Cluster-1 - provides a fully functional Kubernetes cluster 
  • 1 x NodeGroup
    • 2 x EC2 Worker Nodes
• 2 x EC2 instances
  • eks.launch.instance - used to launch the EKS cluster
  • cloudacademylabs - used to provide an SSH based terminal

Updates

April 14th, 2023 - Resolved Prometheus pod error

February 28th, 2023 - Updated to Kubernetes 1.24

January 9th, 2023 - Resolved a Prometheus deployment error and updated the lab instructions and screenshots to reflect the latest UI