Amazon EKS - Observability with Prometheus and Grafana

Lab Steps

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Logging in to the Amazon Web Services Console
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Connecting to the Virtual Machine using EC2 Instance Connect
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Reviewing Amazon EKS Resources Automatically Created
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Installing Kubernetes Management Tools and Utilities
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Observability using Prometheus and Grafana

The hands-on lab is part of this learning path

Ready for the real environment experience?

DifficultyIntermediate
Time Limit2h
Students11
Ratings
5/5
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Description

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:

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

 

About the Author
Students75228
Labs49
Courses110
Learning paths56

Jeremy is a Content Lead Architect and DevOps SME here at Cloud Academy where he specializes in developing DevOps technical training documentation.

He has a strong background in software engineering, and has been coding with various languages, frameworks, and systems for the past 25+ years. In recent times, Jeremy has been focused on DevOps, Cloud (AWS, GCP, Azure), Security, Kubernetes, and Machine Learning.

Jeremy holds professional certifications for AWS, GCP, and Kubernetes.