hands-on lab

Monitoring K8s with the Kubernetes Dashboard, Prometheus, and Grafana

Intermediate
Up to 2h 30m
943
4.6/5
Get guided in a real environmentPractice with a step-by-step scenario in a real, provisioned environment.
Learn and validateUse validations to check your solutions every step of the way.
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Lab description

When it comes to running production-grade 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 the Kubernetes Dashboard using Helm
  • Install and configure Prometheus into Kubernetes using Helm
  • Setup Prometheus for service discovery
  • Install and configure Grafana into Kubernetes using Helm
  • Import a pre-built dashboard 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:

  • 2 x EC2 instances - each assigned a public IP address:
    • ide.cloudacademy.platform.instance - provides a web-based IDE with integrated terminal
    • k8s.cloudacademy.platform.instance - provides a fully functional Kubernetes cluster

To achieve the Lab end state, you will be walked through the process of:

  • Using your local workstation browser to remotely connect to the ide.cloudacademy.platform.instance
  • Using the web-based IDE and integrated terminal, you'll complete the remainder of the stated Lab Objectives (above)

About the author
Avatar
Jeremy Cook, opens in a new tab
Content Lead Architect
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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, Azure, GCP), Security, Kubernetes, and Machine Learning.

Jeremy holds professional certifications for AWS, Azure, GCP, Terraform, Kubernetes (CKA, CKAD, CKS).

Covered topics
Lab steps
Logging In to the Amazon Web Services Console
Connecting to the CloudAcademy Web based IDE
Deploy a Simple API Application
Install and Configure K8s Dashboard
Install and Configure Prometheus
Install and Configure Grafana