hands-on lab

Monitoring K8s with the Kubernetes Dashboard, Prometheus, and Grafana

Difficulty: Intermediate

Duration: Up to 2 hours and 30 minutes

Students: 994

Rating: 4.7/5

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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)