Delve into Kubernetes Chaos Engineering to discover system limits, simulate adverse effects, and improve resiliency. Learn about fault tolerance, high availability, and running experiments in a Kubernetes cluster.

Let’s face it, bad things happen in software engineering, often when you least expect it. Servers go down, there are spikes in traffic, you receive networking errors. Luckily, you can avoid these problems. Enter chaos engineering.
Chaos engineering is where you try to find the limits of a system and simulate adverse effects that might happen. These simulations then help you to determine the best way to improve your system and build up its resiliency.
This course is divided into various sections to get you used to the different types of experiments you can run in chaos engineering. You will start by learning how to destroy application instances in order to show you the importance of scaling, fault tolerance, and high availability.
You will then dive deep into other types of experiments such as destroying a network, draining and deleting nodes, and testing availability. Towards the end of the course, you will learn how to run experiments in a Kubernetes cluster.

The DevOps Toolkit: Kubernetes Chaos Engineering

We’re about to explore Kiali as an alternative, or a complement, to Grafana dashboards. Before we do that, please cancel the tunnel to Grafana by pressing *ctrl+c*

Like with Grafana, we won’t go into detail; we’ll only take a quick look at Kiali. I will assume that you’ll explore it in more detail later on. After all, it’s just a UI.


Unlike Grafana, which is a general dashboarding solution that works with many different sources of metrics, Kiali is specific to service meshes. It visualizes network traffic.

## Opening up the Kiali dashboard

Let's open it and see what we'll get.


We’re about to explore Kiali as an alternative, or a complement, to Grafana dashboards. Before we do that, please cancel the tunnel to Grafana by pressing *ctrl+c*

Like with Grafana, we won’t go into detail; we’ll only take a quick look at Kiali. I will assume that you’ll explore it in more detail later on. After all, it’s just a UI.


Unlike Grafana, which is a general dashboarding solution that works with many different sources of metrics, Kiali is specific to service meshes. It visualizes network traffic.

# Opening up the Kiali dashboard

Let's open it and see what we'll get.


In this lesson, we will see how to open up the Grafana dashboards and briefly explore the Istio Mesh dashboard.

Introduction To Kubernetes Chaos Engineering

Defining Requirements

Destroying Application Instances

Experimenting with Application Availability

Obstructing and Destroying Network

Draining and Deleting Nodes

Creating Chaos Experiment Reports

Running Chaos Experiments Inside a Kubernetes Cluster

Executing Random Chaos

What’s Next?

Exploring Kiali Dashboards

Opening up the Kiali dashboard