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The DevOps Toolkit: Kubernetes Chaos Engineering
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.
4.9
93 Lessons
5h 30min
Join 2.9 million developers at
Join 2.9 million developers at
Learning Roadmap
1.
Introduction To Kubernetes Chaos Engineering
Introduction To Kubernetes Chaos Engineering
Get familiar with Kubernetes Chaos Engineering principles, readiness, examples, and process essentials.
2.
Defining Requirements
Defining Requirements
Walk through selecting, evaluating, and installing tools for chaos engineering in Kubernetes.
3.
Destroying Application Instances
Destroying Application Instances
11 Lessons
11 Lessons
Go hands-on with chaos engineering by terminating application instances to understand resilience.
4.
Experimenting with Application Availability
Experimenting with Application Availability
9 Lessons
9 Lessons
Break down complex ideas to test and ensure application availability through chaos engineering experiments.
5.
Obstructing and Destroying Network
Obstructing and Destroying Network
14 Lessons
14 Lessons
Dig deeper into network disruptions, using Istio, and resiliency strategies in Kubernetes.
6.
Draining and Deleting Nodes
Draining and Deleting Nodes
10 Lessons
10 Lessons
Implement chaos engineering via workers and node management in Kubernetes clusters.
7.
Creating Chaos Experiment Reports
Creating Chaos Experiment Reports
8 Lessons
8 Lessons
Build on generating insightful chaos experiment reports to enhance application and cluster reliability.
8.
Running Chaos Experiments Inside a Kubernetes Cluster
Running Chaos Experiments Inside a Kubernetes Cluster
12 Lessons
12 Lessons
Step through chaos experiments in Kubernetes, deploying apps, configuring tools, and managing notifications.
9.
Executing Random Chaos
Executing Random Chaos
14 Lessons
14 Lessons
Unpack the core of executing random chaos experiments and deploying monitoring tools in Kubernetes.
10.
What’s Next?
What’s Next?
2 Lessons
2 Lessons
Examine key chaos engineering skills, system resilience, and community resources for ongoing support.
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Developed by MAANG Engineers
ABOUT THIS COURSE
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.
ABOUT THE AUTHOR
Darin Pope
Every Educative resource is designed by our team of ex-MAANG software engineers and PhD computer science educators — subject matter experts who've shipped production code at scale and taught the theory behind it. No videos, no fluff.
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