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Chaos Engineering with Chaos Toolkit
Rating: 3.7 out of 5(35 ratings)
224 students

Chaos Engineering with Chaos Toolkit

Practical exposure using Chaos Toolkit
Created byNitin Kansal
Last updated 5/2022
English

What you'll learn

  • Chaos Engineering Concept
  • Chaos Toolkit Installation and configuration
  • Create and run Chaos Toolkit experiments to break the running services
  • Impact of random experiments execution on application
  • Steady State Hypothesis - SSH in detail
  • Rollback of experiment execution
  • Abort and other failure injection in microservices using Chaos experiments

Course content

7 sections • 27 lectures • 2h 26m total length

  • About me !0:28

    Nitin is a Solution Architect and DevOps SME and worked for a number of companies.

    He has a strong background in platform engineering, and has been desiging solutions on multiple clouds for years. In recent times, Nitin has been focused on DevOps, Cloud (AWS and Azure), Security, Kubernetes, and Data Engineering.

    Nitin holds professional certifications for AWS, Azure and Kubernetes (CKA, CKAD, CKS), Terraform and Ansible.

    This course will give you good understanding of Chaos Engineering, starting from what is chaos engineering, what is history and what are the phases and principles of chaos engineering. This course is loaded with fully hands demos. Please subscribe for the course only when you like hands on.

  • What is Chaos Engineering?2:51
  • History of Chaos Engineering1:38
  • The Phases of Chaos Engineering1:47
  • Principles of Chaos Engineering1:29
  • Chaos Engineering Examples2:25
  • Chaos Engineering Community3:03

Requirements

  • Basic Cloud understanding
  • Kubernetes knowledge
  • Basic understanding of microservices deployment through Istioctl
  • Basic monitoring services using Prometheus and Grafana

Description

What you'll learn

  • The fundamental of chaos engineering

  • Why do we need chaos engineering

  • How to manage the destruction

  • How to test and find limits of a system

  • Step by step learning of chaos engineering with chaos toolkit by implementing practical chaos experiments


Requirements

  • Kubernetes cluster

  • A few tools installed on a laptop (instructions are provided in the course)


Description

As is often the case with new and technical areas, Chaos Engineering is a simple title for a rich and complex topic. Many of its principles and practices are counter intuitive - starting with its name, which makes it doubly challenging to explain.

I’m very pleased to say, this course would make you so easy to understand about chaos engineering, because here you will find simply explanation of chaos engineering with practical exposure, that makes it unique.

This, however, brings us to the main question. Why on earth would any reasonable person want to introduce chaos into their systems? Things are complicated enough already in our lives, so why go looking for trouble?

The short answer is that if you don’t look for trouble, you won’t be prepared when it comes looking for you. And eventually, trouble comes looking for all of us.

Testing—at least as we have all understood the term—will not be of much help. A test is an activity you run to make sure that your system behaves in a way that you expect under a specific set of conditions.

The biggest source of trouble, however, is not from the conditions we were expecting, but from the conditions that never occurred to us. No amount of testing will save us from emergent properties and behaviors. For that, we need something new.

That is chaos engineering.


Who this course is for:

  • Newcomer as well as experienced software developers, DevOps those want their application should be safe during production.

  • This course is for everyone interested in learning experiment with chaos engineering with chaos toolkit.

  • Taking this course will enable you to be among the first to gain a very solid understanding of chaos engineering

Who this course is for:

  • The chaos will help learner's resume shortlisted as many companies are intended to use chaos
  • The one who wanted to learn chaos in order to make the services more resilient and robust
  • The one who want to identify vulnerabilities before a hacker does or before a system failure

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