Oreilly – Chaos Engineering, Video Edition 2021-3

Oreilly – Chaos Engineering, Video Edition 2021-3 Downloadly IRSpace

Apr 18, 2025 - 18:18 Updated: Aug 17, 2025 - 18:20

0 0

Oreilly – Chaos Engineering, Video Edition 2021-3

Chaos Engineering Course, Video Edition. In this course, you will learn the principles of chaos engineering, a method that helps you make your software and infrastructure resilient to potential failures. Just as automotive engineers intentionally crash a car to test its safety, in chaos engineering we subject software systems to various failure scenarios to identify their weaknesses. The course includes examples from a wide range of software, from a simple WordPress site to complex distributed systems running on Kubernetes.

What you will learn:

Creating Controlled Failures: You will learn how to simulate failures in processes, applications, and virtual machines.
Testing Software on Kubernetes: You will learn how to test software running on Kubernetes.
Working with open source and legacy software: You will learn how to work with both open source and legacy software.
Simulating Database Connection Latency: You will learn how to simulate database connection latency.
Test and Improve Team Response to Failures: You will learn how to test and improve your team’s response to failures.

This course is suitable for people who:

They work with Linux servers.
Have basic scripting skills.
They are looking to increase the reliability of their software systems.

Chaos Engineering, Video Edition Course Details

Publisher: Oreilly
Instructor: Mikolaj Pawlikowski
Training level: Beginner to advanced
Training duration: 11 hours and 39 minutes

Course topics

Chapter 1. Into the world of chaos engineering
Chapter 1. Motivations for chaos engineering
Chapter 1. Four steps to chaos engineering
Chapter 1. What chaos engineering is not
Chapter 1. A taste of chaos engineering
Chapter 1. Summary
Part 1. Chaos engineering fundamentals
Chapter 2. First cup of chaos and blast radius
Chapter 2. Scenario
Chapter 2. Linux forensics 101
Chapter 2. The first chaos experiment
Chapter 2. Blast radius
Chapter 2. Digging deeper
Chapter 2. Summary
Chapter 3. Observability
Chapter 3. The USE method
Chapter 3. Resources
Chapter 3. Application
Chapter 3. Automation: Using time series
Chapter 3. Further reading
Chapter 3. Summary
Chapter 4. Database problem and testing in production
Chapter 4. Weak links
Chapter 4. Testing in production
Chapter 4. Summary
Part 2. Chaos engineering in action
Chapter 5. Poking Docker
Chapter 5. A brief history of Docker
Chapter 5. Linux containers and Docker
Chapter 5. Peeking under Docker’s hood
Chapter 5. Experiment 2: Killing processes in a different PID namespace
Chapter 5. Experiment 3: Using all the CPU you can find!
Chapter 5. Experiment 4: Using too much RAM
Chapter 5. Docker and networking
Chapter 5. Docker demystified
Chapter 5. Fixing my (Dockerized) app that’s being slow
Chapter 5. Experiment 5: Network slowness for containers with Pumba
Chapter 5. Other parts of the puzzle
Chapter 5. Summary
Chapter 6. Who you gonna call? Syscall-busters!
Chapter 6. A brief refresher on syscalls
Chapter 6. How to observe a process’s syscalls
Chapter 6. Blocking syscalls for fun and profit part 1: strace
Chapter 6. Blocking syscalls for fun and profit part 2: Seccomp
Chapter 6. Summary
Chapter 7. Injecting failure into the JVM
Chapter 7. Chaos engineering and Java
Chapter 7. Existing tools
Chapter 7. Further reading
Chapter 7. Summary
Chapter 8. Application-level fault injection
Chapter 8. Experiment 1: Redis latency
Chapter 8. Experiment 2: Failing requests
Chapter 8. Application vs. infrastructure
Chapter 8. Summary
Chapter 9. There’s a monkey in my browser!
Chapter 9. Experiment 1: Adding latency
Chapter 9. Experiment 2: Adding failure
Chapter 9. Other good-to-know topics
Chapter 9. Summary
Part 3. Chaos engineering in Kubernetes
Chapter 10. Chaos in Kubernetes
Chapter 10. What’s Kubernetes (in 7 minutes)?
Chapter 10. Setting up a Kubernetes cluster
Chapter 10. Testing out software running on Kubernetes
Chapter 10. Summary
Chapter 11. Automating Kubernetes experiments
Chapter 11. Ongoing testing and service-level objectives
Chapter 11. Cloud layer
Chapter 11. Summary
Chapter 12. Under the hood of Kubernetes
Chapter 12. Summary of key components
Chapter 12. Summary
Chapter 13. Chaos engineering (for) people
Chapter 13. Getting buy-in
Chapter 13. Teams as distributed systems
Chapter 13. Summary
Chapter 13. Where to go from here?
Appendix B. Answers to the pop quizzes
Appendix C. Director’s cut (aka the bloopers)
Appendix C. Chaos engineering tools comparison
Appendix C. Windows
Appendix C. Runtimes
Appendix C. Node.js
Appendix C. Architecture problems
Appendix C. The four steps to a chaos experiment
Appendix C. You should have included!
Appendix C. Real-world failure examples!
Appendix C. “Chaos engineering” is a terrible name!
Appendix C. Wrap!
Appendix D. Chaos-engineering recipes
Appendix D. Chaos pizza

Course images

Chaos Engineering, Video Edition

Sample course video

Installation Guide

After Extract, view with your favorite player.

Subtitles: None

Quality: 720p

Download link

Download Part 1 – 1 GB

Download Part 2 – 514 MB

File(s) password: www.downloadly.ir

File size

1.5 GB

Oreilly – Chaos Engineering, Video Edition 2021-3