Fast track to chaos engineering
This in-depth Chaos Engineering course is an invaluable resource for those looking to improve the resilience of their Cloud systems and to develop their understanding of how Chaos Engineering can play a role in keeping their systems healthy, efficient and up-to-date.
Upon completion of this Chaos Engineering course, you will understand how Chaos Engineering helps you learn about your system so that it can be continuously improved in the face of current and future conditions.
Learn how to:
- Establish an architecture and design that is ready for Chaos Engineering
- Design, build and execute controlled Chaos Engineering experiments to learn about weaknesses in your complex production systems
- Apply different levels of experiments to learn about different weaknesses
- Explore real-world examples to see the concepts of Chaos Engineering in action
Chaos Engineering is a relatively new term for a practice that has been successfully applied by some of the largest and most complex production systems for some time. If you’re working with large-scale, complex, distributed systems or microservices and you would like to learn how to build confidence in your systems using a scientific and mature approach, this Chaos Engineering course is for you!
Programming experience and basic knowledge of the Python syntax. Exercises will be provided throughout the course that involve Python based programming.
To take part in this course you are required to bring your own laptop so that you can learn with your own tools and environment.
Designing and Applying Your First Chaos Experiments
- What is chaos engineering and why do I need it?
- Building confidence in complicated and complex systems
- Understanding and working with the emergent and novel with Cynefin chaos and microservices
- Working with experiments and chaos in practice
- Why do chaos in production?
- Establishing prerequisites to chaos engineering
- Architecting and designing for chaos
- Building a hypothesis for a chaos engineering experiment
- Chaos and testing
- Failure injection testing in context
- Minimising the impact of experiments - Understanding your experiment’s blast radius, scope and opt-out
- Idempotency and responsibility with chaos engineering experiments
- Chaos and logging
- Designing and implementing steady state monitoring for your system
- Defining a chaos engineering experiment
- Defining steady state probes
- Defining experimental methods
- Defining continuous state probes
- Defining close state probes
- Working with other people’s systems
- Running an experiment manually.
- Establish a real system that can be subjected to chaos experiments
- Automating your first experiment using Chaos Toolkit
Platform-Level Chaos Experiments
- How to focus on the platform to build chaos engineering experiments
- Brainstorming platform-level chaos engineering experiments
- Establishing platform steady state probes
- Building platform-experimental methods and continuous probes
- Establishing platform-close state probes
- Running platform experiments manually and through automation
Application-Level & Multi-level Chaos Experiments
- How to focus on the application behaviour to build chaos engineering experiments
- Brainstorming application-level chaos engineering experiments
- Establishing application steady state probes
- Building application-specific experimental methods and continuous state probes
- Establishing application close state probes
- Running application axperiments manually and through automation
- Building custom experimental steps
- Defining cross-level hypotheses and experiments
- Building and executing cross-level chaos engineering experiments
- How to establish a chaos engineering practice
- Progressing towards greater chaos maturity
There are currently no upcoming sessions, but you can contact us to book a private session.