Learn the foundations of Chaos Engineering during this remote hands-on workshop where you will plan and execute experiments in groups.
About this Event
Chaos Engineering involves running thoughtful, planned experiments that teach us how our systems behave in the face of failure. These experiments follow three steps: plan an experiment, contain the blast radius, scale or squash.
Mark Franklin & Jason Allen will lead a hands-on tutorial on Chaos Engineering, covering the tools and practices and metrics you need to implement Chaos Engineering in your organization. Even if you’re already using Chaos Engineering, you’ll learn to identify new ways to use Chaos Engineering within your engineering organization and discover how other companies are using Chaos Engineering—and the positive results they have had using chaos to create reliable distributed systems.
During this two-hour workshop, attendees will be broken up into teams of four, and each assigned a role that is critical to the Chaos Engineering Experiment process. You’ll work together as a team to plan and execute various Chaos Engineering experiments with the guidance of Mark Franklin and the Gremlin Team.
What to Bring:
- Working webcam & microphone
- Stable internet connection
Look for an email with more instructions on what you'll need to participate 48 hours before the start of the event!
Things We’ll Cover:
Laying the foundations
- What is Chaos Engineering?
- Principles of Chaos Engineering
- How to set yourself up for success
A Guide to Using Gremlin (Hands-On Lab)
- Learn how to use Chaos Engineering with provided infrastructure
- Chaos Engineering Automation: Using the Gremlin API & Integrating with CI/CD
Achieving Success: Break Through
- Tracking your Chaos Engineering practice’s success metrics
- Communicating the continuous results of your practice
Space is limited!
Mark is an experienced Solutions Architect with a demonstrated history of working in the computer software industry. Strong engineering professional skilled in Databases, Scrum, Agile Methodologies, Software Development Life Cycle (SDLC), and Software Development.