The transition into more complex systems is accelerating, and chaos engineering has proved to be a great-to-have option in our toolbox to handle this complexity. But the speed at which we’re developing and deploying makes it hard to keep up through manual chaos experiments, so we turn to automation.
In this session, we’ll look at how automated chaos experiments help us cover a more extensive set of experiments than we can cover manually and how it allows us to verify our assumptions over time as unknown parts of the system change.
Priority access to all content
Exclusive promotions and giveaways