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1
Introduction
2
Meet Mara
3
Kubernetes from an Ops perspective
4
Kubernetes from a Developer perspective
5
Kubernetes complexity
6
What is chaos engineering
7
Chaos engineering is science
8
Observation
9
Safety
10
Kubernetes
11
Master Nodes
12
Multizone Cluster
13
Node Problem Detector
14
Front End Chaos Engineering
15
Network Issues
16
Horizontal Pod Scaling
17
Recap
18
Automation
19
Resources
20
Tools
21
Why is random crashing bad
22
Machine learning algorithms
Description:
Explore chaos engineering techniques to enhance Kubernetes reliability in this 46-minute Linux Foundation webinar sponsored by Gremlin. Discover how to leverage Kubernetes's resiliency features and achieve reliability goals while addressing the increased complexity of dynamic environments. Learn about Kubernetes from both operations and developer perspectives, understand the scientific approach to chaos engineering, and delve into topics such as multizone clusters, node problem detection, front-end chaos engineering, network issues, and horizontal pod scaling. Gain insights on automation, resources, tools, and the importance of controlled testing over random crashing. Explore the intersection of chaos engineering with machine learning algorithms to ensure robust and reliable Kubernetes deployments.

Using Chaos Engineering to Ensure Kubernetes Reliability

Linux Foundation
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