4–7 Nov 2019

Fast track to chaos engineering (Day 2)

Location: M3

Who is this presentation for?

  • You're a software developer, site reliability engineer, or DevOps practitioner

Level

Intermediate

Description

Please refer to Day 1 » of this training.

Outline

  • 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
  • Establishing prerequisites to chaos engineering
  • Architecting and designing for chaos
  • Chaos and testing
  • Building a hypothesis for a chaos engineering experiment
  • Minimizing the impact of experiments: Understanding your experiment’s blast radius, scope, and opt-out
  • 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 the open source Chaos Toolkit and platform
  • Chaos at scale
  • Chaos and observability
  • Chaos and governance

What you'll learn

  • Learn to establish a culture, practice, architecture, and design that's ready for chaos engineering
  • Be able to design, build, and execute careful and controlled chaos engineering experiments to learn about weaknesses in your complex production systems
  • Discover different levels of experiments to learn about different weaknesses
  • Explore real-world examples and samples to see the concepts of chaos engineering in action
  • Oracle Cloud Infrastructure
  • Cloudflare
  • JFrog
  • Akamas
  • Aqua Security Software
  • Fastly
  • Google
  • Instana
  • JetBrains
  • LaunchDarkly
  • LightStep
  • OVHcloud
  • SignalFx
  • VictorOps
  • Wayfair
  • Blameless
  • Chronosphere
  • FusionReactor
  • humanitec
  • replex GmbH
  • StackState
  • Datadog
  • GitLab
  • Gremlin
  • StormForger
  • SysEleven GmgH
  • Vamp.io

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