45 lines
1.8 KiB
Markdown
45 lines
1.8 KiB
Markdown
# Chaos Engineering
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- [Chaos Engineering](#chaos-engineering)
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- [Chaos Engineering Questions](#chaos-engineering-questions)
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- [Basics](#basics)
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## Chaos Engineering Questions
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### Basics
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<details>
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<summary>What is Chaos Engineering?</summary><br><b>
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[Wikipedia](https://en.wikipedia.org/wiki/Chaos_engineering): "Chaos Engineering is the discipline of experimenting on a system in order to build confidence in the system's capability to withstand turbulent conditions in production."
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[TechTarget](https://www.techtarget.com/searchitoperations/definition/chaos-engineering): "Chaos engineering is the process of testing a distributed computing system to ensure that it can withstand unexpected disruptions."
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</b></details>
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<details>
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<summary>What's a typical Chaos Engineering workflow?</summary><br><b>
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According to [Gremlin](gremlin.com) there are three steps:
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1. Planning an experiment where you design and choose a scenario in which your system should fail to operate properly
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2. You execute the smallest possible experiment to test your theory
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3. If nothing goes wrong, you scale your experiment and make the blast radius bigger. If your system breaks, you better understand why and start dealing with it
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The process then repeats itself either with same scenario or a new one.
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</b></details>
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<details>
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<summary>Cite a few tools used to operate Chaos exercises</summary><br><b>
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- AAWS Fault Injection Simulator: inject failures in AWS resources
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- Azure Chaos Studio: inject failures in Azure resources
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- Chaos Monkey: one of the most famous tools to orchestrate Chaos on diverse Cloud providers
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- Litmus - A Framework for Kubernetes
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- Chaos Mesh: for Cloud Kubernetes platforms
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See an extensive list [here](https://github.com/dastergon/awesome-chaos-engineering)
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</b></details> |