A curated list of Site Reliability and Production Engineering resources.

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• Updated Aug 28, 2025

Litmus helps SREs and developers practice chaos engineering in a Cloud-native way. Chaos experiments are published at the ChaosHub (https://hub.litmuschaos.io). Community notes is at https://hackmd.io/a4Zu_sH4TZGeih-xCimi3Q

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• Updated Nov 5, 2026
• Go

System of record for how agents build software: Built-in rust harness & 20+ CLIs.

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• Updated Nov 3, 2026
• TypeScript

A checklist of anyone practicing Site Reliability Engineering

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• Updated Mar 29, 2024

Hands on labs and code to help you learn, measure, and build using architectural best practices.

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• Updated Jan 14, 2026
• Python

Chaos Engineering Toolkit & Orchestration for Developers

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• Updated Oct 5, 2026
• Python

A curated list of Site Reliability and Production Engineering Tools

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• Updated Oct 26, 2026

Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/

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• Updated Mar 7, 2025
• Python

A programming language for libraries translated to all the others

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• Updated Nov 11, 2026
• Kotlin

Serverless chaos monkey for AWS (runs on AWS Lambda) ☁️ 💥

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• Updated Oct 26, 2023
• JavaScript

OpenShift Guide. Learn about the Red Hat OpenShift Container Platform, Data Science, Code Ready Containers, Podman, Buildah, and Kubernetes.

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• Updated Jan 4, 2024
• Python

Probabilistic Risk Analysis Tool (fault tree analysis, event tree analysis, etc.)

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• Updated Sep 19, 2023
• C++

The k6 documentation website.

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• Updated Nov 12, 2026
• Python

A curated list of awesome Site Reliability and Production Engineering resources.

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• Updated Mar 19, 2023

GOV.UK PaaS - Cloud Foundry

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• Updated Oct 1, 2025
• Go

The Chaos Toolkit core library

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• Updated Sep 27, 2026
• Python

Awesome resources for failure diagnosis research.

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• Updated Apr 26, 2026

A collection of SRE tools

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• Updated Nov 27, 2019

A Python package for survival analysis. The most flexible survival analysis package available. SurPyval can work with arbitrary combinations of observed, censored, and truncated data. SurPyval can also fit distributions with 'offsets' with ease, for example the three parameter Weibull distribution.

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• Updated Nov 12, 2026
• Python

An opinionated list of attributes and policies that need to be met in order to establish a stable software system.

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• Updated Aug 29, 2017