3 个仓库
Tools and frameworks for building, verifying, and scaling distributed applications.
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Jepsen is a distributed systems testing framework designed to verify the correctness of distributed software. It functions as a fault injection engine and a distributed consistency analyzer that validates whether a system's behavior matches its promised consistency guarantees by analyzing operation histories against formal models. The project distinguishes itself through its ability to simulate complex failure scenarios, including network partitions, node crashes, and clock drifts. It employs packet-level traffic shaping to drop or delay communication and manipulates system time across cluste
Framework for verifying distributed systems through fault injection.
Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo
Practical patterns for scaling machine learning across distributed clusters.
A to Z Sky Operating System / Microservice Chassis Framework
Speculative algorithms for global state synchronization using probability-based metrics.