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CorrelationVector-Go provides a reference Go implementation of the CorrelationVector protocol for tracing and correlation of events through a distributed system.

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CorrelationVector for Go

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CorrelationVector-Go provides the Go implementation of the CorrelationVector protocol for tracing and correlation of events through a distributed system.

Correlation Vector

Background

Correlation Vector (a.k.a. cV) is a format and protocol standard for tracing and correlation of events through a distributed system based on a light weight vector clock. The standard is widely used internally at Microsoft for first party applications and services and supported across multiple logging libraries and platforms (Services, Clients - Native, Managed, Js, iOS, Android etc). The standard powers a variety of different data processing needs ranging from distributed tracing & debugging to system and business intelligence, in various business organizations.

For more on the correlation vector specification and the scenarios it supports, please refer to the specification repo.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.

When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repositories using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

General feedback and discussions?

Please start a discussion on the Home repo issue tracker

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CorrelationVector-Go provides a reference Go implementation of the CorrelationVector protocol for tracing and correlation of events through a distributed system.

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