Performance Optimization Suite for gRPC: Load Testing and Response Metrics Analysis
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- Table Of Contents
- About The Project
- Built With
- Getting Started
- Usage
- Roadmap
- Contributing
- License
- Authors
- Acknowledgements
This tool is designed to provide comprehensive load testing for gRPC services, allowing developers to simulate various levels of load and analyze server response metrics. By offering real-time insights into latency, throughput, and stream message transmission, it enables the identification and mitigation of performance bottlenecks. The tool's robust testing capabilities ensure that new code does not introduce performance regression, and it plays a vital role in meeting required concurrency and inference response times. Integrated with visualizations and intuitive dashboards, it offers a complete solution for optimizing gRPC service performance and reliability.
This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.
This program has no pre-requisites
- Clone the repo
git clone https://github.com/oslabs-beta/gRPSeek
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Install dependencies
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Have fun!
Coming Soon!
See the open issues for a list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.
- If you have suggestions for adding or removing projects, feel free to open an issue to discuss it, or directly create a pull request after you edit the README.md file with necessary changes.
- Please make sure you check your spelling and grammar.
- Create individual PR for each suggestion.
- Please also read through the Code Of Conduct before posting your first idea as well.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature
) - Commit your Changes (
git commit -m 'Add some AmazingFeature'
) - Push to the Branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
Distributed under the MPL-2.0 License. See LICENSE for more information.
Coming Soon!