gorrs
serviceq
gorrs | serviceq | |
---|---|---|
2 | 3 | |
9 | 74 | |
- | - | |
10.0 | 2.6 | |
over 4 years ago | 5 months ago | |
Go | Go | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
gorrs
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FOSS Projects needed
Not necessarily beginner friendly, but this could use contributions: https://github.com/daluu/gorrs
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Open source Go projects to contribute (beginners)
If you're interested in test automation frameworks & tools, Robot Framework, XML-RPC, or code reflection, could use some help - bug fixes, enhancements, reviewing PR. https://github.com/daluu/gorrs
serviceq
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Open source Go projects to contribute (beginners)
https://github.com/gptankit/serviceq - a load balancer and queue (need http2 support) https://github.com/gptankit/go-wasm - wasm experiments in go (if you want to help community adapt to wasm using go)
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Looking for an open-source Golang project to work on
If interested in load balancers/proxies and networking in general, you may want to look at https://github.com/gptankit/serviceq.
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I'm trying to create a load balancer that routes based on CPU availability on server. Do you guys know the best algorithm for such a case?
When you have so many metrics to consider, ideal choice is to assign weights to each metric and let the load balancer distribute load probabilistically (think weighted random). Implemented a load balancer in Go on similar lines (https://github.com/gptankit/serviceq) by calculating 'effective error' as weight from each node and inversely distributing load to the cluster. This ensures that a) one single node doesn't get overwhelmed with all the requests and b) even if some node is down, it keeps receiving a small percentage of requests (albeit lesser and lesser as time progresses).
What are some alternatives?
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