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netflix/concurrency-limits
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I have a gRPC service in Java that sometimes gets overloaded during traffic spikes. Show me how to integrate Netflix concurrency-limits to automatically adjust the concurrent request limit and reject excess requests before latency degrades.
My service handles both live user traffic and batch background jobs. How do I configure concurrency-limits with priority groups so live traffic gets 90% of capacity and batch gets 10%?
Explain the difference between the Vegas and Gradient2 algorithms in Netflix concurrency-limits and help me choose which one to use for my Java service that auto-scales on AWS.
I want to use concurrency-limits on the client side so my service doesn't overwhelm a downstream API. Give me a code example of setting up a client-side limiter with the Gradient2 algorithm.
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