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Benchmark Suite #88
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I don't think we've benchmarks or suite yet for phantom. @regunathb please correct me if am wrong |
Yes, that's right. We don't have a benchmarking suite. All our benchmarking tests were run initially against an incumbent (internal source) sidecar we had at Flipkart called the W3Agent which worked over Unix Domain Sockets. |
This helps. Thanks @regunathb |
Hey, @regunathb @pmohankumar don't you think the total number of active connections will exhaust the memory before the network throttles? How much young gen memory are we talking about in this case? |
A typical deployment for a Phantom reverse proxy will be to support connections from a handful of clients and with each having tens of connections or to deploy Phantom as a side car on the same host as the client. In these cases, you will hardly see a couple of hundred active connections, which per se will not exhaust memory. What you do on these connections will saturate the network or cause Phantom to run out of memory (if you process large payloads). Btw, what is your use case/requirement on Phantom? |
@regunathb We have a service that allows use to fetch data from third party services using an adapter pattern. I wanted to add Phantom in the middle to monitor (using the Hystrix dashboard) all calls to those third party services and notify them (as a Hystrix fallback) when they are slow or not following their SLAs. Do you think it would be a good fit for the same? All third party providers onboard their service as a plugin, so we would need to dynamically onboard them to phantom as well. |
Yes, Phantom should work. For API composition from upstream calls in a declarative manner, you may also want to look at : Poseidon, https://github.com/flipkart-incubator/Poseidon/tree/master/sample#poseidon-sample |
I was not able to find a benchmarking suite for this. If there is something already available, please point me to that direction. What I am looking for is a simple suite that spins up minimal services of all/some protocols and benchmarks them against a phantom instance. Added chaos can help see how it responds to error.
If there are already published benchmarks somewhere, that can help too.
Thanks.
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