Finagle
gRPC
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Finagle | gRPC | |
---|---|---|
24 | 11 | |
8,753 | 11,162 | |
0.2% | 0.9% | |
7.1 | 9.6 | |
27 days ago | 5 days ago | |
Scala | Java | |
Apache License 2.0 | 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.
Finagle
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Features of Project Loom incorporated in Java 21
Not sure about now but a few years back the company I worked for was heavily vested in Finagle [1] using Future pools. I'm sure virtual threads would only enhance this framework. Also, Spring and it's reactive webflux would probably benefit as well [2].
[1] https://twitter.github.io/finagle/
[2] https://docs.spring.io/spring-framework/reference/web/webflu...
- Twitter Finagle: Backoff.scala
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Twitter (re)Releases Recommendation Algorithm on GitHub
Don't really see how "enterprise scala" has anything to do with this, scala is meant to be parallelized , that's like it's whole thing with akka / actors / twitter's finagle (https://twitter.github.io/finagle/)
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We switched from Scala 2 to Rust
So biased. Twitter dropping Scala3 is simply untrue, ticket is there and still is open https://github.com/twitter/finagle/issues/932
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Introduction to Bazel for Scala developers
Thank you. I only took a quick look, but this looks like a goldmine of info if you are interested in using bazel to build a scala monorepo: https://github.com/twitter/finagle
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Server Stack Options for Scala
Finagle
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Elon: "[Twitter's] recommendation algorithm was using absolute block count, rather than percentile block count, causing accounts with many followers to be dumped, even if blocks were only 0.1% of followers."
And the engineering team are far from imbeciles because they built one of the worlds' best cache and RPC microservice components. As well as the fact that up until Musk took over the website was running just fine (other than your issue with product decisions).
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Pretty incredible thread where Elon confuses how GraphQL works, thinks the Android client itself is making one thousand requests, and then publicly fires an employee who corrects him.
Bro it's their fucking project lolhttps://twitter.github.io/finagle/
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Elon Musk publicly feuding with and firing his developers on Twitter
RPC generally means server side calls, probably this https://twitter.github.io/finagle/, and XHR is not RPC.
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Pretending to know what you're talking about
not familiar with twitter internals but it would be atypical to use gql for internal communications even if you expose it as a public api. twitter also develops a widely-used RPC system https://github.com/twitter/finagle
gRPC
- FLaNK Stack Weekly 12 February 2024
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Reference Count, Don't Garbage Collect
That's not true at all. Case in point In general, this is not a problem that AGC can solve. The language can help (something Java is admittedly particularly bad at) but even so, there'll always be avenues for leaks. That's just the nature of shared things. Interestingly, in the linked grpc case, the leaked memory is only half the problem -- AGC doesn't help at all with the leaked HTTP2 connection.
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Distroless Alpine
I've trialled my new image with an existing project via JLink that's heavy on Netty and gRPC the image works great (with a small tweak to exclude grpc-netty-shaded due to grpc-java#9083).
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What are the user agents?
When developing an application, the vast majority of code is written by other people. We import that code and make use of it to get whatever we need done. In this case, the developer of an various android applications are using grpc-java.
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Buf raises $93M to deprecate REST/JSON
`proto_library` for building the `.bin` file from protos works great. Generating stubs/messages for "all" languages does not. Each language does not want to implement gRPC rules, the gRPC team does not want to implement rules for each language. Sort of a deadlock situation. For example:
- C++: https://github.com/grpc/grpc/blob/master/bazel/cc_grpc_libra...
- Python: https://github.com/grpc/grpc/blob/master/bazel/python_rules....
- ObjC: https://github.com/grpc/grpc/blob/master/bazel/objc_grpc_lib...
- Java: https://github.com/grpc/grpc-java/blob/master/java_grpc_libr...
- Go (different semantics than all of the other): https://github.com/bazelbuild/rules_go/blob/master/proto/def...
But there's also no real cohesion within the community. The biggest effort to date has been in https://github.com/stackb/rules_proto which integrates with gazelle.
tl;dr: Low alignment results in diverging implementations that are complicated to understand for newcomers. Buff's approach is much more appealing as it's a "this is the one way to do the right thing" and having it just work by detecting `proto_library` and doing all of the linting/registry stuff automagically in CI would be fantastic.
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grpc_bench: open-source, objective gRPC benchmark
Small clarification (to my understanding, I'm not a Java Guru) on why Java got on top - those Java implementations use something called Direct Executor. It's super performant when there's no chance of a blocking operation. But if you are to do anything more than echo service, you might be in trouble. Other implementations probably don't suffer from the same constraint. The related discussion can be found in this PR.
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Android Java GRPC Tutorial
clone https://github.com/grpc/grpc-java
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GRPC
If you do streaming then the best option would be to use a so called manual flow control. You can find an example here.
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High performing APIs with gRPC
Another interesting link is their official grpc-java benchmarks project, which is also used in the benchmark I've posted you.
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Java 16 EA Alpine & JLink vs Graal
Both JLink (gRPC#3522) and Graal have some issues; I'm especially concerned about the Serial GC in Graal so will be putting that under some stress soon to see if that confirms my suspicions. I'll also be good when some Java 16 JRE Alpine images appear as the JDK is too bloaty.
What are some alternatives?
Netty - Netty project - an event-driven asynchronous network application framework
Dubbo - The java implementation of Apache Dubbo. An RPC and microservice framework.
OkHttp - Square’s meticulous HTTP client for the JVM, Android, and GraalVM.
Akka - Build highly concurrent, distributed, and resilient message-driven applications on the JVM
Finatra - Fast, testable, Scala services built on TwitterServer and Finagle
Undertow - High performance non-blocking webserver
Lagom - Reactive Microservices for the JVM
KryoNet - TCP/UDP client/server library for Java, based on Kryo
Async Http Client - Asynchronous Http and WebSocket Client library for Java