Finagle
sangria
Our great sponsors
Finagle | sangria | |
---|---|---|
24 | 5 | |
8,755 | 1,964 | |
0.2% | -0.1% | |
7.2 | 8.4 | |
1 day ago | 6 days ago | |
Scala | Scala | |
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
sangria
- GraphQL is quickly moving to one of my least favorite technologies
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How is this calculating complexity?
I am taking a look at Resolver from the Sangria GraphQL library and I cannot figure out how calcComplexity works. The code in the `Success` us really confusing to me. Where is the complexity getting calculated?
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Where is this value coming from?
I started taking a look at QueryReducer from the Sangria GraphQL library and I am having a really hard tracing the logic for rejectMaxDepth. More specifically, I don't understand why depth is a parameter to measureDepth, where it is coming from, and how the depth is being calculated in measureDepth.
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How (Not) To Build Your Own GraphQL Server
Instead of constructing an object, it uses classes to define the types and operations for the schema that it generates. The schema generated by this implementation will have the same structure as the schema created with graphql-js. Using classes to define your schema has the advantage of being less mutable and more structured when writing code. Similar implementations can be found for TypeScript with the library TypeGraphQL or Sangria GraphQL for Scala.
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What is the state of frameworks and libraries support to build microservices in scala?
As Api gateway we use sangria on top of Finagle (finch to be precise) and that has been a huge boon in making the connection between microservices and frontend seamless/safe.
What are some alternatives?
gRPC - The Java gRPC implementation. HTTP/2 based RPC
Finatra - Fast, testable, Scala services built on TwitterServer and Finagle
Netty - Netty project - an event-driven asynchronous network application framework
Scalatra - Tiny Scala high-performance, async web framework, inspired by Sinatra
OkHttp - Square’s meticulous HTTP client for the JVM, Android, and GraalVM.
Colossus - I/O and Microservice library for Scala
Akka - Build highly concurrent, distributed, and resilient message-driven applications on the JVM
Play - The Community Maintained High Velocity Web Framework For Java and Scala.
Analogweb
Lagom - Reactive Microservices for the JVM
youi - Next generation user interface and application development in Scala and Scala.js for web, mobile, and desktop.