Netflix Uses Java

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • falcor

    A JavaScript library for efficient data fetching

  • Interesting the article jumps straight from REST to GraphQL and forgets Falcor[0] - Netflix's alternative vision for federated services. For a while it looked like it might be a contender to GraphQL but it never really seemed to take off despite being simpler to adopt.

    [0] https://netflix.github.io/falcor/

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • dgs-codegen

  • Netflix’s DGS framework for GraphQL is nice to work with but we’ve been frustrated with some prioritization choices by the team. For instance, if you’re using Kotlin, it’s impossible to define and pass scalars to the latest version of the client. There’s a year-old issue highlighting this problem that’s been ignored it seems.

    https://github.com/Netflix/dgs-codegen/issues/455

  • Spring Boot

    Spring Boot

  • It's weird that some people including you directly attack my competence. As a power user you should have plenty of experience getting something to work that is not properly document, does not work how the documentation promised it to, or has weird problems on top of it. Look at idiotic things like this:

    https://github.com/spring-projects/spring-boot/issues/33044

    Take any similar issue and you'll see a bunch of people who try to find a solution for them because they just aren't repeatable at all. The underlying issue is the auto configuration doing things you can't follow quite properly. It's like it wasn't mean to be understood. Issues like the one I linked above also show me that the spring dev crowd also doesn't understand the ecosystem anymore. The problem is complexity and automagic.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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