Building native images and compiling with GraalVM and sbt

This page summarizes the projects mentioned and recommended in the original post on dev.to

InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
www.influxdata.com
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Stream - Scalable APIs for Chat, Feeds, Moderation, & Video.
Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
getstream.io
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  1. sbt-dependency-graph

    Discontinued sbt plugin to create a dependency graph for your project [Moved to: https://github.com/sbt/sbt-dependency-graph] (by jrudolph)

    For further investigation, I added the sbt-dependency-graph plugin and checked out the dependency-tree with sbt dependencyBrowserTree. The library logback wasn't included in the dependency tree. Which is odd, since logback is clearly present in the project's library-dependencies.

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  3. apply-at-vdb

    The full setup can be found on Github. But I'll summarise the used stack below. The project is built around the following libraries, no particular reason, simply because I like them.

  4. sbt-assembly

    Deploy über-JARs. Restart processes. (port of codahale/assembly-sbt)

    With the sbt-assembly plugin you can create JAR-files with all of its dependencies (fat JARs). sbt assembly creates this target/scala-2.12/apply-at-vdb-assembly-0.1.0-SNAPSHOT.jar which has a size of around 42MB:

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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Did you know that Scala is
the 32nd most popular programming language
based on number of references?