JBCNConf 2022: A great farewell

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

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  • hidden-gems

    Code sample for hidden gems (by ammbra)

  • Ana-Maria Mihalceanu made a great talk with live coding on how to do distributed tracing using jaeger and opentelemetry. She explained how open telemetry tracing works and different sampling approaches. All the code is available at GitHub: https://github.com/ammbra/hidden-gems. At this talk, I also discovered RedHat Free Sanbox

  • Graal

    GraalVM compiles Java applications into native executables that start instantly, scale fast, and use fewer compute resources 🚀

  • I worked with Micronaut back in 2019-2020, and I liked it but putting my taste aside, the work they are doing to enable full integration with GraalVM deserves a watch. Suppose you are a developer using Spring or Quarkus and haven't tested Micronaut. Give it a try. Alvaro Sánchez-Mariscal introduced a bit of the framework idea and GraalVM project and made a small demo.

  • 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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  • awesome-mlops

    A curated list of references for MLOps

  • She made mentions to ML-Ops and MLFlow including Vertex AI the GCP implementation. I will post the video as soon as it is available. In the meantime, you can enjoy any other talk from Nerea Luis

  • MLflow

    Open source platform for the machine learning lifecycle

  • She made mentions to ML-Ops and MLFlow including Vertex AI the GCP implementation. I will post the video as soon as it is available. In the meantime, you can enjoy any other talk from Nerea Luis

  • Micronaut

    Micronaut Application Framework

  • I worked with Micronaut back in 2019-2020, and I liked it but putting my taste aside, the work they are doing to enable full integration with GraalVM deserves a watch. Suppose you are a developer using Spring or Quarkus and haven't tested Micronaut. Give it a try. Alvaro Sánchez-Mariscal introduced a bit of the framework idea and GraalVM project and made a small demo.

  • vertex-ai-samples

    Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

  • She made mentions to ML-Ops and MLFlow including Vertex AI the GCP implementation. I will post the video as soon as it is available. In the meantime, you can enjoy any other talk from Nerea Luis

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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