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Trivadis Developer Blog
This is the publication playground for these guys from OIO Trivadis, the Trivadis Group`s Java experts.
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Category Archives: Java Runtimes – VM, Appserver & Cloud
Seamless integration of Docker on Windows using WSL 2?
In this post I give a short summary of using Docker on Windows and a more detailed view into the newest Docker Desktop version in combination with WSL 2. If you would like to learn the basics of WSL 2, … Continue reading
WSL 2: The new Windows Subsystem for Linux
This post gives a general introduction with focus on the new version WSL 2. It provides some basic usage principles and outlines some advantages and disadvantages. In future posts to come, I will evaluate using WSL 2 as a software … Continue reading
Re-deploy your containerized Java application on Azure
In my previous post a while ago I showed you how to deploy your dockerized Java application on Azure. It was a step-by-step introduction switching from browser to IDE, to command line (Docker CLI or Azure CLI), to the Azure … Continue reading
Was ist der Unterschied zwischen RDD, DataFrame und Dataset in Apache Spark?
Apache Spark wurde entwickelt, um eine höhere Leistung im Hadoop-Ökosystem erreichen zu können. Im Vergleich zu Hadoop soll Spark dank In-Memory-Berechnungen und weiterer Optimierungen bei der Datenverarbeitung wesentlich schneller sein. In diesem Blog will ich erklären, welche Datenstrukturen Spark mitbringt und … Continue reading
Posted in Java Runtimes - VM, Appserver & Cloud
Tagged Apache Spark, DataFrame, DataSet, RDD
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Möglichkeiten, eine Spring-Anwendung auf der Azure Cloud zu betreiben
Auf Azure gibt es unzählige Möglichkeiten, eine Java Anwendung zu betreiben. In diesem Artikel möchte ich anhand eines Beispiels vier verschiedene Methoden zeigen, wie man eine Spring Boot Applikation auf Microsoft Azure deployen kann.
How to run a containerized Java application in the cloud on Microsoft Azure
This post is not meant for any Docker/Microsoft Azure expert. But for people like me, who already wrote some Java code and may have peeked a little bit into the Docker topic. Who have never touched “the cloud”, but are … Continue reading
High performance at low cost – choose the best JVM and the best Garbage Collector for your needs
The Garbage Collector (GC) is an integral part of every Java Virtual Machine (JVM) – running in the Cloud, on a dedicated server or on your desktop/laptop. Are you aware of what impact a GC has on an application – … Continue reading
Posted in Java Runtimes - VM, Appserver & Cloud
Tagged garbage collector, GraalVM, HotSpot VM, jvm, OpenJ9, Substrate VM, Zing
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