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Introduction As cloud-native architectures scale across thousands of containers and virtual machines, Java performance tuning has become more distributed, complex, and error-prone than ever. As highlighted in our public preview announcement, traditional JVM optimization relied on expert, centralized operator teams manually tuning flags and heap si...

Today we are announcing the Public Preview of the Azure Command Launcher for Java, a new tool that helps developers, SREs, and infrastructure teams standardize and automate JVM configuration on Azure. The goal is to simplify tuning practices and reduce resource waste across Java workloads. JVM Tuning in a Cloud-Native World Before the rise of m...

A recent issue was identified in the azure-resourcemanager libraries for Java regarding HTTP headers exceeding 8,192 bytes. Following analysis, this was addressed within the Azure SDK for Java by increasing the maximum response header size limit of “reactor-netty-http” to 256 KB, accommodating larger headers. To benefit from this mitigation, it is ...

The artificial intelligence landscape presents unprecedented opportunities for Java developers. With decades of experience building robust enterprise applications using Spring, Quarkus and Jakarta EE, Java developers are uniquely positioned to create sophisticated AI solutions. The emergence of specialized AI libraries like LangChain4j enables th...

The Java ecosystem around Azure Cosmos DB has quietly grown a lot stronger in the first half of 2024. And the updates are especially exciting if you’re working on scalable apps or exploring GenAI workloads. From new support for vector search and indexing, to better throughput management and improved integrations with Apache Kafka, Spring Data, and...