<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>EclipseStore on JAVAPRO International</title><link>https://javapro-en.svenruppert.com/tags/eclipsestore/</link><description>Recent content in EclipseStore on JAVAPRO International</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Wed, 08 Apr 2026 07:00:02 +0000</lastBuildDate><atom:link href="https://javapro-en.svenruppert.com/tags/eclipsestore/index.xml" rel="self" type="application/rss+xml"/><item><title>High-Performance Vector-Search Grids with Java</title><link>https://javapro-en.svenruppert.com/high-performance-vector-search-grids-with-java/</link><pubDate>Wed, 08 Apr 2026 07:00:02 +0000</pubDate><guid>https://javapro-en.svenruppert.com/high-performance-vector-search-grids-with-java/</guid><description>&lt;p&gt;&lt;a href="https://youtu.be/MRSdUfnXgQE"&gt;&lt;figure class="post-figure"&gt;
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&lt;p&gt;The rapid rise of Generative AI has fundamentally changed how modern systems are designed. While much of the attention has focused on large language models and inference pipelines, the real differentiator in production systems lies elsewhere: in the infrastructure that delivers context to those models. Retrieval-Augmented Generation (RAG) has become the de facto pattern for enterprise GenAI. It relies on fast, scalable access to embeddings, metadata, and relationships. Yet for Java developers, building such systems at scale has remained a challenge. External vector databases introduce latency, fragmentation, and operational complexity. Distributed caches struggle with memory inefficiency and serialization overhead. Traditional databases cannot handle high-dimensional similarity search at the required speed.&lt;/p&gt;</description></item><item><title>Caching and Beyond: Smarter Data Processing with Java - in 2 Hours</title><link>https://javapro-en.svenruppert.com/caching-and-beyond-smarter-data-processing-with-java-in-2-hours/</link><pubDate>Thu, 02 Apr 2026 11:45:01 +0000</pubDate><guid>https://javapro-en.svenruppert.com/caching-and-beyond-smarter-data-processing-with-java-in-2-hours/</guid><description>&lt;p&gt;Many Java teams start simple — a single database, a straightforward architecture. But as systems evolve, so does the stack: caching layers to improve performance, search engines for faster queries, additional databases for specialized use cases, and now vector stores for AI-driven features.&lt;/p&gt;
&lt;p&gt;What begins as optimization often turns into a fragmented landscape of technologies. The result: increasing complexity, higher infrastructure costs, and growing DevOps overhead.&lt;/p&gt;
&lt;p&gt;The session &lt;em&gt;“&lt;a href="https://schedule.jcon.one/2026/session/1153509"&gt;Caching and Beyond – Smarter Data Processing with Java&lt;/a&gt;”&lt;/em&gt; at JCON EUROPE takes a different approach. Instead of adding more tools, it focuses on simplifying data architectures — using a clean, Java-centric model built on open-source technologies.&lt;/p&gt;</description></item><item><title>Build Vector Database Apps with Pure Java</title><link>https://javapro-en.svenruppert.com/build-vector-database-apps-with-pure-java/</link><pubDate>Thu, 02 Apr 2026 07:00:01 +0000</pubDate><guid>https://javapro-en.svenruppert.com/build-vector-database-apps-with-pure-java/</guid><description>&lt;p&gt;&lt;a href="https://youtu.be/MRSdUfnXgQE"&gt;&lt;figure class="post-figure"&gt;
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&lt;p&gt;The Java ecosystem is entering a new phase. Generative AI is no longer experimental; it is becoming a foundational capability in enterprise systems. Yet while frameworks for inference and orchestration have matured, one critical bottleneck continues to slow down adoption: data access for semantic retrieval.&lt;/p&gt;
&lt;p&gt;At the heart of modern GenAI systems lies Retrieval-Augmented Generation (RAG). This paradigm depends on fast access to embeddings - high-dimensional vectors that represent meaning. For Java developers, integrating this capability has historically meant introducing an external vector database into the architecture. What appears to be a straightforward design decision quickly becomes a source of complexity, inefficiency, and architectural friction.&lt;/p&gt;</description></item><item><title>Free Java Training Videos Now Available: From Fundamentals to Modern Frameworks</title><link>https://javapro-en.svenruppert.com/new-java-training-playlists-now-available-from-fundamentals-to-modern-frameworks/</link><pubDate>Wed, 01 Apr 2026 12:00:01 +0000</pubDate><guid>https://javapro-en.svenruppert.com/new-java-training-playlists-now-available-from-fundamentals-to-modern-frameworks/</guid><description>&lt;p&gt;A comprehensive collection of Java training videos is now publicly available, offering developers valuable insights into modern backend technologies and frameworks.&lt;/p&gt;
&lt;p&gt;The playlists cover key topics including &lt;strong&gt;Spring Boot, Quarkus, Helidon, Payara, EclipseStore, and MicroStream&lt;/strong&gt;, providing both a strong foundation and deeper technical understanding. The content is designed for developers at all levels—from those starting with modern Java frameworks to experienced engineers looking to refine their expertise.&lt;/p&gt;
&lt;h2 id="structured-learning-across-the-java-ecosystem"&gt;Structured Learning Across the Java Ecosystem&lt;/h2&gt;
&lt;p&gt;Rather than presenting isolated tutorials, the playlists follow a structured approach that helps developers build a coherent understanding of essential concepts such as dependency injection, microservices architecture, data persistence, and performance optimization.&lt;/p&gt;</description></item><item><title>High-Demand Workshops at JCON EUROPE 2026 – Tickets Available Now</title><link>https://javapro-en.svenruppert.com/high-demand-workshops-at-jcon-europe-2026-tickets-available-now/</link><pubDate>Mon, 16 Mar 2026 12:00:01 +0000</pubDate><guid>https://javapro-en.svenruppert.com/high-demand-workshops-at-jcon-europe-2026-tickets-available-now/</guid><description>&lt;p&gt;&lt;strong&gt;Cologne&lt;/strong&gt; – JCON EUROPE returns to its venue from April 20-23, once again offering an extensive program for Java enthusiasts. In addition to over 100 speakers and sessions, Monday, April 20, is fully dedicated to hands-on, expert-led &lt;a href="https://schedule.jcon.one/2026/schedule"&gt;workshops&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;Each workshop is a two-hour deep dive into cutting-edge technologies and real-world development topics. Participants can choose from a total of seven different sessions across two time slots: 1:00–3:00 PM and 4:00–6:00 PM. A coffee break in between provides room for informal networking.&lt;/p&gt;</description></item><item><title>EclipseStore 4.0.0 Beta 1: Build Java vector database Apps</title><link>https://javapro-en.svenruppert.com/eclipsestore-4-0-0-beta-1-build-java-vector-database-apps/</link><pubDate>Mon, 16 Feb 2026 12:19:02 +0000</pubDate><guid>https://javapro-en.svenruppert.com/eclipsestore-4-0-0-beta-1-build-java-vector-database-apps/</guid><description>&lt;p&gt;The first beta of &lt;strong&gt;EclipseStore 4.0.0&lt;/strong&gt; is now available, marking a major evolution of the Java-nativ persistence engine. With this version, EclipseStore has integrated the high-performance vector similarity search engine JVector and therefore becomes an embedded Java vector database engine that runs within the same JVM process as your GenAI app. With EclipseStore 4, Java developers can now build powerful GenAI apps with pure Java, without the need to use external vector databases. This makes the entire development process of GenAI apps very convenient and significantly faster, simplifying testing and deployment.&lt;/p&gt;</description></item><item><title>Eclipse Data Grid: The Java-Native In-Memory Data Platform</title><link>https://javapro-en.svenruppert.com/eclipse-data-grid-the-java-native-in-memory-data-platform/</link><pubDate>Thu, 10 Jul 2025 12:00:02 +0000</pubDate><guid>https://javapro-en.svenruppert.com/eclipse-data-grid-the-java-native-in-memory-data-platform/</guid><description>&lt;h2 id="supercharging-java-applications-with-distributed-in-memory-processing"&gt;Supercharging Java Applications with Distributed In-Memory Processing&lt;/h2&gt;
&lt;p&gt;Modern applications increasingly demand low-latency access to complex data. While relational databases remain an indispensable component of most systems, they often struggle to keep up with these performance requirements.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Eclipse Data Grid&lt;/strong&gt; addresses this challenge with a powerful, distributed in-memory data layer designed specifically for Java developers. Rather than serving merely as a cache, Eclipse Data Grid combines high-speed storage, indexing, querying, and transactional persistence—providing a seamless bridge between fast in-memory operations and durable storage.&lt;/p&gt;</description></item><item><title>Optimizing Java Performance: Caching with Core Java Instead of Complex Frameworks</title><link>https://javapro-en.svenruppert.com/optimizing-java-performance-caching-with-core-java-instead-of-complex-frameworks/</link><pubDate>Mon, 05 May 2025 07:00:02 +0000</pubDate><guid>https://javapro-en.svenruppert.com/optimizing-java-performance-caching-with-core-java-instead-of-complex-frameworks/</guid><description>&lt;p&gt;Slow Java applications are a well-known problem in many projects: delays caused by ORM, complicated caching structures, and overloaded databases slow down performance. At &lt;a href="https://2025.europe.jcon.one/"&gt;JCON EUROPE 2025&lt;/a&gt;, the two-hour workshop “&lt;a href="https://schedule.jcon.one/?selectedSession=797351"&gt;High-Performance Caching with Pure Java: Supercharge Your Sluggy Database Application&lt;/a&gt;” will show how to specifically solve these problems — exclusively with Core Java, without additional frameworks or cloud services.&lt;/p&gt;
&lt;h2 id="hands-on-caching-and-queries-at-maximum-speed"&gt;Hands-on: Caching and Queries at Maximum Speed&lt;/h2&gt;
&lt;p&gt;Participants will learn how to develop a high-performance caching and query layer themselves — lean, memory-efficient, and directly in Java. The goal is to eliminate typical performance bottlenecks in database-based applications and increase system speed many times over.&lt;/p&gt;</description></item><item><title>Dynamic Caching for Massive Workloads: Pure Java Solutions First-Hand</title><link>https://javapro-en.svenruppert.com/dynamic-caching-for-massive-workloads-pure-java-solutions-first-hand/</link><pubDate>Tue, 29 Apr 2025 08:54:00 +0000</pubDate><guid>https://javapro-en.svenruppert.com/dynamic-caching-for-massive-workloads-pure-java-solutions-first-hand/</guid><description>&lt;p&gt;Many Java developers encounter the limitations of traditional caching and database solutions when dealing with large amounts of data and dynamically growing workloads. Heavyweight systems often prevent flexible scaling or unnecessarily increase infrastructure costs.&lt;/p&gt;
&lt;p&gt;The session &lt;strong&gt;&amp;quot;&lt;a href="https://schedule.jcon.one/session/851487"&gt;High-Performance Caching with Pure Java – Part 2: Managing Gigantic Workloads&lt;/a&gt;&amp;quot;&lt;/strong&gt; at JCON EUROPE 2025 presents an approach that does things differently: Instead of complex architectures, this approach relies on pure Java – lean, scalable, and powerfull.&lt;/p&gt;</description></item><item><title>Goodbye to ORM Pain: EclipseStore Hands-On with the Lead of the Open-Source Project</title><link>https://javapro-en.svenruppert.com/eclipsestore-hands-on-say-goodbye-to-orm-pain-experience-it-yourself/</link><pubDate>Thu, 24 Apr 2025 12:19:17 +0000</pubDate><guid>https://javapro-en.svenruppert.com/eclipsestore-hands-on-say-goodbye-to-orm-pain-experience-it-yourself/</guid><description>&lt;p&gt;Many Java developers are all too familiar with the downsides of traditional ORM frameworks: performance bottlenecks under scale, complex serialization, and recurring issues when refactoring persistent object models. If you&amp;rsquo;re looking for a modern, high-performance alternative, EclipseStore deserves a closer look – and not just in theory, but in practice.&lt;/p&gt;
&lt;h3 id="experience-eclipsestore-in-action--led-by-a-core-contributor"&gt;&lt;strong&gt;Experience EclipseStore in Action – Led by a Core Contributor&lt;/strong&gt;&lt;/h3&gt;
&lt;p&gt;At this year’s &lt;a href="https://2025.europe.jcon.one/"&gt;JCON EUROPE 2025&lt;/a&gt;, you’ll have a unique opportunity to get hands-on with EclipseStore. &lt;strong&gt;Florian Habermann&lt;/strong&gt;, CTO of MicroStream Software and a core contributor to EclipseStore, is hosting a &lt;a href="https://schedule.jcon.one/session/797351"&gt;&lt;strong&gt;two-hour practical workshop&lt;/strong&gt;&lt;/a&gt;. Rather than sitting through slides, participants will actively code – in their own IDEs, with Java, and against production-relevant use cases.&lt;/p&gt;</description></item><item><title>Exploring Cost-Effective Solutions for Stateful Rest Services</title><link>https://javapro-en.svenruppert.com/exploring-cost-effective-solutions-for-stateful-rest-services/</link><pubDate>Tue, 30 Jul 2024 12:30:00 +0000</pubDate><guid>https://javapro-en.svenruppert.com/exploring-cost-effective-solutions-for-stateful-rest-services/</guid><description>A cost-effective approach to implementing stateful REST services using IBM Cloud Code Engine, EclipseStore, and IBM Cloud Object Storage, highlighting their integration and scalability benefits for enterprise applications.</description></item><item><title>Minimize Costs by Utilizing Cloud Storage with Spring-Data-Eclipse-Store</title><link>https://javapro-en.svenruppert.com/minimize-costs-by-utilizing-cloud-storage-with-spring-data-eclipse-store/</link><pubDate>Mon, 29 Jul 2024 07:52:28 +0000</pubDate><guid>https://javapro-en.svenruppert.com/minimize-costs-by-utilizing-cloud-storage-with-spring-data-eclipse-store/</guid><description>How to save money storing data in Cloud blob-stores instead of expensive databases through the use of the open-source Spring-Data-Eclipse-Store library.</description></item></channel></rss>