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Explore tools and strategies for efficiently managing and updating dependencies in software projects, ensuring security and continuous delivery of business value.
Exploring Rust's unique features and advantages over Java, highlighting its powerful capabilities in system programming, WebAssembly, and server-side development for Java developers.
Discover how Betclic managed 100 million logins during Euro 2020 through observability, monitoring, and load testing. Learn strategies for handling exponential growth in sports betting platforms.
Explore Generational Shenandoah, an improved garbage collection system for Java that offers better latency with smaller heaps, reducing operational costs and energy consumption.
Explore Google's transition to Kotlin for server-side JVM, including challenges faced, reasons for adoption, and strategies for successful implementation.
Explore triple active architecture using Kubernetes and Cilium across AWS, GCP, and Azure. Learn about multi-cloud networking, Cilium's capabilities, and real-world implementation challenges and performance results.
Explore techniques for adapting Java codebases to Android, addressing challenges, solutions, and best practices for seamless integration of legacy projects into mobile development.
Explore Java's pattern matching features for instanceof and switch, simplifying code and enhancing productivity. Learn about future developments in this powerful language capability.
Learn load testing basics, avoid common pitfalls, and build efficient tests using Gatling and Java. Covers network protocols, application behavior, and stats for robust production-ready applications.
Discover how autonomy enhances software design and learn strategies to develop your professional independence, fostering effective relationships and trust within IT organizations.
Explore Java development on Raspberry Pi, including JavaFX for touchscreens and Pi4J for interfacing with electronic components. Learn to create smart devices and home automation solutions.
Explore advanced debugging techniques for Spring Boot applications, including startup analysis, bean configuration, remote debugging, distributed tracing, and reactive code troubleshooting.
Comprehensive analysis of datasets used to train major language models, exploring size, content, and documentation practices for GPT-1 to Gopher. Insights into AI development and dataset transparency.
Embark on an interstellar Java journey through code challenges, exploring JDK 18 features and honing your programming skills. Solve puzzles, develop concise code, and unlock the full potential of Java.
Explore Ahead Of Time and Native support in Spring Framework 6.0 and Spring Boot 3.0, including AOT engine design, library integration, and developer expectations for improved efficiency.
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