Oracle drops Graal JIT, Azul Prime stands alone for performance

Oracle’s removal of the Graal JIT compiler is a big shift for Java performance. Azul Platform Prime now stands alone for teams that need low latency, high throughput, and fast warm-up. If performance matters, this blog is worth your time. #Java #JVM #JavaPerformance

Oracle’s removal of the Graal JIT compiler is a big shift for Java performance. Azul Platform Prime now stands alone for teams that need low latency, high throughput, and fast warm-up. If performance matters, this blog is worth your time. #Java #JVM #JavaPerformance

Oracle’s removal of the Graal JIT compiler is a big shift for Java performance. Azul Platform Prime now stands alone for teams that need low latency, high throughput, and fast warm-up. If performance matters, this blog is worth your time. #Java #JVM #JavaPerformance

Oracle’s removal of the Graal JIT compiler is a big shift for Java performance. Azul Platform Prime now stands alone for teams that need low latency, high throughput, and fast warm-up. If performance matters, this blog is worth your time. #Java #JVM #JavaPerformance

⚙️ Oracle has removed the Graal JIT compiler from Oracle JDK — and is now advising GraalVM users to transition to Oracle JDK or OpenJDK. So, what does this mean for organizations that rely on Java performance? It means there’s only one clear choice: Azul Platform Prime — the high-performance Java platform built to deliver speed, efficiency, and scalability. 🚀 Here’s why these matters 👇 🔹 Latency: GC pauses can significantly delay response times — sometimes by minutes. 🔹 Throughput: The efficiency of JIT compilation directly impacts how many transactions your applications can handle. 🔹 Warm-up time: Applications run slower until bytecode is compiled to native code — a faster JIT makes all the difference. ⚡ 📖 Discover how Azul Platform Prime keeps your Java workloads running at peak performance: 👉 https://bit.ly/491MO7Z #Java #AzulPlatformPrime #OpenJDK #JVM #JavaPerformance #CloudOptimization #EnterpriseTech #PerformanceEngineering #Latency #GraalVM #Azul #DigitalTransformation #Innovation #SoftwareEngineering

Just published a deep-dive on Java Memory Management , the guide I wish I had years ago. In the article, I break down: ➡️ Heap vs Native memory ➡️Thread stack sizing ➡️GC tuning (HotSpot & OpenJ9) ➡️Metaspace, class caches & direct memory ➡️Tomcat thread pool tuning ➡️Monitoring with Prometheus ➡️Real-world OOM troubleshooting Whether you run Tomcat, Spring Boot, or any JVM-based service, this is the definitive guide to avoiding hidden memory traps. Read it here: https://lnkd.in/dfDUkHs3 #Java #JVM #OpenJDK #OpenJ9 #Tomcat #SRE #Performance #DevOps #BackendEngineering

Java teams: big changes ahead. Oracle is ending GraalVM commercial support after JDK 24. This sneak peek shows how leading runtimes compare from OpenJDK to GraalVM Native Image. Full breakdown here: java.azul.com/3J3PuY7 #Java #GraalVM 

⚙️ Oracle has removed the Graal JIT compiler from the Oracle JDK—and is advising GraalVM users to transition to Oracle JDK or OpenJDK. That leaves one choice for organizations that care about Java performance: Azul Platform Prime. Why does it matter? 🔹 Latency: GC pauses can delay response times—sometimes by minutes. 🔹 Throughput: JIT compilation efficiency directly impacts how many transactions your app can handle. 🔹 Warm-up time: Apps run slower until bytecode is compiled to native code. A fast JIT matters. Read more from Azul Deputy CTO Simon Ritter in this blog: https://bit.ly/491MO7Z #Java #JVM #AzulPlatformPrime #GraalVM #PerformanceEngineering #Latency #OpenJDK #Tech

📅Day 89 of 365 Days Learned how to connect Java with MySQL using JDBC (Java Database Connectivity). JDBC acts as a bridge between Java applications and databases — it helps us execute SQL queries, retrieve data, and manage database operations directly through Java code. It’s one of the most important concepts in Java backend development, enabling seamless communication between the frontend logic and database layer. #Day89 #Java #MySQL #JDBC #BackendDevelopment #DatabaseConnectivity #CodeJourney #Programming

Why You Should Add a Name to Unique Constraints in JPA When defining unique constraints in JPA, it’s good practice to give them a name - and here’s why 👇 1. Easier debugging: When a constraint is violated, the database throws an error with the constraint name. A clear name like uk_user_email helps you identify the issue instantly. 2. Database portability: Different databases generate random names for unnamed constraints. By naming them yourself, you ensure consistency across environments. 3. Better maintainability: Named constraints make schema updates or migrations easier to manage. 📍 Always use descriptive, lowercase names like uk_table_column for clarity and convention. #SpringBoot #JPA #Hibernate #Java