Oracle ends support for GraalVM: A guide to alternatives

If you’re working with Java and GraalVM, heads up: Oracle is ending commercial support after JDK 24. This guide breaks down what it means and how to future-proof your stack: https://lnkd.in/gwGmh887 #Java #GraalVM

If you’re working with Java and GraalVM, heads up: Oracle is ending commercial support after JDK 24. This guide breaks down what it means and how to future-proof your stack: https://lnkd.in/dDeTj-r2 #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

⚙️ 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

Oracle is ending GraalVM support after JDK 24. The visual below compares key platforms such as vanilla OpenJDK, Azul Platform Prime, GraalVM & Semeru — across JDK features, latency, and cloud-readiness. Take a look at your options: java.azul.com/3J3PuY7 #Java #GraalVM

Java 21: the 5-minute change that boosted our throughput by 27%. We swapped a blocking REST endpoint to use virtual threads in Spring Boot. Same code, better scalability under load. What changed Tomcat thread pool stayed small, but each request got its own virtual thread DB calls still block—but now they don’t burn platform threads Tail latency dropped because queues stopped growing How to try ? Use JDK 21 Add spring.threads.virtual.enabled=true (Spring Boot 3.2+) Keep your blocking JDBC; measure before/after Results (our case) +27% throughput @ p95 ≤ previous p95 Fewer timeouts during peak hour Not a silver bullet—watch JDBC pool, DB CPU, and backpressure. Have you rolled virtual threads to prod yet? What did you see? #Java21 #SpringBoot #Performance #Microservices #Engineering

Oracle is ending GraalVM support after JDK 24. The visual below compares key platforms such as vanilla OpenJDK, Azul Platform Prime, GraalVM & Semeru , across JDK features, latency, and cloud-readiness. Take a look at your options: java.azul.com/3J3PuY7 #Java #GraalVM

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

Oracle’s Java pricing is creating budget challenges for higher ed. At Azul, we offer a smarter path: same functionality but lower costs and longer-term support. Check out this guide: https://lnkd.in/dC4cQ4zu #HigherEd #HigherEducation #OracleJava #Java

🚀 Day 1 of Advanced Java – JDBC (24 Oct 2025) Today I started learning Advanced Java, beginning with JDBC (Java Database Connectivity). 🔹 JDBC is an API that helps Java applications connect and interact with databases. Before JDBC, data was stored in files — which led to issues like lack of security, redundancy, and complex data handling. Types of JDBC Drivers: 1️⃣ Type 1 – JDBC-ODBC Bridge 2️⃣ Type 2 – Native API 3️⃣ Type 3 – Network Protocol (Middleware) 4️⃣ Type 4 – Thin (Pure Java & Most Used) Basic Steps to Connect Java with Database: Load Driver Establish Connection Create Statement Execute Queries Close Connection 🧠 Key takeaway: JDBC provides a secure and efficient way to connect Java programs with databases — a core concept for backend and full-stack developers. #Java #AdvancedJava #JDBC #LearningJourney #FullStackDevelopment #Programming #SoftwareEngineeringLevaku Lavanya Saketh Kallepu Codegnan Uppugundla Sairam