Java Performance Improved with Virtual Threads & Spring Boot 3

Java didn’t get faster. Developers finally started using it correctly. I’ve worked on multiple enterprise-scale systems, and one thing is clear— most opinions about Java are still stuck in the past. What actually changed in modern Java: ✔ Virtual Threads (Project Loom) Concurrency is no longer complex. High-throughput systems are easier to build and scale. ✔ Spring Boot 3.x + GraalVM Startup time and memory footprint are no longer excuses—Java fits well into cloud-native and serverless environments. ✔ Records & Pattern Matching Less boilerplate, cleaner models, and more maintainable codebases. What I see in real production systems: • Java handles high-volume, low-latency workloads reliably • Most performance issues come from poor design, not the language • Full stack developers (Java + React/Angular) deliver better end-to-end solutions The problem was never Java. It was how we were using it. What’s one feature in Java 17+ or Spring Boot 3 that actually improved your system in production? #Java #SpringBoot #FullStackDeveloper #Microservices #Kafka #AWS #ReactJS #Angular #BackendDevelopment #SoftwareEngineering #C2C #C2H #Hiring #JavaJobs #Azure #Gcp

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