Why Your Code Fails Under Load — Understanding Concurrency скачать в хорошем качестве

Why Your Code Fails Under Load — Understanding Concurrency

Understanding Java concurrency is essential for any backend developer working with multithreading, Spring Boot, and distributed systems. In this video, we break down the fundamentals of processes vs threads, how the JVM thread model works, and how Tomcat executor threads handle HTTP requests in a real Spring Boot application. You’ll see a live demo showing how a simple ticket ID generator works fine with sequential requests — but fails under 100 concurrent users using Apache JMeter, causing duplicate IDs due to a classic race condition. This video explains why operations like id++ are NOT atomic, how thread interleaving causes unpredictable behavior, and why thread safety is critical in Java backend development. We also cover: ✔ Java thread lifecycle, ThreadGroups, and JVM housekeeping threads ✔ How Tomcat’s non-blocking NIO model manages concurrency ✔ Why concurrency bugs are hard to detect in development ✔ Context switching, CPU overhead, and performance implications ✔ Real-world concurrency pitfalls in microservices and cloud-native apps ✔ Best practices for designing reliable multithreaded Java applications If you’re learning Java concurrency, Spring Boot internals, Kafka, system design, or preparing for SDE interviews, this is the perfect starting point. Subscribe for more videos on Java internals, concurrent programming, distributed systems, race conditions, thread safety, and backend architecture. #java #javaconcurrency #multithreading #threadsafe #springboot #systemdesign #backenddevelopment #softwareengineering #racecondition #jmeter #distributedsystems #javathreads #microservices #cloudnative #programmingtutorial