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How does Java ExecutorService actually execute async tasks? In this short video, I explain ExecutorService using a simple ...

Get an overview of ExecutorService and Executors in Java. Learn about thread pools, their benefits, and how to use them to ...

In 2022, the Helidon Team made a significant decision: re-write our Netty-based Helidon Web Server to be fully implemented ...

I recently faced a Java service outage—no CPU spike, no memory issue, no traffic surge. The culprit? Running out of available ...

The Modern Best Practice: Why the ExecutorService is the industry standard for managing thread pools, reusing resources, and ...

Reactive programming has been the way to go for extra performance and concurrent programming, now we also have Virtual ...

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Master Java concurrency with 8 battle-tested patterns: 1. Thread Pool 2. Producer–Consumer 3. Future / Promise 4. Read–Write ...

Virtual Threads are a major evolution in Java concurrency, introduced with Project Loom and stabilized in Java 21. In this video ...

Welcome to Code with Bharadwaj Code with Bharadwaj is a high-impact programming channel built for those who want to master ...

Many Java developers still use @Async and CompletableFuture—but in modern Java, this can be a serious mistake. @Async ...

Learn how Virtual Threads help achieve high concurrency. You'll also understand the scenarios when Virtual Threads are most ...

Java 21 and Java 25 mark the biggest shift in Java's evolution in years. These releases don't just add syntax sugar, they ...

Are you still writing new Thread().start() in your Java applications? If so, you might be sitting on a "ticking time bomb" of ...

`ExecutorService` (12:09-12:59, 14:34-15:13) is emphasized as the modern best practice for managing thread pools and ...

Using async annotations with blocking I/O only shifts the problem to another thread pool. Under load, this leads to thread ...

Free Mock Interview Registration Link: https://forms.gle/HUyXDgGpDcviFR299 S&P Global Java Developer Interview | 2–7 ...

... but what makes the fork/join framework so much more efficient than say a regular thread pool Well the answer is its secret sauce ...

Learn how to gracefully stop accepting new tasks, cancel pending ones, and wait for running tasks to complete using Java's ...