Search Results for "thread pools"

workerpool is a JavaScript library that simplifies the creation and management of worker threads and process pools for parallel task execution in Node.js and browser environments. The project provides an abstraction layer that allows developers to offload CPU-intensive operations to background workers without manually handling thread communication or lifecycle management. It supports task queuing, dynamic worker scaling, timeouts, transferable objects, and proxy-based APIs for interacting with worker functions as if they were local calls. workerpool is designed to improve application responsiveness and throughput in workloads involving heavy computation, data processing, or asynchronous execution. ...

...Separate sections explain collections, streams, traditional I/O, NIO, serialization, sockets, and networking. Its concurrency coverage includes threads, locks, atomics, thread pools, concurrent containers, synchronization, and the Java Memory Model. JVM chapters address memory, garbage collection, bytecode, class loading, diagnostics, monitoring, and performance tuning.

...Micrometer provides vendor-neutral interfaces for timers, gauges, counters, distribution summaries, and long task timers with a dimensional data model that, when paired with a dimensional monitoring system, allows for efficient access to a particular named metric with the ability to drill down across its dimensions. Out-of-the-box instrumentation of caches, the class loader, garbage collection, processor utilization, thread pools, and more tailored to actionable insight. Micrometer is the instrumentation library powering the delivery of application observability from Spring Boot applications.

...It lets readers compare standard blocking I/O, NIO, AIO, and Netty implementations of similar network programs. The repository includes echo, discard, time, TCP, UDP, HTTP, HTTP/2, and WebSocket examples. Additional samples explain ByteBuffer, ByteBuf usage modes, thread pools, the Reactor pattern, heartbeat handling, and custom codecs. Serialization demonstrations cover Java objects and JSON through Jackson. Security examples include SSL/TLS mutual authentication, while monitoring modules show a lightweight service and interface. The project uses Netty 4.1.52, Jackson 2.10.1, and JUnit 5.5.2.

...It is designed to help developers understand how Java concurrent programming works through examples, explanations, and practical project-style demonstrations. The project covers topics such as threads, locks, synchronization, thread pools, concurrent collections, and high-performance data handling. It is especially useful for Java developers preparing for interviews or improving their understanding of production-level concurrency patterns. Some material also explores large-scale import and high-throughput reporting scenarios, connecting theory to real performance problems. ...