Search Results for "java concurrency"
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Showing 14 open source projects for "java concurrency"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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From Java To Kotlin
Your Cheat Sheet For Java To Kotlin
From Java to Kotlin is a practical guide for Android developers transitioning existing codebases and habits from Java to idiomatic Kotlin. Rather than simply showing syntax translations, it emphasizes Kotlin’s expressive features—null safety, extensions, data classes, sealed hierarchies, and higher-order functions—and how to apply them sensibly. Examples illustrate side-by-side Java and Kotlin snippets, revealing opportunities to reduce boilerplate and improve readability. The guide includes... -
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JavaCore
JavaCore is a summary of experience with Java core technologies
...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. -
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RxJava
Reactive Extensions for the JVM
RxJava is a lightweight Java VM implementation of ReactiveX (Reactive Extensions). This is a library for the composition of asynchronous and event-based programs through observable sequences. It helps you write cleaner and simpler code by providing methods for solving problems quickly, and is easy to maintain and understand. RxJava works by extending the observer pattern in order to support sequences of data/events. It also allows you to compose sequences together declaratively through... -
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Chronicle Queue
Micro second messaging that stores everything to disk
Micro second messaging that stores everything to disk. With millions of users worldwide, Chronicle Queue is a leading choice for organizations of all sizes seeking a low-latency, high-performance messaging framework. The Chronicle Queue Enterprise version eliminates compatibility issues and allows for the seamless integration and sharing of data between Java, Rust, Python, and C++ libraries. Chronicle Queue is available as a fully native Java, Rust or C++ library, and also supports a Python... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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HikariCP
A solid, high-performance, JDBC connection pool at last
HikariCP is a high-performance JDBC connection pooling library designed to offer minimal overhead and maximum throughput. It aims for simplicity and stability, concentrating on fast connection acquisition and minimal latency under load. Its internals manage a pool of connections aggressively but smartly, with options such as leak detection, timeout thresholds, and adaptive connection retirement. Because it avoids heavy internal locking, it scales well in high-concurrency environments, making... -
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Android Interview Questions
Your Cheat Sheet For Android Interview
This repository is a comprehensive study guide for Android interviews, organized to cover the platform from fundamentals to advanced topics. It includes explanations and Q&A on the Android app lifecycle, activities and fragments, services, broadcast receivers, content providers, and the build system. Modern practices are addressed as well—Kotlin language features, coroutines, Jetpack components, MVVM/MVI architecture, dependency injection, and testing strategies. Performance and reliability... -
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threadandjuc
High performance three-high-import import system
...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. Its main value is giving learners a structured way to study Java concurrency beyond isolated code snippets. -
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VJTools
The vip.com's java coding standard, libraries and tools
Vipshop, which focuses on Java, has some knowledge about Java. "Alibaba Java Development Manual" is the first enterprise-level Java development manual published to the outside world, which is of great significance to the entire industry. Based on the internal experience of Vipshop, we refer to heavy materials such as "Clean Code" and "Effective Java" to add some items and make some simplifications. -
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Hystrix
Latency and Fault Tolerance for Distributed Systems
Defend your app with Hystrix, a latency and fault tolerance library developed by the Netflix API team. It works by isolating points of access to remote systems, services and 3rd party libraries, thereby stopping cascading failure and providing fallback options, and making complex distributed systems more resilient in cases where failure is inevitable. In a distributed environment, failure is simply inevitable for some service dependencies. With Hystrix you can control the interactions... -
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dribble
Adds a little bit to a Java 8 stream
Some utilities for controlling concurrency and buffering when using the Java 8 stream API. -
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The Panini Language
Better Modularity, Better Concurrency
This project makes the compiler and tools for the Panini language available. A central goal of the Panini language is to make concurrent programming easier and less error-prone. The main new feature in Panini is called a capsule. A capsule is like an actor but better because it largely retains the traditional approach for reasoning about programs as a sequence of operations, abstracts away all details of thread creation and locking, and supports fully-automatic compile-time analysis of... -
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Fast Matrix for Java
General purpose matrix utilities for Java in Parallel Computing
Fast Matrix for Java (fm4j) is a general-purpose matrix utility library for computing with dense matrices. fm4j encapsulated different underlying implementations and select the optimal one in run-time depending on the size of the input matrix. Moreover, fm4j employs Java (Tm) Concurrency to take advantage of the computation power of multi-cor processors. -
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PROJECT MOVED: https://github.com/workplacesystems/queuj Java job queue built for concurrency control, scalability, persistence and resilience,
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Concurrent agents for Java. Create multithreaded active objects using standard Java interfaces and classes without explicit use of threads, synchronization, or other concurrency primitives.
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