Search Results for "timers"

Orleans builds on the developer productivity of .NET and brings it to the world of distributed applications, such as cloud services. Orleans scales from a single on-premises server to globally distributed, highly-available applications in the cloud. Orleans takes familiar concepts like objects, interfaces, async/await, and try/catch and extends them to multi-server environments. As such, it helps developers experienced with single-server applications transition to building resilient,...

...The system is highly configurable: you can define per-filetype makers, chain multiple tools, and control when they run (on save, on write, on cursor hold, or manually). Run several makers concurrently and aggregate results. Because it uses job control and timers, it scales well on large codebases and keeps the editor responsive. It’s useful both as a general “make” front end and as a diagnostic engine for code quality. Async execution of linters, compilers, and test commands via “makers”. Teams often adopt it to standardize checks across languages while keeping developers inside Vim.

...App Metrics provides various metric types to measure things such as the rate of requests, counting the number of user logins over time, measuring the time taken to execute a database query, measuring the amount of free memory, and so on. Metrics types supported are Apdex, Gauges, Counters, Meters, Histograms, and Timers. Support Push and Pull based metrics collection via TSDB-specific reporting extensions and exposing metrics in the required format over HTTP.

...Instead, we focus on compatibility with evergreen browsers, Node.js LTS versions and recent Safari versions. The most up-to-date reference on which runtimes and browsers we support can be found by looking at our compatibility docs. Fake timers are synchronous implementations of setTimeout and friends that Sinon.JS can overwrite the global functions with to allow you to more easily test code using them. A test spy is a function that records arguments, return value, the value of this and exception thrown (if any) for all its calls. There are two types of spies: Some are anonymous functions, while others wrap methods that already exist in the system under test. ...

asyncoro is a Python framework for developing concurrent, distributed, network programs with asynchronous completions and coroutines. Asynchronous completions implemented in asyncoro are sockets (non-blocking sockets), database cursors, sleep timers and locking primitives. Programs developed with asyncoro have same logic and structure as Python programs with threads, except for a few syntactic changes. asyncoro supports socket I/O notification mechanisms epoll, kqueue, /dev/poll (and poll and select, where necessary), and Windows I/O Completion Ports (IOCP) for high performance and scalability, and SSL for security

...It presents handy and practical facilities, including following: advanced smart pointers (strong and weak handles), set of containers (array, list, map, sector, cycle buffer, priority queue), own powerful signal/slot mechanism (signal can connect with slots in other threads), functors and functor's map, threads and timers, state machines, input/output streams and serialization, serial port, sockets and so on. Apparat is a set of C++ source files, that can be compiled with your project. Folder 'test' in source tree contains some examples of using Apparat. For assembling your projects I am suggesting my own project management system based on standard 'make'. ...

Development library for distributed programming. Spitfire provides an easy to use set of tools for managing processes and their communication. You just need to define the interfaces and behaviour of the processes; everything else is already done :-D

This project provides runtime performance monitoring and reporting for Java applications. It includes a simple API with timers and counters, data persistence, support classes and aspects (AspectJ & Spring AOP), and a reporting web application.