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A collection of small utilities for: data extraction (text or binary files), data buffering, messagequeue control, column addition, date/time manipulation, and data recovery testing.
RedMQ is a Redis-based messaging system that is specifically designed to support flexible messaging schemes, exposing an API that allows messages to be filtered by a number of message attributes. At its core is a Python TCP server built on Asynchronous Messaging Protocol and Twisted's AMP module. This means RedMQ can support clients in any language, though only two clients - PHP and Python - have been implemented to date. The API is designed with flexibility in mind, providing native support...
AI-powered service management for IT and enterprise teams
Enterprise-grade ITSM, for every business
Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
Chomoko is a simple, light-weight, intuitive message transferring library. Pure C++ (with sockets), Open Source (GPL), Performance-Oriented, Assured (Reliable), Once Delivery, Point-to-Point, Easy to Setup and Use, Simple, and Clean
JAMSEL (Java API for Message Selection) is a high performance implementation of the JMS selection specification 1.1 for client-side filtering. The Java/C# API provides built in support for JMS, TIBCO/RV, and Hashtable data providers.
An fast Message Systeme for Queue/Broadcast based communication which implements 1.1 Java Message Service Specification.Differnet APIs and Forntends: JMS, mMsg Client/Station, Console, Custom Tags, Servlet/Applet.Support communication like XML, TCP, HTTP
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB 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.
A persistent Queue Framework. Although there are several JMS implementations we are finding that with a large number of queues their performance degrades. Hence the idea was to create a simple persistent queue framework which uses Berkley DB.
This is one small and fast JAVA implementation of java.util.queue which permanently stores queue data into files. Use of this implementation avoid use of huge JMS implementations. All read and write operations have to be on one JAVA virtual machine.