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Error to trace to log to deploy. One click. No SSH.
Catch the cause before the pager goes off.
AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
Distributed messaging and streaming platform with low latency
...Built-in message tracing capability, also support opentracing. Versatile big-data and streaming ecosytem integration. Message retroactivity by time or offset. Reliable FIFO and strict ordered messaging in the same queue. Efficient pull and push consumption model. Million-level message accumulation capacity in a single queue. Multiple messaging protocols like JMS and OpenMessaging. Flexible distributed scale-out deployment architecture. Lightning-fast batch message exchange system.
Developing Queue Message admin gui based tools for OpenMQ (GlassFish JMS) / Oracle WebLogic MQ. The name of tool is QBrowserV2. It aims to implement functionality such as New Message Create/Send, Delete Messages, Forward Messages, Subscribe TOPICs.
ChrisQueue (CQ) is a JMSqueue manager and client queue implementation written in Java. Persistence is handled by Oracle, MySQL, or MSSQL Server currently. Includes code for a .NET client driver also.
JMSServer is an implementation of Java Messaging Service (JMS) API specification. Use it to send and receive messages between threads, processes and machines using well-known queue and/or publish/subscribe paradigms.
Lightweight, fast and extensible message queue bridge that can connect different message providers such as Progress Sonic MQ or IBM WebSphere MQ (former MQ Series). Plugins for JMS and MQI are provided.
MonoQLE is a Queue Server, written in C#, intended to be a fast and reliable backend for the System.Messaging namespace's implementation in Project Mono.
A JMS provider and/or Indigo integration are also in the plans.
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
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.
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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.