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POHigh availability and scalable platform for Java/C++ on Solaris
 

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    <p>I have an application that's a mix of Java and C++ on Solaris. The Java aspects of the code run the web UI and establish state on the devices that we're talking to, and the C++ code does the real-time crunching of data coming back from the devices. Shared memory is used to pass device state and context information from the Java code through to the C++ code. The Java code uses a PostgreSQL database to persist its state.</p> <p>We're running into some pretty severe performance bottlenecks, and right now the only way we can scale is to increase memory and CPU counts. We're stuck on the one physical box due to the shared memory design.</p> <hr> <p>The really big hit here is being taken by the C++ code. The web interface is fairly lightly used to configure the devices; where we're really struggling is to handle the data volumes that the devices deliver once configured.</p> <p>Every piece of data we get back from the device has an identifier in it which points back to the device context, and we need to look that up. Right now there's a series of shared memory objects that are maintained by the Java/UI code and referred to by the C++ code, and that's the bottleneck. Because of that architecture we cannot move the C++ data handling off to another machine. We need to be able to scale out so that various subsets of devices can be handled by different machines, but then we lose the ability to do that context lookup, and that's the problem I'm trying to resolve: how to offload the real-time data processing to other boxes while still being able to refer to the device context.</p> <p>I should note we have no control over the protocol used by the devices themselves, and there is no possible chance that situation will change.</p> <hr> <p>We know we need to move away from this to be able to scale out by adding more machines to the cluster, and I'm in the early stages of working out exactly how we'll do this.</p> <p>Right now I'm looking at Terracotta as a way of scaling out the Java code, but I haven't got as far as working out how to scale out the C++ to match.</p> <p>As well as scaling for performance we need to consider high availability as well. The application needs to be available pretty much the whole time -- not absolutely 100%, which isn't cost effective, but we need to do a reasonable job of surviving a machine outage.</p> <p>If you had to undertake the task I've been given, what would you do?</p> <p><em>EDIT: Based on the data provided by @john channing, i'm looking at both GigaSpaces and Gemstone. Oracle Coherence and IBM ObjectGrid appear to be java-only.</em></p>
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