Whitepaper Request: A Fully Standards-Based Approach to Logging High-Throughput Distributed Real-Time Data Leveraging the DDS and SQL Standards

Abstract:
The ability to capture run-time activity for future analysis and playback is vital to being able to debug, integrate, test, and support complex distributed systems. Unfortunately, implementing a logging capability is often very difficult and expensive because data must be captured from disparate sources, likely consists of many different native data structures, and often has a higher aggregate throughput (burst or steady-state) than can be supported by traditional commercial databases or even hard disks in some cases. As a result, distributed application developers traditionally have had to implement their own custom logging capabilities and tools to go with them.

By integrating widely-used standards and high-performance database technology, a fully standards-based and off-the-shelf approach to logging high-throughput distributed real-time data is now possible. This solution uses the Object Management Group (OMG) Data Distribution Service (DDS) standard to distribute real-time data to one or more instances of a Structured Query Language (SQL) database that provides persistent storage. When used with a memory-optimized SQL database, optionally as a cache to a traditional disk-centric database, throughput rates can be supported and sustained that are an order of magnitude higher than most legacy databases support.

Please fill out the form. The whitepaper will be sent via email as an attachment.

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