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Amazon and Red Hat have partnered to support dynamic grid scheduling from Red Hat Enterprise MRG Grid on Amazon Elastic Compute Cloud (Amazon EC2). This cloud-based component is available through the Red Hat Enterprise Linux on Amazon EC2 offering. Amazon EC2, provided by Amazon Web Services, presents a true virtual computing environment, allowing you to use web service interfaces to obtain and boot new server instances within minutes, allowing you to quickly scale capacity, both up and down, as your computing requirements change.
AMD and Red Hat have partnered to ensure that Red Hat's implementation of AMQP in MRG Messaging is tested and scaled on AMD's hardware platforms and latest chipsets. Work items include AMQP over TCP and Infiniband interconnectivity allowing for both standard and realtime systems.
Cisco and Red Hat are working together to make sure that Red Hat's implementation of AMQP and realtime get the most out of the Cisco's latest Network gear. TCP and IB (bonded and unbounded) configurations are tested and optimized on Cisco's latest network gear. Additionally, Cisco and Red Hat have partnered to certify Cisco's AMQP-aware networking hardware with Red Hat Enterprise MRG Messaging.
HP is pleased to be a Red Hat Enterprise MRG partner. With a broad range of industry standard ProLiant and BladeSystem servers, HP has designed a unified infrastructure aimed at lowering costs and increasing performance through better management, power efficiency, and system design. Combined with Red Hat Enterprise MRG, HP ProLiant and BladeSystem servers deliver greater levels of performance, availability and reliability.
IBM has been a long-standing proponent of realtime capabilities and has been closely cooperating with Red Hat in a variety of capacities. From a kernel development perspective, IBM has been actively involved in testing and contributing both fixes and feature enhancements. IBM has developed IBM WebSphere Real Time - the only RTSJ (Real Time Standard Java) certified Linux JVM. The rigorous testing and scalability requirements necessary to successfully pass RTSJ certification is the result of extremely close co-development and testing performed jointly by the IBM and Red Hat teams. The combined offering of Red Hat's realtime kernel paired with IBM's realtime Java runtime represents a unique technology advancement - which has already been selected as the computing platform being deployed in upcoming United States Navy ships. Additionally, IBM and Red Hat have partnered to certify IBM's systems for Red Hat Enterprise MRG's Realtime kernel.
Intel and Red Hat are working together to characterize and optimize MRG Messaging, the Red Hat implementation of AMQP, on Intel hardware for standard and realtime deployments. As part of a focus on acceleration of financial messaging, the optimizations are specifically aimed to get the maximum throughput and minimum latency while best utilizing the CPU or relevant hardware in the most efficiently way, identify any hardware optimizations, and to provide performance characterization data. Applied to pre and post trade messaging, the tests will apply use cases to indicate deployment scenarios for AMQP.
Sun and Red Hat are partnering to ensure that Sun's Java Real-Time System solution on Red Hat Enterprise MRG delivers precise temporal control over the execution of Java software for predictable computing in industries such as aerospace, financial services, industrial automation, telecommunications, as well as in education and scientific research.
MRG Grid is based on the Condor Project started and hosted by the University of Wisconsin-Madison. Red Hat and the University of Wisconsin have signed a strategic partnership to release Condor under an OSI License (making it possible to be included in distributions), and co-develop together to bring innovation from the research community to the enterprise. Condor has been in active development and used by a wide community since 1988. Now, based on their joint vision of advancing open source software, Red Hat and the University of Wisconsin are collaborating to add enterprise stability and functionality to Condor, add high throughput computing capabilities to Linux, and ultimately advance and strengthen the Condor project and community.