In an 1883 lecture on “The Practical Applications of Electricity”, Scottish physicist Lord Kelvin stated: “… when you can measure what you are speaking about, and express it in numbers, you know something about it …” High Performance Computing (HPC), therefore, inherited a healthy predisposition towards monitoring. Fast forwarding in time to the present, monitoring HPC clusters remains topical. And while I expect we can all agree upon the ongoing relevance, it is clear that there are very different perspectives as to how monitoring should be modernized. Whereas passive monitoring using meta-toolkits may address needs temporarily, unified solutions that combine monitoring with provisioning and management deliver value on an ongoing, sustainable basis.
“Bright is in markets as competitive as we’ve ever been, especially in the big data Hadoop and OpenStack private cloud spaces. I believe we will thrive in these markets because we are bringing years of relevant experience to bear in new ways that will accelerate the adoption of these new technologies. But most people today are still struggling to build and maintain their clouds and clusters using a collection of mismatched tools. We have a lot of work ahead of us, and we’re ready to roll. Onwards!”
“I think the time has come for Linux – and likely other operating systems – to develop a more robust framework that can address the needs of future hardware and meet the requirements for scheduling resources. This framework is not going to be easy to develop, but it is needed by everything from databases and MapReduce to simple web queries.”
“The goal at Airbus is to create a single fully integrated simulation-driven design process. He explained that they are developing simulation to the point where it is implemented from “conceptual design, to detailed design, all the way to the certification of the aircraft and finally to the continued development of the aircraft.”