AI
Control
Compute
Mesos Clusters Growing To Monster Sizes
Scale is in the eye of the beholder, and it depends on the nature of the workload. …
Control
A Decade Of Container Control At Google
Search engine giant Google did not invent software containers for operating systems, but it has helped perfect them for the Linux operating system and brought the orchestration of billions of containers across perhaps millions of servers to something of an art form. …
Cloud
Photon Container Platform Closer To Prime Time
If there is an adage that is particularly true in the technology business, it is that you can either creatively destroy your own products in the markets you come to dominate or someone else will. …
Control
Sharpening a New Fork for HPC Cluster Tuning
There is a long-running joke in high performance computing that for any question that can be asked, the answer is probably going to be “it depends.” …
Control
Kubernetes Container Juggling Reaches Towards Hyperscale
Putting legacy monolithic applications into production is like moving giant boulders across the landscape. …
Control
Tachyon Caching Is Bigger Than Spark In-Memory
When the founding committer of the Spark in-memory computing framework becomes the CEO of a company that has dropped out of stealth mode and will very likely soon be offering support for a new storage caching layer for the modern, distributed computing era that will span beyond Spark, you have to stop and take notice. …
Control
How Apache Is Losing The Web To NGINX
Some parts of the platform stack are so ubiquitous that they are almost transparent. …
Control
ARM, Open Source Feed Buzz Around HPC File System
There is but a small cadre of scalable parallel file systems and while the list might be small, weighing the relative benefits of each option against the available resources can be a challenge, as Sven Breuner and his HPC admin colleagues at the Fraunhofer Institute realized in 2004. …
Control
Docker Trickles Down From Hyperscale To Enterprise
The story for the adoption of new technologies follows a familiar narrative arc: The innovators create something, and it takes some time for the hype to die down and the software to mature and harden before it is appropriate for the rest of the market to consume. …