Adaptive Computing: A Year in Review

It has been quite a year at Adaptive Computing! We hosted another successful MoabCon, attended SC14 and learned more on why #HPCMatters, and introduced the Beta release of Moab 8.1. The Moab HPC Suite – Enterprise Edition (Moab 8.1) boosts elastic computing, and provides updates to the next-gen admin portal: Viewpoint.

We’re continuing to help customers and partners-alike accelerate insights in the business. That’s why Adaptive Computing worked with Intersect360 Research to create the following papers on manufacturing, life sciences/research, and oil and gas:

To give you even more resources, we created the following whitepapers to give a better sense of Moab’s scheduling engine and how it can improve your cluster:

Throughout the past year our blogging team comprised of engineers, board members, QA, and more brought you compelling blog posts surrounding the topics of HPC, Big Data, Open Source, and Cloud. In no particular order, read the top five blog posts from the year:

Visualizing Torque

Visualize what is happening inside a Torque system with the help of GUI tools and the evolving TorqueView prototype. TorqueView lets you choose which Torque data to access and display in its tab panels, either from a local host, a remote host, or a snapshot file.

Adaptive Computing’s DevOps Tool: Docker

Explore the value of implementing various DevOps practices that Adaptive Computing has discovered, including the Linux Container Engine tool, Docker. Thinking about containerizing, everything starts with the Dockerfile. The Dockerfile is basically an instruction set for our container.

The Gauntlet – Standards for Writing Code

We formalized our process for writing code and testing it. Now, all code must pass The Gauntlet before making it back into master. Once a branch believes it’s ready to merge back to the master it must first sync itself against the master code and resolve any conflicts, so that merging back to master is simple addition.

Looking into Logs with Logstash

Gain greater insight into your already running servers with monitoring tools, like logstash. The health of systems is tightly coupled with the speed that abnormalities can be identified and addressed. Evaluate how utilizing monitoring tools could help fine-tune the systems that you manage.

Musings on HPC and Docker

Scheduled could begin utilizing cutting edge tools like Docker and the HPC space should be taking advantage of Docker and containers. Containers could be spun up when the job needs them and taken offline when no license dependent jobs require them allowing other containers running unlicensed job to continue.

Get more news from the Adaptive Computing team by following our blog >>

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