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Servers: OpenHPC, Containerd, Prometheus

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  • What is OpenHPC?

    High performance computing (HPC)—the aggregation of computers into clusters to increase computing speed and power—relies heavily on the software that connects and manages the various nodes in the cluster. Linux is the dominant HPC operating system, and many HPC sites expand upon the operating system's capabilities with different scientific applications, libraries, and other tools.

    As HPC began developing, that there was considerable duplication and redundancy among the HPC sites compiling HPC software became apparent, and sometimes dependencies between the different software components made installations cumbersome. The OpenHPC project was created in response to these issues. OpenHPC is a community-based effort to solve common tasks in HPC environments by providing documentation and building blocks that can be combined by HPC sites according to their needs. 

  • Containerd Brings More Container Runtime Options for Kubernetes

    A container runtime is software that executes containers and manages container images on a node. Today, the most widely known container runtime is Docker, but there are other container runtimes in the ecosystem, such as rkt, containerd, and lxd. Docker is by far the most common container runtime used in production Kubernetes environments, but Docker’s smaller offspring, containerd, may prove to be a better option. This post describes using containerd with Kubernetes.

  • Prometheus 2.0 Arrives with a Speedy New Local Storage Engine

    Improved local storage is at the heart of the new release of Prometheus 2.0, according to Fabian Reinartz, a CoreOS software engineer and a core developer of the Prometheus monitoring system.

    With distributed system coordination software such as Kubernetes and Mesos, monitored environments have become increasingly more dynamic, Reinartz pointed out in a blog post. The motioning software needed its own dedicated storage to ensure responsiveness in these dynamic environments.

    Though Prometheus 1.6 introduced auto-tuning capabilities, the team has been working on a more performant time-series database. “It’s just way more reliable and faster. Ideally, you don’t want to have to reconfigure all the time, so Prometheus just responds to change in demands, so there are way fewer knobs to turn for the people running it,” Reinartz said in an interview.

  • Mesosphere DC/OS Container Platform Now Available through Azure Marketplace

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