HSDS Docker Images

The Highly Scalable Data Service (HSDS) runs as a set of containers in Docker (or pods in Kubernetes) and like all things Docker, each container instance is created based on a container image file. Unlike say, a library binary, the container image includes all the dependent libraries needed for the container to run. In this blog post, HSDS senior architect John Readey explains how to get HSDS running in a Docker container or Kubernetes pod, and gives some tips and tricks to ensure everything runs smoothly for you. 

Deep Dive: HSDS Container Types

HSDS (Highly Scalable Data Service) is described as a “containerized” service, but how are these containers organized to create the service?

Speed up cloud access using multiprocessing!

Accessing large data stores over the internet can be rather slow, but often you can speed things up using multiprocessing—i.e. running multiple processes that divvy up the work needed. Even if you run more processes than you have cores on your computer, since much of the time each process will be waiting on data, in many cases you’ll find things speed up nicely.

2022 HDF5 Release Schedule

Interim Engineering Director Dana Robinson talks about The HDF Group’s upcoming release schedule. As some of you may already have noticed, we now post the current HDF5 release schedule in the README.md document in the project’s root on GitHub. I’ll update this as circumstances change so it always reflects our current thinking.

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