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Unlocking the mysteries of science with Linux containers

Submitted by Roy Schestowitz on Tuesday 9th of March 2021 11:05:15 PM Filed under
GNU
Linux
Server

Running containerized web applications outside of an HPC cluster is a great way for agencies to get started while enjoying a return on their HPC hardware investment. Containers can augment the power of HPC clusters, allowing applications and their corresponding data to be used as input to larger jobs running in the HPC cluster.

A good example is the containerization of the open source Apache Kafka event streaming platform. Event streaming has the potential to be unpredictable and bursty. Containerizing Kafka to scale out to meet demand surges is not only critical to ensure messages do not get dropped, but also ensures the HPC cluster does not stall due to bottlenecks on the ingest side.

Containers allow developers to package applications with all of the necessary application files and shared library dependencies required to run those applications. They can then be easily moved from one team’s container hosts to another and even shared globally via a container registry, all of which can increase reuse and accelerate science. This can significantly reduce the time and effort required to set up HPC workloads, and makes sharing the necessary workloads easier, since all of the dependencies are stored in the highly portable container.

For example, researchers can run very fine-grained data models on their main HPC clusters while using containers for smaller, more coarse models running databases, orchestrators, user portal applications and other public-facing web apps. This is a more cost-effective means of performing research, since it would be far too expensive to run everything in the HPC cluster.

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