M.Sc. Bioinfo + 5 years industry exp. | Scientific computing is my passion. Currently writing a DNA sequence alignment, quasi-mapper, and graph algorithm and manuscript (for bioRxiv). I enjoy practicing math rock and samba/bossa-nova on my guitars, I write open-source software on GitHub, and I work in the DE-NJ-PA tri-state area based in Newark.
To insert highlight code inside of a post, it’s enough to use some specific tags, has directly described into the Jekyll documentation. In this way the code will be included into a .highlight CSS class and will be highlight according to the syntax.scss file. This is the standard style adopted by Github to highlight the code.
I refer the reader to the primary source2 for this discussion, a US House Oversight Committee hearing on the Coronavirus response featuring testimony from the former director of the U.S. Center for Disease Control and Prevention (CDC), Dr. Robert Redfield.
This article hopes to bring the reader up to date (ca. 2017-2022) on modern cloud-native and scalable solutions for data science and natural science research application stacks using the Docker container standard for container specification (vs Singularity, Podman, or containerd containers that are equally valid). First I will provide a brief description of the goal of Docker containers. Next I’ll touch on the kubernetes architecture for distributed data processing and application service management. Finally, I’ll describe code repository, container registries, and Markdown/Rmarkdown/LaTeX documentation as it purtains to a service’s lifespan w.r.t. notebooks and documentation of custom services and their orchestration.