The data analysis of genomic sequencing contains many processing steps and each step is independent. In the practice of using Kubernetes for sequencing, the main difficulties to be overcome are: (1) The traditional software installation process is complicated. (2) Data upload channel establishment & data sharing among all processing steps. (3) use k8s objects for so many steps will be tedious, so need an orchestration mechanism to automate the entire process.
Huawei Cloud architect, more than 10 years of work experience. At present, he is the technical leader of Huawei cloud application orchestration service and gene container field, leading cloud service catalog, application orchestration, and genetic container architecture design. He... Read More →
