Resilient Hosting of Research Data Management Services
Description
Modern research relies on digital data services [1]. As an
infrastructure provider, it is crucial to offer a reliable and
resilient environment. Users of research data tools expect
uninterrupted access to web-based platforms and protection
from data loss or downtime. Limited availability causes re-
search delays, collaboration issues, user dissatisfaction, and
abandonment of resources. Such expectation can be met by
high availability (HA) environments for services such as data
analysis tools, data management resources (i.e., GitLab as
DataHUB [2], [3]), and even chat tools like Element. While
improving service quality, the presented approach reduces
manual intervention through automation.