In HEP experiments at LHC the database applications often become complex, reflecting the increasingly demanding requirements of the researchers. The ATLAS experiment has several Oracle DB clusters with over 216 database schemes each with its own set of database objects. To effectively monitor them, we designed a modern and portable application with exceptionally good characteristics. Some of them include: A concise view of the most important DB metrics; a list of top SQL statements based on CPU, executions, block reads, etc.; volume growth plots per schema and DB object type; a database jobs section with signalization for failures; and in-depth analysis in case of row-lock contention or DB sessions.
This contribution also describes the technical aspects of the implementation. The project can be separated into three independent layers. The first layer consists in highly-optimized database objects hiding all complicated calculations. The second layer represents a server providing REST access to the underlying database backend. The third layer is a JavaScript/AngularJS web interface. In addition, we will summarize the continuous integration cycle of the application, which uses GitLab-ci pipelines for basic testing, containerization and deployment on the CERN Openshift infrastructure.
Atomic instructions random tests generation using lock contention analysis
