Towards Observability Data Management at Scale
Suman Karumuri, Franco Solleza, Stan Zdonik, Nesime Tatbul
Abstract
Observability has been gaining importance as a key capability in today's large-scale software systems and services. Motivated by current experience in industry exemplified by Slack and as a call to arms for database research, this paper outlines the challenges and opportunities involved in designing and building Observability Data Management Systems (ODMSs) to handle this emerging workload at scale.
Topics & Concepts
ObservabilityComputer scienceWorkloadKey (lock)Scale (ratio)SoftwareData managementSoftware engineeringDatabaseData scienceOperations researchSystems engineeringComputer securityOperating systemEngineeringPhysicsApplied mathematicsMathematicsQuantum mechanicsSoftware System Performance and ReliabilityAdvanced Database Systems and QueriesService-Oriented Architecture and Web Services