Software that continuously monitors the operations of an application and its underlying resources using metrics, events, and logs. It alerts users of relevant issues and assists diagnosis and root cause analysis.
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Traditional APM tools monitor operational applications and their underlying resources to diagnose and help remediate issues. Data Observability applies these familiar APM functions to analytics & AI workloads.
- Kevin Petrie in Data Observability: the Path to Healthier Analytics and AI Operations
December 23, 2020 (Blog)
Information technology (IT) departments have used IT monitoring and application monitoring tools for decades. Those tools use anomaly detection, event correlation, and root cause analysis to monitor IT infrastructure (web servers, application servers, CPU, memory, storage, containers, and microservices) and applications (errors, latency, configuration problems, resource contention, and bottlenecks).
- Wayne Eckerson in Business Monitoring Systems: Using Machine Learning to Analyze Business Metrics
June 15, 2020 (Report)
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