Description
Learn how Selector’s Log Analytics simplify log management by enabling direct ingestion from various sources, including network, infrastructure, cloud, and applications. With real-time analysis, it filters and clusters log data, detects anomalies, and surfaces actionable insights automatically.
Explore how users can select specific time periods as well as search and filter logs easily with intuitive controls. Using Named Entity Recognition (NER), Selector extracts key metadata from logs for searching and correlation with other telemetry. ML-based clustering further groups similar logs to streamline log analysis and enhance efficiency.
Video length: 1:04
Transcript
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Narrator: Selector’s Log Analytics enables users to directly ingest logs from systems and devices.
Real-time analysis filters and clusters log data, detects anomalies and surfaces actionable insights – with no manual effort
Ingest logs from any source – from network, infrastructure, cloud or applications
Select time period to narrow down logs of interest
Easily Filter and search the aggregated logs with intuitive controls
Named Entity Recognition (NER) extracts key metadata present in the logs, which can be used for searching, or may otherwise be used for correlation with other telemetry in the system.
Behind the scenes, Selector applies ML-based clustering to group together similar logs.
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