See servers, clouds, apps, patterns and anomalies — all from a single pane of glass.
Based on patent-pending log parsing and machine learning technology, LogSense integrates directly with existing workflows to automatically discover log patterns and anomalies in order to accelerate problem solving.
Collect real-time log data from your applications, servers, and cloud services: AWS/CloudWatch, fluentd, Docker, Linux, Windows, MySQL, PostgreSQL, Apache, nginx, .NET, Heroku, AppHarbor, Graphite, syslog, and more.
Patent-pending, lightning fast log parsing for structured logs and raw data (i.e., JSON and schema-less documents) without requiring a manual decode for instant log visibility, real-time analysis, and accurate alerts.
Pre-defined and custom dashboards allow you to interact with all the activity across your environment for which log events are being sent to LogSense. You can choose to view queried data as a graph, histogram, table and/or various other layouts.
LogSense automatically discovers patterns without requiring users to manually decode log files. Performs automated log grouping and pattern creation, including field types and tags for searching, alerting, and advanced charting.
LogSense automatically parameterizes data based on machine learning and historical patterns. Users can define parameter values any time, and LogSense will apply the new nomenclature to all log data instantly moving forward.
Machine and Deep Learning help identify anomalies, creating awareness of problems before users experience them. This includes error messages, app requests, slow DB queries, config changes, application variants, and more.
Time bar tuning enables users to hone in on variations in visual patterns, while granular searches are simplified by dragging and dropping parameters and adding conditions into the search field. You can save, share and refresh results in real-time.
Get real-time, accurate alerting on logs, metrics, events and anomalies instantly via Slack and other active communication services using a variety of API connectors including webhooks to warn of potential issues even before they may occur.