Reduce MTTR by quickly jumping from an alert or metric into the relevant logs to rapidly spot issues.
Accelerate troubleshooting with dashboards, broad language support, and contextualized searching across all logs and data.
Rapidly pinpoint bottlenecks and failure points using powerful surround search capabilities—seeing events in complete context across all aggregated logs.
Speed triage to immediately diagnose via automated, real-time field exploration to intelligently determine related data.
Spot usage patterns with application, service, and infrastructure-aligned historical analysis of user log, AND infrastructure data.
Manage by exception by identifying variations from normal with powerful log formatting and analytic search capabilities.
See events in context with automated grouping and linking of related events.
Collaborate with all stakeholders via easy-to-use and customized dashboards and visualizations of aggregated data across the stack.
Process large volumes of data to quickly search across large and complex environments to see interconnected services, events, and issues.
Scale to massive data ingest volumes with flexible data retention to always have all data needed for proactive analytics.
Process integration across all relevant IT and application teams to avoid downtime with team solution alerting integrations like Slack, PagerDuty, and custom webhooks.