Rapid Log Search And Visualization
With fast queries, real time visualization, and ML-assisted search.
Accelerate Cloud Monitoring & Troubleshooting
Troubleshoot production issues with confidence using
Logz.io’s advanced — yet easy-to-use — analytics designed
to help you surface the critical data quickly to minimize
service interruptions.
Correlate Across Logs, Metrics, and Traces
Investigate with context by unifying and correlating different signals.
Pinpoint Latency Within Application Requests
Visualize application request flows with Distributed Tracing.
Eliminate Noisy Data That Slows Troubleshooting
Identify and remove unneeded data that obscures critical insights.
Easy-To-Use, Customizable Alerting
Surface problems as they arise to begin troubleshooting.
Rapid log search and visualization
- Fast log queries, everytime: Logz.io’s high performance data pipelines ensure fast queries at any scale.
- Flexible log visualization: Analyze logs with broad visualization options to identify interesting trends and patterns.
- Automatically surface errors and exceptions: Logz.io’s human-coached ML identifies critical errors and exceptions previously flagged by real engineers.
- Pattern recognition: Scan through all your log data quickly by clustering similar logs into groups – turning millions of log lines into tens.
Correlate metrics with related logs and traces to drill into the root cause
- Investigate with context: Find spiking CPU metrics or latency in your traces? Immediately gain context around the problem by correlating across your logs, metrics, and traces to investigate the root cause of production issues.
- Change analysis: Quickly understand how changes in production affect surrounding services by cross referencing new deployments and configurations against your observability data.
Visualize the flow of application requests to pinpoint latency
- Pinpoint latency: Tracing breaks down complex application requests spanning multiple microservices so you can easily visualize and investigate latency within any operation.
- Get an overview of app performance: Get a high level view of application error rates and latency with Service Performance Monitoring, and quickly dive into details to investigate the root cause of problems.
- Compare traces to monitor changes: Compare trace data over time to understand how services respond to changes in your environment.
Eliminate noisy data that clutters monitoring analytics
Logz.io’s Data Optimization Manager makes it easy to remove noisy data that obscures the critical insights needed to troubleshoot quickly. Use Logz.io self-service tools or direct support from our Support Engineers to identify and remove noisy data.
Get alerted on critical issues
- Automated alerts: Set threshold-based alerts to monitor log, metric, or trace data – automatically surfacing performance and health issues across your whole stack, from a single host to an entire cluster.
- Send notifications to your alerting endpoints: Send notifications to Slack, Email, PagerDuty, OpsGenie, and other alerting endpoints.
- Highly customizable: Build complex alerting logic using multiple trigger conditions to limit noisy notifications.
- Schedule alerts: Easily mute alerts during upgrades, maintenance, or other specific time periods.
- Build informed response: Tap into supervised machine learning via Alert Recommendations that model and learn from ongoing investigations.
Easily add thresholds, conditions, and endpoints for alerts.
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