Automatically Identify Root Cause, In Plain English, Without Digging Through Logs
When critical business services go down, metrics can alert you to the issue, but identifying the root cause requires a time-consuming search through log files.
ScienceLogic Zebrium AI Log Analysis – integrated with Elastic Stack – does the heavy lifting for you, automatically performing machine learning log analysis across Elastic Stack and displaying root cause log results right inside Kibana.
Diagnose Issues 10x Faster with Automated Root Cause Analysis
Zebrium AI Log Analysis for Elastic Stack is designed to integrate seamlessly into the Elastic Stack. It does not require any complex configuration or manual training, and automatically shows you root cause log events right inside Kibana.
- See auto-detected application incidents in an elegant Kibana dashboard.
- With just a click you can view the set of correlated log events that describe the root cause.
- Provide instant feedback on incident quality and customize your incident feed.
Zebrium machine learning works by finding hotspots of abnormally correlated anomalous patterns across logs and metrics. This significantly reduces the number of false positives compared with other anomaly detection techniques.
Understand What is Happening, Even if You Don’t Speak Log
Because no two logs are alike, looking through logs is like deciphering a foreign language – even for experienced developers. Some words may look familiar, but each log has its own unique vocabulary and syntax.
- Get plain language root cause summaries based on a natural language model with Generative-AI that understands your operations
- Distill billions of log lines down to the few most salient to isolate root cause
- Visualize the most important keywords from logs that describe the root cause
Identify Unknown Unknowns Before They Cause Incidents
The complexity of modern applications makes it challenging for any person to know what could break at any given time.
With Zebrium AI Analysis for Elastic Stack your team can catch new problems without searching and building complex queries.
- Identify unusual or novel issues and associated root causes, even when you or your monitoring tool don’t know what to look for.
- Correlate unusual behavior with recent changes and performance metrics so you can understand potential business or service impact.
Customer Success Stories
Hundreds of customers already use ScienceLogic.
Here's why.