Log-Based Root Cause Analysis, Fueled by Unsupervised AI
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.
Skylar Automated Root Cause Analysis (RCA) does the heavy lifting for you, automatically ingesting and running machine learning (ML) log analysis across millions or billions of messages from log files across your applications. All done in real time, providing you with a human-centric Generative AI summary and remediation recommendations.
See it in Action
Request a free trial and learn how Skylar Automated RCA technology can analyze your logs and help troubleshoot incidents faster.
Diagnose Issues 10x Faster with Automated RCA
When an application breaks, it’s a race against time to get it back online. Customers are frustrated, and critical resources are pulled from other work.
- Eliminate much of the manual work required to diagnose root cause from logs using ML log analysis.
- GenAI summary and recommendations dramatically reduce time to understand what is actually broken.
- Processes enormous volumes of log messages in real-time to identify the root cause with machine learning.
- No manual training required – unsupervised machine learning produces results in less than 24 hours.
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.
- Catch new problems without manually building complex rules or scrolling through log data.
- 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.
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 engineers. Some words may look familiar, but each log has its own unique vocabulary and syntax.
- Distill billions of log lines down to the few most critical to isolate root cause.
- Get human-centric GenAI summaries and recommendations that understand your operations.
- Visualize the most important keywords from logs that describe the root cause.
See SL1 + Skylar Automated RCA Wherever You Work
Whether you are an ScienceLogic customer or interested in Skylar standalone to support automated root cause with your existing tools, flexible deployment options and integrations let you make the most of your investments.
Do more with SL1 + Skylar Automated RCA.
