-Powered Support & TroubleshootingAI
We don't replace engineers with AI. We give them AI tools to resolve incidents in minutes, not hours. L2/L3 support with LLM-assisted diagnostics.
The problem
When a P1 incident drops at 2 AM, the on-call engineer has to review logs from 15 different services, correlate events from multiple sources and decide what to do — all under pressure with half the information they need.
The difference between a 45-minute MTTR and a 3-minute one isn't having better engineers. It's having tools that do the heavy lifting of analysis, correlation and remediation suggestion before the human needs to intervene.
LLM-assisted diagnostics
The LLM analyzes logs, metrics and traces in real-time, correlates events across services and suggests probable causes with context. The engineer validates and executes — no time wasted searching for the needle in the haystack.
- Real-time log analysis and event correlation
- Root cause suggestion with historical context
- Automatic incident classification and prioritization
- Living knowledge base fed by real incidents
Continuous platform optimization
Beyond reactive troubleshooting, the LLM analyzes performance patterns to identify optimization opportunities before they become problems.
- L2/L3 support for OpenShift, OpenStack and public cloud
- Performance optimization: CPU, memory, I/O, networking
- Proactive performance degradation detection
- Tuning recommendations based on real usage patterns
“We used to take 45 minutes to escalate a P1 incident. Today, the OmniPulse team detects, classifies and remediates in under 3 minutes.”
Technologies
Modernize your support with AI
Discover how our LLM-powered support can reduce your MTTR and free your team for higher-value projects.