Reduce MTTR
Reduce MTTR with AI-Correlated Logs and Metrics plus Automated Remediation
Everyone defines MTTR a little differently, but it all comes down to fixing problems and freeing up time to innovate. Whatever it is, fix it fast with LM Envision, AI-powered correlation, and automated remediation.
Reduce MTTR with modern monitoring, proactive data, and automation
Accelerate troubleshooting by combining logs, metrics, AI-driven insights, and automated remediation, enabling teams to swiftly identify root causes and minimize downtime.
Key Benefits:
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Unified Logs and Metrics: Centralize all observability data to eliminate tool sprawl and streamline incident response.
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AI-Powered Anomaly Detection: Leverage machine learning to detect anomalies in real-time, reducing noise and highlighting critical issues.
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Performance Monitoring from 3000+ Agents: Observe all the systems between your service and the user to avoid blind spots in the service delivery chain.
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Contextual Root Cause Analysis: Correlate alerts with relevant log data to quickly pinpoint and resolve underlying problems.
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Diagnostics and Automated Remediation: Resolve issues quickly with diagnostic data and automated incident response
90%
Less alert noiseBuilt to reduce MTTR at every layer
Eliminate guesswork and resolve issues faster with predictive and proactive observability
Access the complete picture for faster resolution
Ingest logs and metrics from every part of your stack—cloud, network, infrastructure, apps—into one platform. View log lines alongside alert timelines and resource health without switching tools or losing context.
Detect issues early with AI-driven signals
Log-based anomaly detection analyzes events at ingest—correlating patterns across cloud services, systems, and K8s pods—to surface performance degradations early and route them to the right Ops teams before SLAs are at risk.
IT metric-based alerts connect dots between symptoms and sources
Access correlated log data to add context to alerts and reduce time identifying root cause.
Triage logs with real-time pattern recognition
Import log data to LM Envision for monitoring and analysis with integrations, modules, and pre-built templates.
Uncover long-term patterns and recurring issues
Access months of enriched logs and metrics to trace back event spikes, compare system behavior pre- and post-deployment, or analyze recurring latency patterns tied to specific services.
AI agent for L1 automation
AI agents running L1 operations
Edwin AI powers L1 automation by deploying AI agents that execute first response across systems. These agents trigger runbooks, apply fixes, and move incidents forward automatically, shortening resolution time and reducing the need for escalation.
67%
ITSM incident reduction
88%
noise reduction
Measurable MTTR improvements
Less noise, faster resolution, and more time to innovate.
TRUSTED BY CUSTOMERS AND INDUSTRY LEADERS
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