We instrument your entire infrastructure — from user sessions to backend services — and correlate signals with AI-powered anomaly detection. Know about problems before your customers do.
Traditional monitoring generates alerts. AI-powered monitoring surfaces insights — correlating signals across systems, predicting failures before they cascade, and routing incidents to the right team with full context, not just noise.
From infrastructure to user experience — full visibility, zero blind spots.
CPU, memory, disk, network. Real-time visibility into servers, containers, and cloud services.
Distributed tracing, transaction profiling, error tracking. Know exactly where slow requests originate.
Centralized log aggregation, full-text search, and intelligent parsing. Find the needle in the haystack.
Automated user journeys, uptime checks, and API health validation from multiple regions worldwide.
Smart escalation policies, runbook automation, and ChatOps integration. Respond faster, sleep better.
Real-time dashboards, SLA tracking, and executive reports. Visibility for everyone, from devs to leadership.
Deploy agents, integrate APM libraries, and configure log shipping. Capture telemetry from every layer.
Configure intelligent alerts based on baselines and anomalies. Reduce noise, surface what actually matters.
Automated incident creation, root cause analysis, and runbook execution. Fix faster with full context.
⏱ Typical timeline: 1–3 weeks for full observability
We integrate with your existing tools or recommend the best fit.
Let's assess your current monitoring gaps and build a comprehensive strategy.
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