The Complete Platform for Infrastructure Intelligence
OpsTrace AI unifies monitoring, anomaly detection, incident response, and capacity planning into a single platform built for engineering teams that demand reliability at scale.
Real-Time Infrastructure Monitoring
OpsTrace AI collects metrics, logs, and traces from every layer of your stack with sub-second latency. Our lightweight agents auto-discover services, map dependencies, and provide full-stack visibility without manual configuration. From bare metal to serverless, every component is tracked.
Sub-second latency across 200+ integrationsUse Cases
SRE teams monitor 1000+ microservices with automatic topology mapping and dependency graphs
DevOps engineers track deployment health in real time with canary analysis and rollback triggers
Platform teams get unified dashboards across multi-cloud environments (AWS, GCP, Azure) from a single pane
$ opstrace analyze --module real-time
✓ Module loaded successfully
→ Processing telemetry data...
→ Running ML models...
⚡ Result: Sub-second latency across 200+ integrations
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✓ 3 use cases validated
AI-Powered Anomaly Detection
Traditional monitoring relies on static thresholds that generate noise. OpsTrace AI uses machine learning to establish dynamic baselines for every metric, detect deviations in real time, and correlate anomalies across services. The result: 90% fewer false alerts and early warning before outages.
90% reduction in alert noise with ML-powered correlationUse Cases
Engineering teams catch performance degradation hours before it impacts users
On-call engineers receive correlated alerts instead of hundreds of individual notifications
Capacity planners get AI-driven forecasts that predict resource exhaustion weeks in advance
$ opstrace analyze --module ai-powered
✓ Module loaded successfully
→ Processing telemetry data...
→ Running ML models...
⚡ Result: 90% reduction in alert noise with ML-powered correlation
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✓ 3 use cases validated
Automated Incident Response
When OpsTrace AI detects an issue, it doesn't just alert — it acts. Pre-built and custom runbooks execute automatically to resolve common failures. For complex incidents, the AI assembles context, identifies probable root cause, and routes to the right engineer with full diagnostic data.
70% of incidents resolved without human interventionUse Cases
Auto-scale infrastructure when traffic spikes are detected, preventing outages before they happen
Automatically restart failed services, clear stuck queues, and rotate unhealthy pods
Route complex incidents to the right on-call engineer with full context and suggested remediation steps
$ opstrace analyze --module automated
✓ Module loaded successfully
→ Processing telemetry data...
→ Running ML models...
⚡ Result: 70% of incidents resolved without human intervention
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✓ 3 use cases validated
Unified Query Engine
Stop switching between tools. OpsTrace AI's query engine lets you search metrics, logs, and traces with a single powerful language. Correlate a latency spike with a specific log error and trace it to the exact code path — all in one query. Results return in milliseconds, even across petabytes of data.
One query language for metrics, logs, and tracesUse Cases
Debug production issues by correlating metrics, logs, and traces in a single query
Build custom dashboards and alerts using a flexible query language that works across all data types
Run ad-hoc investigations across months of historical data with sub-second response times
$ opstrace analyze --module unified
✓ Module loaded successfully
→ Processing telemetry data...
→ Running ML models...
⚡ Result: One query language for metrics, logs, and traces
───────────────────────
✓ 3 use cases validated
Smart Alerting & Escalation
OpsTrace AI's alerting engine uses adaptive thresholds that learn your traffic patterns. Alerts are grouped, deduplicated, and enriched with context before reaching your team. Escalation policies ensure the right person is notified at the right time, with automatic re-routing if acknowledgment deadlines are missed.
Zero false positives with adaptive threshold learningUse Cases
On-call teams receive grouped, context-rich alerts instead of notification storms
Managers configure multi-tier escalation policies with automatic failover and override rules
Teams integrate alerts with Slack, PagerDuty, Opsgenie, and custom webhooks for seamless workflows
$ opstrace analyze --module smart
✓ Module loaded successfully
→ Processing telemetry data...
→ Running ML models...
⚡ Result: Zero false positives with adaptive threshold learning
───────────────────────
✓ 3 use cases validated
Integrations
Connect with your existing infrastructure and tools.
Built For
For SRE Teams
Monitor SLOs, detect anomalies, and automate incident response across your entire service mesh. OpsTrace AI gives SREs the visibility and automation they need to maintain reliability at scale.
For DevOps Engineers
Track deployments, monitor CI/CD pipelines, and get instant feedback on infrastructure changes. Canary analysis and automated rollbacks keep your releases safe.
For Platform Teams
Provide self-service observability to development teams. Centralize monitoring, standardize dashboards, and enforce alerting best practices across the organization.
Ready to Transform Your Operations?
Join 500+ engineering teams using OpsTrace AI to achieve operational excellence with AI-powered infrastructure intelligence.