AIOps for Distributed Systems
Sentinel maps your stack and performs automated root-cause analysis across distributed traces to find the exact line of code behind every incident.
Deployed across high-scale clusters at
Deep observability
Move past stack traces with automated inference that connects logs, traces, and infrastructure metrics in real-time.
Our engine correlates distributed traces and code changes to identify the exact commit that triggered a regression.
Intelligent grouping prevents alert storms by consolidating related errors across microservices into a single incident.
Capture system-level data without modifying your application code. Zero-overhead monitoring for high-throughput environments.
See how errors propagate through your mesh. Sentinel automatically builds a live dependency map of your production cluster.
PII is scrubbed at the source. Sensitive data never leaves your infrastructure, keeping your compliance requirements intact.
Query production state and historical error trends directly from your terminal with our native developer tools.
Architecture
Stop chasing ghost logs. Sentinel correlates telemetry across your entire cluster to isolate the failing line of code.
Deploy our lightweight agent as a sidecar or binary. It hooks into the kernel to capture signals without manual instrumentation.
Sentinel builds a real-time graph of your microservices, mapping dependencies and traffic patterns automatically.
When a spike occurs, the AI engine filters noise and points to the specific commit and environment variable that caused the failure.
Incident response at scale
Real feedback from teams managing 1,000+ microservices in production environments.
Sentinel identified a race condition in our message queue before our PagerDuty even fired. It’s the first tool that actually understands service dependencies.
Most monitors just dump stack traces. Sentinel gives us the exact line of code and the specific deployment diff that caused the spike.
We replaced a messy stack of logs and APM with Sentinel. Our MTTR dropped by 40% because the root-cause analysis is actually automated, not just marketed as such.
It handles 50,000 events per second without breaking a sweat or blowing our budget on data retention. The noise filtering is surgical.
The trace visualization is the only one I’ve seen that makes sense of complex asynchronous distributed transactions across five different languages.
Sentinel doesn't just tell us something is broken; it shows us why it's broken. It's the difference between a fire alarm and a fire map.
Deploy Sentinel to your cluster in minutes. No credit card required for the first 14 days.