When seconds matter, know exactly what broke
Causely analyzes real-time anomalies across your telemetry stack and dynamic service graph to identify the root cause of performance degradations.
Whether it’s high latency, rising error rates, or cross-service bottlenecks, Causely traces failures to their origin — revealing what’s breaking, why, and where to act. All before your users even notice.
Understand why, not just what.
From symptoms in your telemetry to root cause clarity, Causely uses Bayesian models to infer what’s breaking and why — surfacing insights directly in your workflow.
Use what you have.
See what you couldn't.
- Auto-instruments traces with OpenTelemetry and eBPF — no manual tagging or config
- Ingest from your existing tools: Datadog, Prometheus, CloudWatch, and more
- Zero code changes or sidecars required — works out of the box
- Auto-discovers services, APIs, queues, databases, and infra topology
- Processes telemetry at the edge, minimizing data movement and cost
Cut through the noise.
Get to the cause.
- Causely matches real-time symptoms to its built-in knowledge base of cloud-native failure patterns
- Explains the why behind failures — not just what failed
- Detects cascading performance issues, infra bottlenecks, and code regressions
- Traces symptoms through dynamic, complex service dependencies to pinpoint true root causes — even as environments shift
From symptoms to causal clarity — instantly
Causely doesn’t just surface anomalies — it gives you everything you need to understand and resolve it fast.
- Symptom timeline with metrics and SLO impact
- Error logs and key events, filtered to what matters
- Clear remediation steps tailored to the specific root cause
- Causality graph tracing how each symptom leads to the issue — with probabilities
Push answers into your workflow
- Slack: Post root cause summaries in real time
- Grafana: Embed RCA and service health insights in dashboards
- PagerDuty/Opsgenie: Enrich alerts with actionable context
- Jira: Auto-create issues tied to root cause and impact
- Coming soon: Agentic workflows powered by MCP to trigger remediation
Fast answers you can trust — when every second counts
Causely doesn’t just surface anomalies — it gives you everything you need to understand and resolve it fast.
- Use natural language to ask operational questions in real time
- Get clear explanations of what’s going wrong and how to fix it
- Designed for high-pressure incident workflows in Slack and Causely UI
Your environment. Your control — zero config required
- Installs in minutes via Helm or Terraform — no manual tuning or configuration
- Runs locally: processes telemetry on your infrastructure
- Minimizes data transfer by sending only symptom state (active/inactive)
- Works seamlessly across AWS, GCP, Azure, and on-prem
- No vendor lock-in, no performance overhead
Ready to Move from Reactive to Autonomous?
See why engineering teams trust Causely to deliver reliable digital experiences without the firefighting.
