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Enterprise Layer Intelligence
Categories/APM & Observability/Causely
Causely

Causely

Founded 2022

Identify root causes and blast radiuses of production incidents for automated operations

Pricing model

Paid

You can use Causely to pinpoint root causes of production issues and map system dependencies across complex cloud environments. Instead of having operations agents guess or search through raw logs and metrics, it builds a live causal model from your existing telemetry data. It integrates with monitoring stacks like OpenTelemetry, Prometheus, and Datadog to identify failure paths, blast radius, and component ownership. This allows teams and automated agents to diagnose incidents faster, reduce token usage, and prevent system degradations before they reach end users.

What Causely does

Map service dependencies and failure pathsDetect root causes of application errorsQuery system context through an MCP serverCalculate blast radiuses for active incidentsIngest metrics from Prometheus and OpenTelemetryAutomate incident triage for operations agentsBuilds live causal dependency graphs across servicesIdentifies incident root causes and failure blast radiusesConnects to existing telemetry sources without new instrumentationProvides context to AI agents via an MCP serverAuto-instruments environments using eBPF technologySupports hybrid cloud and bring-your-own-cloud deployments

Pricing breakdown

Pricing model: Paid

PlanList price
Professional Edition$2,000 / mo

Frequently asked

DatadogDatadogKubernetesKubernetes

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Causely, causal reasoning, observability, root cause analysis, incident response, OpenTelemetry, Prometheus, Datadog, eBPF, SRE, operations agents, Kubernetes, blast radius, telemetry, fault diagnosis, system reliability