Cut through the observability noise and pinpoint what matters

Modern engineering teams are drowning in tools, alerts, and data.

Causely finds what matters so you don't have to.

The breaking point of modern observability

Traditional tools can't keep up with the complexity of cloud native applications.

Too much noise, too little signal

Spurious alerts and overwhelming dashboards kill productivity.

Shifting dependencies

Dynamic service interactions create new failure paths and obscure root causes.

Constant change

Code ships daily; regressions go undetected.

Fragmented ownership

Incidents span teams, tools, and clouds.

Hidden bottlenecks

Small issues snowball into major outages, far from the source.

Why you need Causely

Decades of collecting observability data and drowning your team with alerts and notifications has not worked. With Causely, focus on what matters.

Spend less time troubleshooting

Automate root cause analysis to resolve issues faster and focus on what matters most.

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Eliminate escalations

Minimize labor, data, and tooling costs with faster MTTR.

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Be proactive about reliability

Predict the impact of changes to ensure reliability, performance, and user trust.

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Adapt to a changing environment

Stay ahead of traffic spikes, infrastructure drift, and scaling challenges.

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Be smarter about observability data

Collect only the data you need and avoid drowning your team in alerts and metrics.

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Autonomous reliability, built for the cloud native era

Causely eliminates the toil of reliability for distributed systems. Our causal reasoning engine automatically infers the single root cause when a storm of alerts begin to cascade through your environment.

Accelerate incident resolution

Pinpoint the root causes 75% faster — even across service boundaries. Causely’s causal graph connects symptoms to their true source, with no dashboard digging or alert sifting required.

Detect risk before incidents

Empower developers with clear context — know when a root cause lies within their service or stems from elsewhere. Spot bottlenecks and risky behaviors before they escalate.

Root Cause 2

Prevent incidents before they start

Causely identifies failure patterns early — surfacing service-level behaviors that trigger cascading issues. By breaking the chain at the source, it stops incidents before they unfold.

Fits seamlessly into your incident workflow

Push root cause and remediation context into Slack and PagerDuty in real time — auto-create Jira issues and enrich Grafana dashboards. Causely’s agentic-ready engine ensures the right teams take the right action, fast.

Slack
PagerDuty
Atlassian
Grafana
Webhooks

Get started, instantly operational

No setup, no tuning, no rip-and-replace. Causely auto-discovers your environment and starts delivering insights in seconds — all from your existing telemetry.

eBPF
OpenTelemetry
Prometheus
AWS
Azure
GCP
Datadog
Dynatrace

Reliability reimagined

Causely installs in under a minute using auto-instrumentation — no code changes required. It collects the minimal data needed to accurately infer root causes and deliver true reliability intelligence.

01

Auto-discovers your environment

Causely builds and maintains a live map of your services, infrastructure, and behaviors — no manual effort required.

02

Learns what 'normal' looks like

Understands real behavior patterns to detect anomalies without thresholds, tuning, or noise.

03

Infers root causes at machine speed

Builds a dynamic ontology of your environment and infers root causes across services and teams — instantly.

04

Delivers actionable context across the lifecycle

Pinpoints problems and predicts bottlenecks and risks — supporting incident response, planning, and reliability reviews.

Ready to Move from Reactive to Autonomous?

See why engineering teams trust Causely to deliver reliable digital experiences without the firefighting.