Autonomous Service Reliability

Stop troubleshooting. Consistently meet reliability expectations of application users in complex, cloud-native environments.

Why you need Causely

Decades of collecting observability data and drowning your team with alerts and notifications has not worked. It's time to try something different.

Spend less time troubleshooting

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

Read the blog post

Eliminate escalations

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

Be proactive about reliability

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

Monitor environment changes

Anticipate and adapt to traffic surges, hardware failures, and architecture changes.

Be smarter about observability data

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

Key features of Causely

Automate root cause analysis

Achieve continuous application reliability without complex setup, configuration or ongoing maintenance.

SLO Violation
Root Cause Analysis

Proactively prevent SLO violations

Avoid business disruption by proactively identifying and taking action on SLOs at risk due to high burn rate or remaining error budget.

Service Level Objective
Root Cause 1
Root Cause 2

Break down silos

Give service owners, software engineers, and platform operations teams shared context into operational health. Raising visibility of root causes drives cross-team alignment and faster collaboration between platform teams and service owners.

Break Down Silos

Get started, stay operational

Causely installs in seconds and uses your existing observability stack. No need to rip or replace anything. As your cloud-native environment changes, Causely automatically adapts in the background.

Datadog
OpenTelemetry
Prometheus

Works the way you do

Causely is designed to send analytics data to your favorite tools and existing investments. Automatically file Jira tickets, alert staff in PagerDuty using context about the root cause, or post a detailed message to Slack. Causely works the way you do.

Slack
PagerDuty
Atlassian
Grafana
Webhooks

How Causely works

Causely installs in a cloud-native application environment in under a minute using auto-instrumentation. It automatically maps your topology and service dependencies to start applying causal reasoning without requiring any complex configuration. You can combine Causely's default instrumentation with your existing telemetry data and observability stack, and push insights from Causely anywhere using webhooks.

01

Get started quickly

Causely installs in seconds using automatic instrumentation. Your existing observability tools can be used as data sources into Causely, no need to rip and replace anything.

02

Protect your data

Causely keeps your sensitive data in your environment, without causing any negative performance impact. Only kilobytes of boolean data get sent to our SaaS backend each minute.

03

Use causal reasoning

Causely's Causal Reasoning Platform is the core analytics engine that enables autonomous service reliability. Learn more about how Causely works

04

Integrate with everything

Users can interact with Causely's analytics via the web UI, as well as operationalize the product via its API and webhooks.

We are builders

We are builders

Our team is comprised of proven leaders and entrepreneurs. We've built companies from scratch that deliver enterprise-grade software, and we have decades of experience solving hard problems in distributed systems at scale.

Ready to ensure your service reliability?

Causely installs in minutes. Use Causely's out-of-the-box instrumentation or connect your existing observability and monitoring tools as data sources.