Causal Reasoning

Assuring service reliability is hard

Cloud-native applications typically involve highly distributed systems with numerous interdependent services. When a problem occurs, observability tools may detect dozens or hundreds of anomalies. This complexity can lead to many symptoms appearing simultaneously or in a cascade, making it challenging to determine which are causal and which are merely consequential.

Finding the signal hidden in all the noise is time-consuming and requires highly skilled engineers. These engineers end up triaging and troubleshooting while application performance degrades and business is disrupted. Continuous application reliability cannot be accomplished in this mode of operation.

Causal Reasoning Platform

Our product maintains causal knowledge that captures, represents, understands, and analyzes the cause-and-effect relationships unique to your environment through a thin mediation layer and a robust abstraction layer. Causely already understands 100+ root causes in applications, services, databases, messaging, and infrastructure. These root causes manifest themselves as service degradations, high error rates, and high latencies across your environment. Utilizing that knowledge, Causely pinpoints the root causes that explain the observed anomalies and prevents SLO violations in real time. If you have a use case that you worry may not be addressed by our product, our in-house research team can add it to the model in as little as a single business day.


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Why Causely

Automate root cause analysis

Our Causal Reasoning Platform continuously analyzes observed anomalies to automatically pinpoint the root causes that explain those anomalies and can trigger immediate remediation actions, where applicable. Root causes are categorized and prioritized based on their SLO impacts.

Troubleshooting is automated in software, dramatically reducing incident resolution times and the number of incidents, so your time is spent developing and improving systems.

Prevent SLO violations

Ensuring service reliability implies that none of your SLOs are being violated.

Causely’s causal knowledge represents the relationship between root causes and the SLOs they may impact. Causely continuously pinpoints root causes before SLOs are violated, prioritizes root causes based on their SLO impacts, and identifies opportunities for improvement.

Causely helps you understand what actions to take to prevent future SLO violations.

Gain 360° shared context

Transparency builds alignment. Causely empowers application development teams and service owners to independently own and operate what they build, delivering a 360-degree view of the entire service topology and associated cause-and-effect relationships. Detected issues trigger notifications to relevant teams, explaining both the root cause and affected services. Raising visibility of root causes and their effects knocks down silos, instead driving cross-team alignment and faster collaboration between platform teams and service owners.

How Causely works

Our Causal Reasoning Platform captures, represents, understands, and analyzes cause-and-effect relationships in cloud-native environments of any scale. Engineers can easily operationalize Causely’s AI with any existing apps or workflows using webhooks.

Topology Graph

Instantly generates and maintains a real-time graphical representation of the environment based on your existing telemetry sources.

Causal Model

Applies causal reasoning to the topology to generate a Causality Graph unique to your environment in runtime.

Codebook

Analyzes observed symptoms and infers their root cause in runtime, which can then also be used for predictive modeling.

Integrate with anything

Causely provides native instrumentation while also allowing you to use your existing telemetry and observability data sources. As entities and relationships across your cloud-native environment change, Causely automatically updates the Topology Graph, Causality Graph and Codebook for your environment. Our analytics are shared with users via the Causely UI and can take action through incident management, GitOps, CI/CD, and service management systems via webhooks.

Security and performance

Your sensitive data stays in your cloud. Minimal performance metrics are transferred to our  backend, keeping your data safe and avoiding prohibitive transfer and storage costs.


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Getting started is easy

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


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