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Reference

The Reference section provides comprehensive documentation about the entities Causely discovers, the Diagnoses it produces, key terminology, and security information.

This documentation helps you understand what types of entities it discovers in your environment, the Diagnoses it can produce, and the terminology used throughout the documentation.

Entity Types​

Causely automatically discovers over 25 different entity types from your cloud native environment through data sources like eBPF, Cloud APIs, and OpenTelemetry. These entities are used to build topologies, identify defects, and infer Diagnoses.

Learn about the different types of entities that Causely automatically discovers, including applications, services, databases, compute resources, messaging systems, and data pipelines in Entity Types.

Diagnoses​

With more than 100 types of root causes captured in its Causal Models, the causes a Diagnosis can identify, Causely can pinpoint hundreds of thousands of potential issues and their effects within your environment. These causes span applications, infrastructure, data pipelines, release management, and services.

Explore the root cause types behind each Diagnosis and how they impact your systems, from application bugs to infrastructure bottlenecks to release-related issues, in Diagnoses.

Signals​

Signals are observable anomalies in managed objects that may be caused by root causes; formally these are Symptoms, defined in Terminology. Causely detects a wide variety of Signals across services, workloads, compute resources, databases, messaging systems, and more.

Browse the complete reference of all Signals that Causely can detect, organized by category and entity type, in Signals.

Terminology​

Understanding the key terms and concepts used throughout Causely documentation helps you get the most out of the system. The terminology covers core concepts like entities, Issues, Diagnoses, Signals, topology, causality graphs, and more.

Understand the key terms and concepts used throughout Causely documentation, grouped by relatedness to help you navigate the system effectively in Terminology.

Security​

Causely is designed to protect sensitive data and ensure privacy. The system processes telemetry data locally and primarily transmits minimal, high-level information to its backend. All data is encrypted in transit and at rest.

Learn about Causely's security model, data handling practices, privacy protections, and the permissions required for deployment components in Security.