Sensu
What is Sensu?
Sensu is an observability and monitoring automation (observability, ITOM) platform for infrastructure, applications, and services across hybrid and multi-cloud environments.
- Event-based monitoring and observability pipeline for infrastructure and applications (observability)
- Agent-based and agentless checks for servers, containers, cloud resources, and services (infrastructure monitoring)
- Integration with metrics, logging, and alerting systems via handlers, filters, and mutators (toolchain integration)
- Pipeline for collecting, processing, and routing monitoring events to external systems (event processing)
- Role-Based Access Control (RBAC), configuration via APIs and code, and support for multi-tenant environments (enterprise operations)
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More About Sensu
Sensu is an observability and monitoring automation platform (observability) designed to collect, process, and route monitoring events across infrastructure, applications, and services in cloud, on-premises (on-prem), and hybrid environments. It addresses the problem of monitoring heterogeneous systems at scale by providing an event-based pipeline that decouples data collection from alerting, visualization, and incident response tooling. Sensu is positioned in the enterprise monitoring and ITOM category and is used to centralize health checks, metrics, and events from diverse runtime platforms.
The platform uses checks and agents (infrastructure monitoring) to observe resources such as servers, containers, and cloud services. Sensu agents run on hosts or within containerized workloads to execute checks defined as code, collect metrics or status information, and send results to a central backend. Sensu also supports agentless monitoring patterns where checks or integrations query external services or APIs. This enables organizations to monitor legacy systems, network devices, and third-party services alongside modern cloud-native components.
Sensu includes an event processing pipeline (event processing) that uses filters, mutators, and handlers to manage how events are processed and routed. Filters apply logic to determine which events should trigger actions, mutators transform event data into the formats expected by external tools, and handlers deliver events to destinations such as alerting platforms, incident management tools, metrics stores, or log aggregation systems. This design supports integration with existing observability stacks while allowing teams to standardize monitoring workflows.
Configuration in Sensu is defined as code (configuration as code) through declarative resources managed via APIs, Command-Line Interface (CLI) tooling, or configuration repositories. This enables version control, review, and automation of monitoring definitions, including checks, handlers, filters, assets, and role-based access policies. Enterprises can manage Sensu resources alongside Infrastructure-as-Code (IaC) workflows, supporting consistent deployment of monitoring configurations across environments and teams.
The platform supports multi-tenancy and RBAC (security and governance), allowing organizations to segment monitoring data and configuration by business unit, team, or environment while enforcing permissions on resources and namespaces. Sensu’s asset system manages plugins and integrations as reusable packages, simplifying distribution of check scripts and handlers across fleets of agents. This supports extensibility and interoperability with a broad ecosystem of third-party systems, including metrics databases, notification tools, and incident response platforms.
In enterprise and institutional settings, Sensu is deployed as a central component of the monitoring and observability toolchain. It operates as a control plane for monitoring checks and event routing, often integrated with time-series databases, logging platforms, and on-call management systems. Its categorization aligns with infrastructure and application monitoring, observability pipelines, and IT operations automation, where it functions as a unifying layer for event collection, policy-driven processing, and integration with downstream analytics and alerting systems.