Overview

Using Apama streaming analytics, you can add your own logic to your IoT solution for immediate processing of incoming data from devices or other data sources. These user-defined operations can for example alert applications of new incoming data, create new operations based on the received data (such as sending an alarm when a threshold for a sensor is exceeded), or trigger operations on devices.

The operation logic is based on Apama’s Event Processing Language (EPL).

Important: Support for streaming analytics using CEL (Esper) is now deprecated. All new Cumulocity subscriptions use the Apama CEP engine. While using the Esper CEP engine is still supported for older installations, this will no longer be provided for new subscriptions and will not be invested into in the future. For documentation on using the deprecated CEL functionality based on Esper, refer to the CEL analytics guide.

Typical real-time analytics use cases include:

In the following sections, we describe the basics for understanding how the Apama Event Processing Language (EPL) works and how you can create your own analytics or other server-side business logic and automation.

Info: This documentation assumes basic familiarity with Apama application development. Refer to the Apama documentation for further details.

CEP applications

The CEP installation is based on a per-tenant isolation scope, i.e. each subscribed tenant has an own instance of CEP container with dedicated resources (i.e. memory and CPU usage). The container is isolated from other tenants, hence high CPU load or memory issues on other containers do not have any impact on the own one.

You can either use predefined rules or define your own custom rules which requires the following applications:

CEP rules required applications
Pre-defined rules “smartrule” (included in Cumulocity Standard Tenant) and “apama-ctrl”
Custom rules “apama-ctrl” and “apama-epl”