1. Enabling Automation and Data Flow in the Application:
    Catalyst event listeners reduce manual efforts involved in building complex code by easily facilitating automated data and logic flow between various loosely coupled and distributed components of your application. When you configure an event listener and associate it with the execution of a reusable behavior, the workflow is streamlined and automated based on event occurrences. This enables a faster and more effective application building process.

  2. Delivering Real-Time Data:
    Catalyst event listeners deliver a stream of real-time data from the various components of your application or from a custom source that you define. It also provides you complete control over this real-time data, by enabling you to route and process it as per your needs. You can enable the components of your application to react to the real-time data and build event-driven architectures in an easy manner.

  3. Rapid Processing and Auto Scaling:
    Catalyst supports the invocation of multiple event listeners and rules of various types. You can configure multiple rules in a Component event listener or a Zoho event listener, and create multiple custom event listeners as per your requirement. These can be associated with multiple endpoints as well. The target functions of the invoked rules are processed without any reduction in data throughput or increase in latency. Catalyst servers auto scale to provide the required resources to maintain the consistency of your application’s performance.

  4. Automate Workflows from an Event Occurrence:
    You can invoke a Circuit for an event listener rule execution and orchestrate a workflow. While you can configure multiple event functions to be triggered for an event listener rule, triggering a Circuit allows you to execute multiple Basic I/O functions sequentially or in parallel, based on how you configure the circuit.
    Choosing a Circuit as the target of your event listener also allows you to handle failures, perform conditional executions that are recursive, sequential or parallel, pass processed data between each state, and even have perform fallback handling in cases of failure.

  5. Statistics, Queued Events, and Processed Events:
    The statistics of an event listener displayed in the console enable you to monitor and analyze its performance easily. You can also view Queued Events that show events that are captured in real-time by the event listeners and are currently being processed. Additionally, you can also pause, delete, bulk-delete and resume the queue of events. After they are processed, you can view the details of the processed events of each rule in every event listener. The processed event details contain insights of event traffic, and provide crucial information about the execution history of each rule in an event listener.

  6. Compatible with Budgetary Constraints:
    Catalyst innovative form of pricing is calculated based on the number of API calls made. If you detect an error in your application, by pausing the queue you pause the processing of the events and the execution of their associated functions. You can debug while the queue is paused or even delete the entire queue of events to ensure no unnecessary API calls are being made during the debugging stage, thereby enabling you to have more control of your monetary resources.

Last Updated 2024-04-03 14:37:15 +0530 +0530