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Triggers

Tallyfy Manufactory supports near real-time triggers, sometimes called event-based triggers.

This is unique - because many other systems don’t give you the ability to act quickly on incoming data patterns.

Event-based triggers fire based on actor actions. For example, a trigger could be set up to fire when an actor logs in or logs out, or when an actor takes a specific action within a system or application with or without a specific time-frame or even a specific occurrence count.

A Manufactory trigger includes:

  • A condition is a specific rule or set of rules that must be met for the trigger to fire.
  • A criteria is a specific set of conditions that must be met for the trigger to be executed.

Conditions can be based on various factors, like actor actions, system events or updating actor’s attributes. For example, a condition could be set up to trigger a notification when a certain amount of time has passed since an actor last logged into an application, or when a specific event is stored.

Criteria, on the other hand, are a set of conditions that must be met for the trigger to be executed. For example, a criteria could be set up to trigger an alert when a user logs in from an unrecognized device and is trying to access sensitive data. In this case, the criteria could include conditions like the user’s location, the type of device being used, and the time of day.

For additional information about triggers, contact us

Manufactory Triggers

Overview

Tallyfy Manufactory is an API-based events lifecycle engine that provides scalable infrastructure for collecting querying and triggering events from authenticated users while allowing organizations to maintain control over their analytics and visualizations as a cost-effective alternative to premium event platforms.

Manufactory > Use cases and Pro integration

Tallyfy Manufactory enhances workflow management by integrating event lifecycle capabilities that enable automated workflow triggering real-time monitoring dynamic task assignments and predictive analytics through seamless integration with Tallyfy Pro.

Best Practices > What is observability?

Observability enables deep understanding of complex systems through detailed event data analysis to explore and debug both known and unknown issues without relying solely on predefined metrics.

Best Practices > Setting up effective alerts and SLOs

SLOs provide a user-centric framework for creating actionable alerts by measuring error budget burn rates instead of relying on noisy traditional cause-based alerts that often lead to alert fatigue in event-driven systems.