What is a job scheduler API?

A job scheduler API is a programming interface that allows developers to automate and control the scheduling of jobs within a software environment. This type of API enables the creation, management and deletion of jobs. Through endpoints exposed by the API, users can specify job details such as job name, runtime and the specific automation schema in the request body. Functions typically include running jobs at predetermined times or in response to specified events, managing job retries and overseeing job execution statuses. Job scheduler APIs are essential in environments like Google Cloud, where managing and scaling numerous tasks efficiently is crucial. Finding the right process automation tool for IT.

What is an API scheduler?

An API scheduler refers to a tool or service that organizes and controls the timing and order of API calls within software applications or between services. It helps to efficiently manage the execution of multiple API requests by scheduling them based on predetermined conditions or dynamic requirements. This tool is especially useful for handling dependencies among tasks and making sure API calls occur at the right moment to maintain system integrity and performance. Features of an API scheduler include webhook and callback setup, permissions handling and authentication with API keys to secure communication through headers. Discover how to rapidly create APIs for reliable end-to-end processes, without custom scripting so your team can achieve more, faster.

What is the API specification of a task scheduler?

The API specification of a task scheduler outlines the technical details and protocol for interacting with the task scheduling service. This specification includes definitions of available endpoints, supported API calls, data structures and...

ActiveBatch Gantt View

Improved Insight into Workflow Execution

Gantt View within ActiveBatch Web Console graphical display of workflow execution and dependencies

Gantt View offers insight into workflow execution and relationships through intelligent analytics. Instances are displayed on a timeline, measured by time of day, so users can monitor a workflow’s execution, duration, and its completion status.

Job and plan shapes are displayed based on how long the individually scheduled jobs or plans executed. This allows users to easily see how long the overall workflow took to run as well as identify and compare how long individual jobs took. This provides users with improved insight into the execution status to allow them to optimize their automation environment.

Graphical Display with Simple Drill Down

Gantt View also features a graphical display of all related job and plan activity, so users can easily drill down into individual objects and view dependencies between jobs and plans.

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