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 Scheduling Analytics

Intelligent Automation at Your Fingertips

ActiveBatch allows users to optimize their resources while scheduling and executing workloads to ensure that Service-Level Agreements (SLAs) and business deadlines are met. Scheduling Analytics combines historical and predictive analyses by measuring behavioral insight such as historical workflow performance, resource availability and capacity, and upcoming workload schedules, to make predictions about possible future workflow execution times and durations.

Scheduling Analytics Features

SLA Monitor: concerned with workflows and Jobs that have been marked as SLA-sensitive, this view provides a single place in which users can observe SLA statistics as well as summary and detailed information concerning SLA-tied workflows and Jobs.
Analysis Dashboard: provides access to OLAP-generated dashboards and reports for easy display and analysis.
Critical Path Analysis: provides statistics about workflow runtimes and SLA satisfaction rates as well as real-time critical path analytics as workflows are executing.
Quick-Access Summary Views: display information concerning Managed Queues and SLA-marked Plans and Jobs.
Heuristic Queue Allocation (HQA): uses machine learning algorithms to analyze historical instance data, determining the optimal allocation of future Execution Queues.
Dynamic, User-Defined Queue Characteristics: evaluate multiple machines to determine the Execution Queue that is best suited for each Job, based on specific, user-defined characteristics.

ActiveBatch Smart Queue

ActiveBatch Smart Queue will dynamically scale virtual/cloud resources up or down based on real-time demands and historical analysis of past scheduling periods. IT teams can optimize their virtual/cloud environments by provisioning resources only when needed and deprovisioning idle resources. This helps IT minimize costs and saves IT time by automating the management of these resources.

Additionally, Scheduling Analytic tools interact with ActiveBatch's Smart Queue to ensure that virtual and cloud-based systems are appropriately provisioned. ActiveBatch's ability to intelligently automate the provisioning and allocation of resources to ensure the successful completion of workflows is critical to reducing the cost of IT operations.

What ActiveBatch Users are Saying

“If it’s digital, ActiveBatch can do it.”

—System Administrator, First Rate

Scheduling Analytics

Optimize resources and improve SLA success rates with ActiveBatch's dynamic scheduling analytics capabilities.

Intelligent Automation at Your Fingertips

Scheduling Analytics Features

ActiveBatch Smart Queue

What ActiveBatch Users are Saying

“If it’s digital, ActiveBatch can do it.”

“We have been able to accomplish exponentially more with ActiveBatch than what we could have with our previous solution.”

“Implementing ActiveBatch has been extremely positive...ActiveBatch has set us up for success as we increase the volume and complexity of our automated workflows.”

Be ready to automate anything.