Service-Oriented API Task Scheduling

Service-Oriented API Task Scheduling

Service-Oriented API Task Scheduling. This look at Zato's service-oriented scheduler outlines the integration process and some key features with some sample Python code.

Want to customize your jobs? Here's how to do it with Zato.

An integral part of  Zato, its scalable, service-oriented scheduler makes it is possible to execute high-level API integration processes as background tasks. The scheduler runs periodic jobs, which, in turn, trigger services, and services are what are used to integrate systems.

Integration Process

In this article, we will check how to use the scheduler with three kinds of jobs, one-time, interval-based, and Cron-style ones.

Sample integration process

What we want to achieve is a sample yet fairly common use-case:

  • Periodically consult a remote REST endpoint for new data
  • Store data found in Redis
  • Push data found as an e-mail attachment

Instead of, or in addition to, Redis or e-mail, we could use SQL and SMS, or MongoDB and AMQP or anything else — Redis and e-mail are just example technologies frequently used in data synchronization processes that we use to highlight the workings of the scheduler.

No matter the input and output channels, the scheduler works always the same — a definition of a job is created and the job's underlying service is invoked according to the schedule. It is then up to the service to perform all the actions required in a given integration process.

microservice task scheduler

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