As part of our ongoing march towards world domination, we are thrilled to announce the release of API functionality to trigger and monitor jobs (task executions)!
This is huge news, as it addresses a roadblock that many users have faced with the newest version of TimeXtender. Being able to trigger a job via API opens a lot of use cases and functionality for TimeXtender in the context of larger, more complex workflows that many of our partners and customers rely on. It is now easier and faster than ever to manage all your data with TimeXtender!
This changes the architecture, as Instances are now present in TimeXtender instead of Projects, so TimeXtender will support API requests for various parts of the process, including execution, data management, and data quality.
Let’s cut to the point: What does this mean for you?
Essentially, it means that they will be able to do something like this:
- Grant and manage API keys that allow access for managing jobs on an organizational level
- Connect to a TimeXtender setup and list all the jobs within an organization.
- List all the jobs which the granted API key has permission to access.
- Execute a job within TimeXtender.
- Receive and monitor execution results such as job statuses and execution logs.
Overall, this new feature is a game-changer for everyone that uses TimeXtender for their data management needs. By enabling external triggering of jobs, we are opening up a whole new world of possibilities for the way TimeXtender can be used to build and efficiently maintain complex data architectures.
As we move towards an increasingly data-driven world, the ability to integrate and manage data from a variety of sources is more important than ever. With this new feature, we take one more step in helping our customers and partners stay miles ahead of the curve and provide them with the tools they need to succeed.
Resources and guides for how to use the API can be found here:
Not A TimeXtender Customer?
Start your Free Plan today to unify your data stack, automate data integration processes, and build data solutions 10x faster.