They provide a low-code way to develop basic processing and routing of data using existing Pulsar features. Using functions in the cloud is a very efficient way of creating iterable workflows that can transform data, analyze source code, make platform configurations, and do many other useful jobs. As you develop a function you will quickly realize a need for a solid foundation of utilities and formatting. By Christophe Bornet.
This piece discusses:
- About transformation functions
- Function operations
- Example configuration
- Transformation function compute operation
- Taking transformation functions further
- Deploying the functions on Astra Streaming
- Getting started with transformation functions
Similar to designing microservices, functions have boilerplate code and need standardized processes, and writing the boilerplate code can feel like valuable time spent on a seemingly mindless task. You bring value to a project by creating its core logic, not by creating JSON-parsing methods. You will code examples and links to further reading as well in this article. Good read!
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