Writing data from Redpanda to Amazon S3

In the second part of a series on Redpanda Connect, the focus is on exporting data from a Redpanda topic to Amazon S3 by writing each message as an individual JSON file, which is suitable for small datasets, debugging, or workflows requiring discrete JSON files. This process involves configuring a Redpanda Connect pipeline, utilizing dynamic pathing with built-in functions to create unique filenames, and ensuring secure data transfer with TLS and SASL authentication. While this method is effective for smaller operations, the article notes that it may not be efficient for production-scale data due to the high number of files generated. Best practices involve stopping the pipeline when not in use to avoid unnecessary charges and cleaning up old S3 objects. The series will continue by exploring more efficient data batching techniques for larger-scale applications.

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