Generating synthetic data at a very high queries per second (QPS) is a challenging task that forces developers to build and launch multiple instances of a complex multi-threaded application. Having learned that this is a very common need which helps IT teams to validate system resilience during evaluations and migrations to new platforms, we decided to build a pipeline that eliminates the heavy lifting and makes synthetic data generation easier.

Generating synthetic data at a very high queries per second (QPS) is a challenging task that forces developers to build and launch multiple instances of a complex multi-threaded application. Having learned that this is a very common need which helps IT teams to validate system resilience during evaluations and migrations to new platforms, we decided to build a pipeline that eliminates the heavy lifting and makes synthetic data generation easier.

We are excited to announce the launch of a new Dataflow Flex template called Streaming Data Generator that is capable of publishing unlimited high-volume JSON messages to a Google Cloud Pub/Sub topic. In this blog post, we will briefly discuss the use cases and how to use the template.

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