Snowplow has had a strong following around HNers ever since we launched back in 2012. The truth is though that Snowplow open-source is still a complex project to stand up, and a lot of technology teams still aren't aware of the power of having all their own behavioral data (events from webapps, mobile etc) in their own data warehouse or lake, and available in real-time streams (Kinesis and GC Pub/Sub).

With this background, I am delighted to be able to Show HN our new Try Snowplow experience. Under lockdown last year, the team decided to go back to basics and build a new version of Snowplow called Try Snowplow; that version is now in GA.

Try Snowplow is a small version of the Snowplow technology that can be setup quickly and easily - normally under 15 mins. Like all versions of Snowplow, it runs in your own cloud environment.

The landing page is here: https://snowplowanalytics.com/get-started-try-snowplow/

And if you want to learn more about Try Snowplow before giving it a spin, there's a video here: https://www.youtube.com/watch?v=Aw5hdIjwVhY&ab_channel=Snowp...

If you are still puzzled why you want your own behavioral data in your own warehouse, check out our library of use cases here: https://snowplowanalytics.com/use-cases/

Any questions just shout! Happy to answer anything Snowplow-related, and thanks again for Hacker News' support of Snowplow over the years.

Is there an easy way to deploy this to my own infrastructure, possibly via k8s or docker containers - no aws?

Hey dylz - not yet. Historically Snowplow has been engineered in a way that is idiomatic to each host cloud - in other words, it runs using the AWS / GCP services that a data platform team would use if they were building a behavioral data pipeline from scratch on that cloud.

This said, we are steadily working to refactor all our components to be more generic, and already we run a lot of the Snowplow components on k8s for our customers.