How We Saved Over $240K per Year by Replacing Mixpanel with BigQuery, Apache Beam, and Kubernetes

Full Featured (30 min.)
[Infrastructure]

Traditionally, a lot of companies rely on off-the-shelf data analytics platforms like Mixpanel for product analytics to understand each user’s journey. However, if your product becomes a success and your volume of events is getting high, these solutions may become somewhat expensive. In this talk, we are going to review one of our projects with Jelly Button; to design their own event-analytics solution based on Kubernetes and Apache Beam

The results will save Jelly Button about a quarter of a million dollars each year. Together with Jelly Button’s team led by Meir Shitrit and Nir Shney-Dor, we have build a global, robust, and secure data pipeline solution.