Elastic Oakland Meetup with Mailchimp

San Francisco

Mar 7, 2019, 2:00 – 4:00 AM


About this event

Join us for our second meetup in downtown Oakland on Wednesday, March 6! Thanks to Mailchimp for hosting us.

The agenda for the evening is:

6:00pm: Doors open, there will be some time to mingle. Food & beverages will be provided.

6:30pm: Presentation begins with Mailchimp with time for q&a

8:00pm: Time to mingle, and we'll wrap things up around 8:30pm


At Mailchimp, the ability to search for campaigns and segment on contacts are critical features in the app that our customers use every day. Over time, these features became increasingly unreliable and the underlying system became hard to maintain. To fix this, we decided to replace these services with a unified backend powered by Elasticsearch.

As with many distributed systems, we faced technical challenges ranging from indexing lag and data accuracy, to backfilling data efficiently at scale. The goal of this talk is to give an overview of each of the components in our data indexing pipeline and dive deep into some of the interesting problems we encountered along the way.


Venisa is a software engineer at Mailchimp where she builds tools that help small businesses market better. Before joining Mailchimp, Venisa worked on the audience analytics platform at Yahoo. Venisa graduated with a Masters in Computer Science from North Carolina State University.

Kevin is a software developer on the Search & Segmentation team at Mailchimp, where he builds robust, performant systems that help small businesses thrive. Previously, he worked on the Ecommerce team creating integrations with platforms like Shopify, and built Product Recommendations, a feature that used customer purchase patterns to recommend similar products. Kevin is currently pursuing a Masters in Computer Science from Georgia Tech.

**We do have room for another speaker if you're interested, email us at meetup@elastic.co, can be anywhere from a 5 minute to 25 minute presentation/demo.**



Thursday, March 7, 2019
2:00 AM – 4:00 AM UTC

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