Elasticsearch has been used by all kinds of companies for their logs and advanced search needs. However, Elasticsearch has a lot more to offer. It's support for structured documents, robust query interface and advanced aggregations make for a powerful combination to use in your application. At Adobe Typekit, we use it to power our API, our UI and internal admin operations. In this talk we'll cover how to use some of Elasticsearch's features in your everyday feature development. We'll cover how you can use Elasticsearch on top of your normalized models for faster and more scalable features.
A Cleveland-based software engineer and technical leader, Marko has worked for companies all over the United States, most recently serving as a Senior Computer Scientist for Adobe Typekit. Marko is focused on how to best use technology to achieve business goals, working with teams to achieve both high velocity and long term sustainability. Marko loves to find the right tool for a job; most recently he's been using Elasticsearch to make applications with highly normalized data sets faster and more scalable.