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others / www.youtube.com2022-06-06

"Outstanding Search Experiences with Remix and Algolia" by Sarah Dayan at #RemixConf 💿

Outstanding search starts with two principles: immediate feedback and relevant results. Search-as-you-type experiences have become the standard since Google introduced Google Suggest and Google Instant on their search page in the 2000s. Users not only love the immediate feedback of instant experiences, they expect it. They also expect search to be excellent at understanding their intent, even when they misspell or forget words. Services like Algolia are designed to deliver instant, as-you-type, relevant results right from the first keystrokes. But what happens when the user's network is slow? What's relevant when the user didn't express intent yet? In this talk, we'll see how you can combine Algolia's client-side search with the power of Remix's server runtime to create snappy and delightful yet reliable and resilient search experiences that serve everyone. Speaker bio: Sarah is a Staff Software Engineer from Paris, France who works on front-end search experiences at Algolia. She created the Dinero.js monetary library and hosts the Developer Experience podcast show. She's passionate about building dynamic front-end experiences, and won't shut up about TDD and utility-first CSS. She shares what she learns on her blog and at tech conferences around the world. Learn more at https://remix.run/conf/2022/speakers/sarah-dayan

others / www.youtube.com2023-05-17

"Reaching new heights with Remix, Prisma and Google Cloud Run" by Brian Lee at #RemixConf 2023 💿

Let's look at real world look at a migration from a React SPA and self-managed Express API to Remix on Google Cloud Run in a production setting. At Nellis Auction we made the jump and have insights to share with those of you looking to make the switch as well (hint: the performance boost for our customers was dramatic). Speaker Bio: Brian Lee is the VP of Engineering at Nellis Auction, an advisor at Reality Defender, and is currently seeking Masters in Computer Science at Vanderbilt University in Nashville, TN. Brian graduated from UNLV in 2013. Throughout his career he has worked in many areas, including geographic information systems, artificial intelligence, machine learning, custom video streaming, mobile development, and gaming engines. His work has spanned several languages and technologies, but it was always nestled within the web ecosystem. https://remix.run/conf/2023/speakers/brian-lee