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How do you scale real-time data when 𝗳𝗮𝘀𝘁 𝗶𝘀𝗻'𝘁 𝗳𝗮𝘀𝘁 𝗲𝗻𝗼𝘂𝗴𝗵? 🛠️ At Fever, real-time insights are core to what we do. We already had a real-time system in place, but as we scaled, we knew we needed something more robust, faster, and easier to maintain. We’ve been working closely with Tinybird to take our architecture to the next level. By moving to their technology, we’ve streamlined everything from data ingestion to live API endpoints, ensuring our infrastructure stays resilient no matter the load. ⚡️ The team at Tinybird just published a case study deep-diving into our implementation and how we’ve optimized our stack. Check out the full story here: 👇 https://lnkd.in/e2GsPtX8

𝟯𝟬𝟬𝗧𝗕/𝗺𝗼𝗻𝘁𝗵 𝗮𝗻𝗱 <𝟱𝟬𝗺𝘀 𝗹𝗮𝘁𝗲𝗻𝗰𝗶𝗲𝘀: 𝗧𝗵𝗲 𝗻𝗲𝘄 𝘀𝘁𝗮𝗻𝗱𝗮𝗿𝗱 𝗮𝘁 𝗙𝗲𝘃𝗲𝗿. 🚀 Managing real-time reporting for a global platform requires the perfect synergy between powerful tooling and smart architecture. At Fever, we have evolved our stack alongside Tinybird to guarantee stable data ingestion with zero degradation, even at peak times. 👇 Discover how we scaled our infrastructure in this technical post: https://lnkd.in/e7QQfRfH

Build for free with no time limit. Tinybird has the only free-forever managed ClickHouse plan so you can take all the time you need to prove your use case before moving to prod.

No other managed ClickHouse gives you as much as Tinybird does. Maintain less infrastructure and eliminate extra dependencies so you can focus on shipping features, faster.

What if you could ship your next AI Search data feature in a day? That's what Scrunch did. They moved their data to Tinybird, and started shipping.

Scrunch switched to Tinybird, and their developer velocity took off. Learn how they use Tinybird to ship new AI Search analytics features, faster.