Cosmos DB Best Practices — A Lesson from Spacely Sprockets | Sid Anand | Azure Cosmos DB Conf 2026

If you are a fan of 80s cartoons and distributed data systems, this talk is for you. Sid Anand (Technical Fellow, Walmart) uses The Jetsons' Spacely Sprockets as the lens for a real-world Cosmos DB best-practices talk. George Jetson has been tasked with building an e-commerce site for Spacely Sprockets — owned by the tyrannical Mr. Cosmo G. Spacely, who demands maximum profit, an always-on site, low-latency requests to every corner of the galaxy, and a tight ship on the tech stack. Can Cosmos DB help George pull it off? Come find out — and leave with concrete patterns for building globally distributed, cost-efficient, high-availability applications on Azure Cosmos DB. 👤 Connect with Sid Anand 📝 I'm a Fellow at Walmart Global Tech, where I work on all things data — designing and building large-scale distributed systems and machine learning platforms that power Walmart's global data ecosystem. Before joining Walmart, I served as the Chief Architect and Head of Engineering at Datazoom, where we built high-fidelity, low-latency streaming data systems to capture and process video telemetry in real time. Prior to that, I was PayPal's Chief Data Engineer, helping build systems, platforms, teams, and processes that enabled access to the hundreds of petabytes of data under PayPal's management. Earlier in my career, I held senior technical roles at Netflix, LinkedIn, eBay, and Etsy, among others. I earned my BS and MS degrees in Computer Science from Cornell University, where I focused on distributed systems. Outside of work, I advise early-stage companies and several technology conferences. Once an active committer on Apache Airflow, I'm now mostly a fan and supporter of the open-source community. 💼 https://www.linkedin.com/in/siddharthanand/ 🎤 https://developer.azurecosmosdb.com/conf/#speaker/sid-anand --- Azure Cosmos DB Conf 2026 is a free virtual developer event focused on building modern, scalable applications with Azure Cosmos DB. Sessions feature Microsof