High-Scale Data Processing over 1000s of Devices with Azure Cosmos DB and Expanso - Ep. 104

Modern applications generate enormous volumes of data across globally distributed environments—but processing all of it centrally can lead to sky-high network costs and serious latency issues. In this episode of Azure Cosmos DB TV, host Mark Brown is joined by David Aronchick, CEO of Expanso, to showcase a breakthrough approach to this challenge. Watch as they demo a live deployment of Expanso’s edge-native distributed processing framework across 1,000 spot nodes in five Azure regions—paired with the global scalability of Azure Cosmos DB. The result? Processing 50 million records in under a minute with massive reductions in network traffic and high-throughput ingestion into Cosmos DB. 💡 Learn how Expanso orchestrates lightweight agents to intelligently aggregate data at the edge—before sending clean, structured data to Azure Cosmos DB for global-scale storage and real-time analytics. 🔍 In this demo, you'll see: • Edge-to-cloud processing architecture in action • Real-time distributed execution across 5 Azure regions • How to reduce network costs by 85% with localized transformations • Azure Cosmos DB autoscale and region-based partitioning in a live scenario • A full run-through of edge data aggregation, ingestion, and querying Whether you're building distributed systems, working on edge AI, or looking to optimize your ingestion pipeline—this session is packed with insights. #azurecosmosdb #nosql Useful links: • Call for Speakers for Azure Cosmos DB TV - https://aka.ms/ACDBLTVProposal • Try Azure Cosmos DB for free - https://aka.ms/trycosmosdb • Azure Cosmos DB TV - https://aka.ms/AzureCosmosDBLiveTV • Subscribe to Azure Cosmos DB on YouTube - https://youtube.com/AzureCosmosDB • Follow Azure Cosmos DB on X - https://twitter.com/AzureCosmosDB • Follow Azure Cosmos DB on LinkedIn - https://www.linkedin.com/company/azure-cosmos-db/