Azure Cosmos DB Conf 2026 Highlights

Microsoft Developer recaps key themes from Azure Cosmos DB Conf 2026, focusing on what engineers are doing in production to scale reliably, keep costs under control, and support AI-driven workloads—especially vector search and modern search patterns built into Cosmos DB.

Overview

This highlights video points to the Cosmos Conf 2026 on-demand playlist and calls out practical lessons shared by engineers building on Azure Cosmos DB.

Key moments mentioned in the recap include:

• Designing for scale, cost control, and avoiding production pitfalls.
• The idea that AI increases the bar for reliability, security, and performance.
• Supporting “vibe-coded” apps that can go viral overnight.
• Using Copilot to review and improve an Azure Cosmos DB data model live.
• Treating memory as an architectural decision that impacts cost, recall quality, and user experience.
• “Built for AI” capabilities and patterns:
  • DiskANN vector search
  • Hybrid + full-text search
  • Scaling from zero to millions of RU/s
  • Scaling from zero bytes to petabytes
• “Time-travel” scenarios to reconstruct past data states and replay new scenarios.
• A case where a team rescued an AI system that was costing too much money.

Links shared:

• Cosmos Conf 2026 playlist: https://aka.ms/CosmosConf26Playlist
• Try Azure Cosmos DB for free: https://aka.ms/try-cosmos-free-confplaylist-yt