Content by Shireesh Thota (4)

Shireesh Thota explains why Microsoft is investing heavily in PostgreSQL, from upstream engineering contributions to Azure-managed Postgres services and developer tooling. The post highlights how AI-driven application patterns are pushing databases toward vector search and model invocation, and where Azure Database for PostgreSQL and Azure HorizonDB fit for different scaling needs.
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Shireesh Thota summarizes the main architecture trends from Cosmos DB Conf 2026, focusing on how teams are building AI-native apps on Azure Cosmos DB with flexible data models, serverless scale, and first-class semantic/vector search, plus practical patterns for agent memory, cost visibility, and multi-user security.
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Shireesh Thota announces a Microsoft SQL/Azure SQL direction focused on bringing AI capabilities closer to the database across a unified data estate spanning on-premises and cloud, with pointers to the related FabCon and SQLCon 2026 platform-unification post.
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Shireesh Thota details how Microsoft is transforming PostgreSQL on Azure into a powerful AI platform, highlighting integrations with GitHub Copilot, Microsoft Foundry, and real-time analytics for developers and enterprises.
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