Content by Shireesh Thota (6)

Shireesh Thota explains why “building an app for under $25” is more achievable than it sounds, and points to practical levers like free tiers, serverless services, and architecture choices that keep cloud costs down.

Shireesh Thota explains the biggest misconception about building an app for under $25, and outlines practical ways to keep costs down using free tiers, serverless approaches, and architecture choices that reduce always-on infrastructure.

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.

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.

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.

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.