Learn how to use PostgreSQL + PGVector as a smarter, more contextual retrieval engine for GenAI apps Discover best practices for embedding storage, indexing, and relevance scoring in Azure Database ...
Azure HorizonDB introduces cloud-native PostgreSQL with disaggregated compute and storage for faster scaling and failover. HorizonDB’s Rust-based storage engine improves security, reliability, and ...
During the recent Microsoft Ignite conference, the cloud provider announced the early preview of Azure HorizonDB, a managed Postgres-compatible database service for enterprise workloads. According to ...
Enterprises need data, and data needs to be stored, with a flexible, portable environment that scales from developers’ laptops to global clouds. That storage also needs to be able to run on any OS and ...
NOTE: This article was published yesterday (30/10/2025), but due to some technical issues it went offline. Microsoft has officially added Python 3.14 to Azure App Service for Linux. Developers can now ...
Azure outage affected global industries, including airlines and airports Microsoft 365 services impacted by Azure configuration change Outage follows recent Amazon AWS disruption, highlighting tech ...
Copyright 2026 The Associated Press. All Rights Reserved. Copyright 2026 The Associated Press. All Rights Reserved. The logo of Microsoft is seen outside its French ...
Microsoft was hit with an outage affecting its Azure and 365 services hours before the company was scheduled to report quarterly results. "We are investigating an issue with the Azure Portal where ...
The current Python SDK seems to rely on synchronous/blocking I/O operations. To properly integrate Composio into modern, high-performance asynchronous Python frameworks (like asyncio, FastAPI, or ...
Microsoft has launched online migration for Azure Database for PostgreSQL Flexible Server. The company says it’ll help organizations move databases with minimal downtime. The feature supports ...
In many AI applications today, performance is a big deal. You may have noticed that while working with Large Language Models (LLMs), a lot of time is spent waiting—waiting for an API response, waiting ...
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