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Blue promotional graphic titled “Set up Data API builder for Azure Cosmos DB for NoSQL.” The image features a stylized cloud icon with orbiting elements, along with a laptop displaying the Azure portal interface. The background includes flowing abstract shapes in shades of blue, representing cloud-based API development.

Blue promotional graphic titled “Set up Data API builder for Azure Cosmos DB for NoSQL.” The image features a stylized cloud icon with orbiting elements, along with a laptop displaying the Azure portal interface. The background includes flowing abstract shapes in shades of blue, representing cloud-based API development.

Turn your Azure Cosmos DB data into REST and GraphQL APIs with Azure Data API Builder. This guide walks through the setup using the CLI so you can move from data model to API fast.

msft.it/63321QpqzR

#AzureCosmosDB #DataAPIBuilder

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Part 1: Building Your First Serverless HTTP API on Azure with Azure Functions & FastAPI - Azure Cosmos DB Blog Explore Azure Cosmos DB and Azure Functions for serverless development with automatic scaling and cost efficiency.

Part one of a new series shows how to build a serverless HTTP API with Azure Functions and FastAPI connected to Azure Cosmos DB. Follow the guide to get started:

msft.it/63320QpUuI

#AzureCosmosDB #Serverless

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Azure Cosmos DB Conf 2026 is your place for all info about the free virtual event on April 28, 2026. Learn from engineers who build with Azure Cosmos DB and discover practical demos and guidance.

msft.it/63321QpojV

#AzureCosmosDBConf #AzureCosmosDB

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Maximize Azure Cosmos DB Performance with Azure Advisor Recommendations Azure Advisor is a built-in optimization service that helps you get the most out of your Azure resources—with minimal effort. In this video, we focus on performance recommendations and show how Azure Advisor continuously analyzes your workloads, configuration settings, and operational telemetry to deliver personalized insights. You’ll see how Azure Advisor surfaces actionable recommendations for Azure Cosmos DB, including indexing insights that help your applications run faster and more efficiently. Because Azure Advisor continuously monitors your Azure Cosmos DB workloads, you always get fresh, up-to-date recommendations as your traffic and data grow. By applying a few targeted updates based on these insights, you can significantly improve the speed, efficiency, and scalability of your Cosmos DB applications—without guesswork. Topics covered: - What Azure Advisor is and how it works - Performance recommendations in the Azure portal - Azure Cosmos DB indexing insights - Maintaining peak performance as workloads scale Full Blog Post: https://msft.it/63325QpW2H #Azure #AzureAdvisor #AzureCosmosDB

Azure Advisor provides personalized performance recommendations for Azure Cosmos DB, including partition key guidance, indexing optimization, query insights, and throughput monitoring to support scalable, efficient workloads.

Watch the demo:
msft.it/63326QpW2y

#AzureCosmosDB #AzureAdvisor

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Building multi-tenant systems using NServiceBus and Cosmos DB Azure Cosmos DB provides highly reliable, scalable, and performant data storage in the Microsoft Azure cloud. However, designing your NServiceBus system with Cosmos DB to create performant, reliable,…

You know how to partition your #AzureCosmosDB collection but not sure how messages relate to partitions? Learn how to build multi-tenant systems using NServiceBus and CosmosDB in this webinar recording

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Cosmos DB Persistence — Questions & Answers We recently released NServiceBus.Persistence.CosmosDB version 1.0, which provides saga and outbox storage for NServiceBus endpoints that is transactionally consistent with the business data you store…

Break the shackles of schemas in your #NServiceBus systems using #AzureCosmosDB #NoSQL ☁️

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Hello #AzureCosmosDB Community!
I’m excited to share that I will be speaking at the @codemash.bsky.social conference in January.
I’ll be leading a workshop on @azurecosmosdb.com and will be available to answer any questions you may have.
I hope to see you there and connect with all of you

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Transactions in Azure Cosmos DB persistence • NServiceBus.Persistence.CosmosDB

Extract the partition key from your messages with #AzureCosmosDB persistence ☁️ #NServiceBus

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Cosmos DB Persistence — Questions & Answers We recently released NServiceBus.Persistence.CosmosDB version 1.0, which provides saga and outbox storage for NServiceBus endpoints that is transactionally consistent with the business data you store…

Process messages exactly-once with outbox and #AzureCosmosDB ☁️ #NServiceBus

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Run Cross-Database Queries with Cosmos DB in Microsoft Fabric Discover how to run cross-database queries with Azure Cosmos DB in Microsoft Fabric. This tutorial shows you how to connect and query NoSQL data alongside SQL data using the SQL Analytics Endpoint. Learn how to unify multiple data sources, simplify analytics, and unlock insights by combining Cosmos DB in Fabric with SQL in Fabric—all within one powerful platform. Perfect for developers, data engineers, and analysts working with cloud databases, real-time analytics, and scalable applications. #AzureCosmosDB #MicrosoftFabric #NoSQL #SQL #DataIntegration #CloudComputing #Analytics

Cross-database magic in Microsoft Fabric ✨ Query Azure Cosmos DB + SQL together with the SQL Analytics Endpoint. Watch the walkthrough: msft.it/63326tHM0K
#AzureCosmosDB #MicrosoftFabric

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Azure Cosmos DB Persistence • NServiceBus.Persistence.CosmosDB How to use NServiceBus with Azure Cosmos DB.

Knock knock, who's there? Support for outbox with #AzureCosmosDB ☁️ #NServiceBus

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Boost Your Azure Cosmos DB Efficiency with Azure Advisor Insights Azure Advisor offers personalized guidance to help you fine-tune your Azure Cosmos DB setup. This video highlights key recommendations—like SDK upgrades, saving more with reserved capacity, upgrading to TLS 1.2 or higher, and indexing recommendations—that can drive better performance and cost savings. Perfect for developers, architects, and cloud engineers. (Docs) Automated recommendations for Azure Cosmos DB - https://msft.it/63328s7TIa

Azure Advisor highlights practical tweaks for Azure Cosmos DB—SDK upgrades, reserved capacity, TLS 1.2+, indexing. Quick explainer here: msft.it/63321s7TIL

#AzureCosmosDB

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Build a RAG application with LangChain and Local LLMs powered by Ollama - Azure Cosmos DB Blog Local large language models (LLMs) provide significant advantages for developers and organizations. Key benefits include enhanced data privacy, as sensitive information remains entirely within your own infrastructure, and offline functionality, enabling uninterrupted work even without internet access. While cloud-based LLM services are convenient, running models locally gives you full control over model behavior, performance tuning, […]

Private, offline RAG: LangChain + Ollama + Azure Cosmos DB as your vector DB. Clean, step-by-step walkthrough with code → msft.it/63323sNR2Z
#AzureCosmosDB

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Quickstart - Create an Azure Cosmos DB database and container using Terraform Quickstart showing how to an Azure Cosmos DB database and a container using Terraform

Terraform + Azure Cosmos DB = infrastructure as code made easy. Use the quickstart to deploy a NoSQL Cosmos DB account + containers via Terraform and Azure CLI.
msft.it/63321sNzu9

#AzureCosmosDB #IaC

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PyBay 2025 - Save the date - Saturday, October 18, 2025

PyBay 2025 - Save the date - Saturday, October 18, 2025

📢 PyBay 2025 (SF, Oct 18) → 2 FREE Microsoft workshops (first-come basis):

🧩 Agentic AI w/ Semantic Kernel + Graph RAG on Postgres (10:30 AM)
🚀 Full-Stack FastAPI w/ Azure Cosmos DB via Docker (1:30 PM)

🎟 Reserve: msft.it/63329sLgxS

#AzureCosmosDB #Postgres #Python

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How to Store Agent Threads with Azure Cosmos DB and Azure AI Agent Service | Microsoft Build 2025 At Microsoft Build 2025, James Codella, Ph.D. demonstrates how to easily bring your own thread storage for AI agents using Azure Cosmos DB and the Azure AI Agent Service. In this session, you'll learn how to use Bicep templates from the Azure AI Foundry samples library to set up your environment, connect your agent instances to Azure Cosmos DB, and persist agent thread and session data—including inputs, outputs, tool usage, and more. 🔍 Key highlights: * Seamless setup of thread storage with Azure Cosmos DB * Persist chat histories and agent metadata * Use thread data for context retention and downstream analysis * Full visibility and control over agent interactions * Supports GPT-4.0 Mini and the Agent Playground in AI Foundry Whether you’re building agentic applications or need persistent conversational context at scale, Azure Cosmos DB makes it easy and cost-effective to manage AI threads with speed, security, and flexibility. 🔗 Try it out: https://msft.it/63321sxPa5 #AzureCosmosDB #MicrosoftBuild #AgenticAI #AIApplications #AzureAI #ThreadStorage

Need persistent context for AI agents?
At #MSBuild, James Codella showed how to use Azure Cosmos DB + Azure AI Agent Service to store threads, chat history & tool usage at scale.

📽️ msft.it/63323sxPa9

#AzureCosmosDB #AI

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Customer Story: Scaling Anti-Money Laundering Compliance with Azure Cosmos DB Mike Calvin, CTO of Kinectify, shares how his team uses Azure Cosmos DB as the operational data store powering their anti-money laundering compliance platform for the gaming industry. Ingesting millions of transactions per day from leading casinos and gaming organizations, Kinectify analyzes activity for potential risk and supports clients in preparing regulatory filings. Mike explains how Cosmos DB provides the scalability and performance needed to handle large-scale data ingestion with ultra-low latency. Its flexibility has enabled their team to scale from gigabytes to terabytes in just over a year while accelerating development and simplifying deployment—eliminating the overhead of schema changes and relational constraints. --- Azure Cosmos DB Conf is a free virtual developer event co-organized by Microsoft and the Azure Cosmos DB community. This is our fifth Azure Cosmos DB Conf. Sessions are a combination of Microsoft and community delivered. Come and learn more about Azure Cosmos DB. See what others in the community are building. April 15, 2025 9AM – 12PM PT To explore all sessions, visit: https://msft.it/63321sxPl3 🔗 Useful Links • Azure Cosmos DB Conf 2025 Website – https://msft.it/63324sxPlu • Evaluate Azure Cosmos DB Conf 2025 Sessions - https://msft.it/63327sxPlT • Subscribe to Azure Cosmos DB on YouTube – https://msft.it/63320sxPln • Follow Azure Cosmos DB on X – https://msft.it/63323sxPlZ • Follow Azure Cosmos DB on LinkedIn – https://msft.it/63325sxPlb #AzureCosmosDBConf #AzureCosmosDB

🎲 Kinectify uses Azure Cosmos DB to power anti-money laundering compliance in gaming. Millions of casino transactions ingested daily, analyzed in real-time for potential risk.

Watch the story: msft.it/63328sxPle

#AzureCosmosDB #Gaming #Compliance

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Chat-Prompt UI Style — mock-up of a chat box with a user typing “Show my Cosmos DB databases” and a clean result panel.

Chat-Prompt UI Style — mock-up of a chat box with a user typing “Show my Cosmos DB databases” and a clean result panel.

🧰 New: #AzureCosmosDB tools for the #Azure MCP Server
Use natural language to list accounts, browse containers, and query items directly.
Simple. Intuitive. Agent-ready.
👉 msft.it/63328slf8a

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Building multi-tenant systems using NServiceBus and Cosmos DB Azure Cosmos DB provides highly reliable, scalable, and performant data storage in the Microsoft Azure cloud. However, designing your NServiceBus system with Cosmos DB to create performant, reliable,…

How can you leverage #AzureCosmosDB transactions in your #NServiceBus handlers? Watch Ivan Lazarov building multi-tenant systems using CosmosDB and NServiceBus in this webinar recording particular.net/webinars/building-multi-...

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“Vector” + “Full-Text” → “Hybrid Results

“Vector” + “Full-Text” → “Hybrid Results

Hybrid Search in #AzureCosmosDB 🔎
Now you can combine vector + keyword search (BM25) with rank fusion (RRF) to get better relevance.
A big win for RAG, search, and QA apps.
Read here 👉 msft.it/63327sl4EH

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Migration from Azure Table Persistence • NServiceBus.Persistence.CosmosDB

Benefit from over 30% faster sagas and outbox processing compared to Azure Storage Tables persistence with #AzureCosmosDB. Migrate your ASP #NServiceBus systems to #AzureCosmosDB and work faster ☁️ docs.particular.net/persistence/cosmosdb/mig...

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Secure Your Connections with Entra ID Support in the DocumentDB VS Code Extension

Secure Your Connections with Entra ID Support in the DocumentDB VS Code Extension

🔐 DocumentDB VS Code extension now supports Entra ID for Azure Cosmos DB for MongoDB (vCore). Passwordless & secure.
msft.it/63329sYJH7

#AzureCosmosDB #EntraID

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Now GA: Azure Cosmos DB for MongoDB (vCore) supports encryption with customer-managed keys

Now GA: Azure Cosmos DB for MongoDB (vCore) supports encryption with customer-managed keys

🔐 Now GA: #AzureCosmosDB for #MongoDB (vCore) supports encryption with customer-managed keys.
Bring your own key for complete control over data at rest.
msft.it/63321sYMgW

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Quickstart - Azure SDK for Node.js - Azure Cosmos DB for NoSQL Deploy a Node.js Express web application that uses the Azure SDK for Node.js to interact with Azure Cosmos DB for NoSQL data in this quickstart.

Get started with Azure Cosmos DB + TypeScript in minutes. This quick tutorial walks you through deploying a NoSQL account, building a sample Node.js app, and doing CRUD + queries with the Azure SDK.
msft.it/63329sceq9

#AzureCosmosDB #TypeScript #DeveloperLearning

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Introducing the Azure Cosmos DB Account Overview Hub One Hub, Total Control - Azure Cosmos DB

Easier navigation for #AzureCosmosDB.
The new Account Overview Hub helps you set up, monitor, and optimize your DB from a single view in the Azure Portal.
👉 msft.it/63320s5LF6

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Building Scalable LLM Evaluation Pipelines with Azure Cosmos DB This hands-on workshop teaches participants to build cost-effective evaluation systems for RAG applications using Azure Cosmos DB's vector search capabilities. Attendees will learn to implement semantic caching techniques that significantly reduce LLM evaluation costs while maintaining fast query performance. Participants will create a complete evaluation pipeline that measures retrieval quality, answer accuracy, and system performance using industry-standard metrics. By the end of this session, attendees will have production-ready code and benchmarking tools that can scale across different deployment environments. #AzureCosmosDB #LLM #AI Useful links: • (GitHub) Azure Cosmos DB LLM Evaluation - https://msft.it/63325sZMRU • Subscribe to this channel - https://msft.it/63326sZMRq • Check out past meetups on YouTube to catch anything you might have missed - https://msft.it/63329sZMRt • Want to present at a future meetup? Fill out our intake form - https://msft.it/63321sZMRv • Try Azure Cosmos DB Free - https://msft.it/63323sZMRx • Microsoft Reactor - https://msft.it/63326sZMR0 • Follow Azure Cosmos DB on X - https://msft.it/63328sZMR2 • Follow Azure Cosmos DB on LinkedIn - https://msft.it/63320sZMR4 Speaker: Farah Abdou Farah Abdou is a Machine-learning engineer, STEM advocate, and international tech speaker whose work bridges artificial intelligence research with large-scale industrial deployment. Best known for her contributions to natural-language processing (NLP), quantum reinforcement learning (QRL), and cloud-native AI systems, She has become a prominent voice for open-source innovation and women’s representation in technology across the Middle East and North Africa (MENA) region

⏰ Tomorrow!
Sept 9 — Build scalable LLM eval pipelines with Azure Cosmos DB.
🔔 msft.it/63322sZMRA

#AzureCosmosDB

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GitHub - AzureCosmosDB/azure-cosmos-mcp-server-samples: This repository contains a collection of sample implementations of the MCP across multiple programming languages, all backed by Azure Cosmos DB. These examples demonstrate how to create, query, update, and delete documents using the Azure Cosmos DB SDKs This repository contains a collection of sample implementations of the MCP across multiple programming languages, all backed by Azure Cosmos DB. These examples demonstrate how to create, query, up...

Want to see AI agents interact with Azure resources using natural language?
Check out the Azure Cosmos DB MCP Server Samples repo → code in multiple languages backed by Cosmos DB.
👉 msft.it/63325s5EPx

#Azure #AzureCosmosDB #AI

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Check out the Samples Gallery → code, scenarios & guidance to get you building fast.

Check out the Samples Gallery → code, scenarios & guidance to get you building fast.

Need examples & patterns for #AzureCosmosDB?
Check out the Samples Gallery → code, scenarios & guidance to get you building fast.
msft.it/63323s5DQx

#Azure

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Why Multi-Agent AI? A quick explainer on multi-agent patterns and why they are useful. Multi-agent AI refers to systems where multiple specialized agents, often powered by large language models (LLMs), collaborate to solve complex tasks. This approach is gaining traction across engineering, healthcare, and enterprise AI because it offers modularity, scalability, and precision. Try out these samples: OpenAI Swarm with Python: https://msft.it/63328sdQOn LangGraph (Python) and Semantic Kernel (C#): https://msft.it/63322sdQOw Spring AI (Java): https://msft.it/63323sdQOb #azurecosmosdb #AI

Why Multi-Agent AI?
Quick explainer on how specialized agents team up to solve complex tasks with modularity, scalability, and precision.
📺 msft.it/63325sdQOd

#AzureCosmosDB #Azure #AI

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Azure Cosmos DB Azure Cosmos DB is a fully managed and serverless NoSQL and vector database for modern app development and AI Apps. Developers can build NoSQL and MongoDB applications, and migrate their MongoDB workloads to Azure Cosmos DB, and enjoy instant and dynamic scalability, single-digit millisecond response times, and up to 99.999% high availability, backed by SLAs.

Want the latest dev tips, demos & sessions on #AzureCosmosDB? 🚀
Subscribe to the YouTube channel & never miss an update:
📺 msft.it/63329sdt7f

#Azure #DevCommunity

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