Azure Cosmos DB

Azure Cosmos DB

@azurecosmosdb.com

Fully managed NoSQL and relational database for modern app development with unlimited and instant scalability. Get news and updates from the team and community. https://azurecosmosdb.com

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Giving an app access to Azure Cosmos DB comes down to three questions: Who → managed identity What → role Where → scope This guide explains data-plane RBAC, built-in roles, and how to replace keys with DefaultAzureCredential. msft.it/63322vUHIw #AzureCosmosDB #Security

Starting in less than one hour! Join us for Agentic Coding with Azure Cosmos DB: From Idea to Working App We'll build an Azure Cosmos DB powered app and talk about some of the tooling that can help you get started doing the same! 8AM PT / 11 AM ET msft.it/63328vl9ha

msft.itAgentic Coding with Azure Cosmos DB: From Idea to Working AppPart of the Modern AI Apps with Azure Cosmos DB Series.What happens when you move beyond autocomplete and start building applications with an AI coding agent...

Azure Cosmos DB Conf 2026 recap with Jay Gordon and Patty Chow on The Ravit Show. Agent memory, native hybrid search, OpenAI's scale story, the Azure Cosmos DB Agent Kit. msft.it/63324vYhBo #AzureCosmosDB

msft.itCosmosDB Conf 2026 Key Takeaways: OpenAI Scale, Agent Memory & AI-Native DatabasesWhat happens when the database becomes an active participant in AI applications instead of just a place to store data? In this session of The Ravit Show, I sat down with Jay Gordon and Patty Chow to unpack the biggest announcements and takeaways from CosmosDB Conf!!!! One theme stood out throughout the conference: AI is not just changing applications. It's changing the database itself. We discussed: - How OpenAI scales from zero to millions of queries per second - Why Walmart relies on globally distributed architectures to keep checkout systems running during failures - How vector search, full-text search, and hybrid search are becoming native database capabilities - The rise of agent memory architectures and AI-native applications - Why developers need real-time visibility into query costs - How to think about CosmosDB vs Azure DocumentDB based on workload requirements - What the Azure CosmosDB Agent Kit means for developers building AI-powered systems One of my biggest takeaways was that retrieval is increasingly moving into the database layer itself. Instead of stitching together multiple services, developers can now work with a more unified approach to search, AI, and data. If you're building AI applications, working with data infrastructure, or trying to understand where databases are headed next, this conversation is worth watching. The full interview is now live. What was your biggest takeaway from CosmosDB Conf this year? #data #ai #azure #cosmosDB #microsoft #api #microservices #theravitshow

Azure Backup for Azure Cosmos DB is in public preview. Immutable recovery points can't be modified or deleted before the retention period expires. Ransomware can't touch them. Long-term retention included. 🔒 msft.it/63327vY4Of #AzureCosmosDB

msft.itAzure Backup for Azure Cosmos DB Public Preview Adds Immutable Backups and Long-Term Retention - Azure Cosmos DB BlogAzure Backup for Azure Cosmos DB delivers immutable backups, long-term retention, centralized management, and flexible restore options in public preview.

At Azure Cosmos DB Conf 2026, engineers from OpenAI, Vercel, Walmart, and Microsoft shared lessons from real systems at scale—covering partitioning, RU efficiency, AI memory, and event-driven design. New recap: msft.it/63329vzt6L #AzureCosmosDB #AzureCosmoDBConf

3 hours out from Azure Cosmos DB Conf 2026. If you build modern apps, AI agents, or data-intensive systems on Azure — this is the day to show up. 🕘 9:00 AM PT keynote with leaders from Vercel, OpenAI, Walmart, and AMD 📺 msft.it/63327vGW19 #AzureCosmosDBConf #AzureCosmosDB

msft.itAzure Cosmos DB Conf 2026 | Live StreamAzure Cosmos DB Conf 2026 is a free, global, developer first conference focused on building high scale, distributed, and AI powered applications with Azure C...

The Cosmos DB Conf Skills Challenge covers data modeling, partitioning, queries, and AI patterns with Azure Cosmos DB. First 500 to complete can get a 100% discount on the DP-420 exam. Start here: msft.it/63321vEHmt #AzureCosmosDB #AzureCosmosDBConf

Hybrid search in Azure DocumentDB combines vector search and full-text scoring into a unified ranking model using Reciprocal Rank Fusion. Build search experiences that support semantic and keyword queries together. msft.it/63320QpUIq #AzureDocumentDB #HybridSearch

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

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

msft.itMaximize Azure Cosmos DB Performance with Azure Advisor RecommendationsAzure 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

LinkedIn Save the date 📅 Azure Cosmos DB Conf 2026 is coming on April 28, 2026 from 9:00 AM–12:00 PM PT. Mark your calendar, start shaping your ideas, and visit the site for the latest news and upcoming Call for Proposals. #AzuireCosmosDBConf 🔗 msft.it/63328t2gRG

Save the date 📅 Azure Cosmos DB Conf 2026 is happening on April 28, 2026 from 9:00 AM–12:00 PM PT. Mark your calendar and visit the website for the latest news, updates, and details on the upcoming Call for Proposals. #AzureCosmosDBConf msft.it/63323tFhFL

Mark your calendars 📅 Azure Cosmos DB Conf 2026 is happening April 28, 2026 from 9 AM–12 PM PT. Start thinking about your ideas, get those proposals ready, and be part of Azure Cosmos DB Conf 2026. Visit the site for news and updates — CFP coming soon 👀 msft.it/63325tFIIS

📢 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

🎲 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

msft.itCustomer Story: Scaling Anti-Money Laundering Compliance with Azure Cosmos DBMike 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

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

msft.itQuickstart - Azure SDK for Node.js - Azure Cosmos DB for NoSQLDeploy 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.

We’re live! 🎥 Farah Abdou is showing how to build scalable LLM evaluation pipelines with Azure Cosmos DB. Join now: msft.it/63329sZMZ7

msft.itBuilding Scalable LLM Evaluation Pipelines with Azure Cosmos DBThis 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/63323sZMZS • Subscribe to this channel - https://msft.it/63325sZMZt • Check out past meetups on YouTube to catch anything you might have missed - https://msft.it/63327sZMZv • Want to present at a future meetup? Fill out our intake form - https://msft.it/63329sZMZx • Try Azure Cosmos DB Free - https://msft.it/63321sZMZL • Microsoft Reactor - https://msft.it/63323sZMZF • Follow Azure Cosmos DB on X - https://msft.it/63325sZMZN • Follow Azure Cosmos DB on LinkedIn - https://msft.it/63327sZMZf 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

We’re live in 30 minutes! Join us at 11 AM PT / 2 PM ET for a hands-on session with Azure Cosmos DB + LLM evaluation pipelines. Watch here: msft.it/63321sZMph

msft.itBuilding Scalable LLM Evaluation Pipelines with Azure Cosmos DBThis 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/63327sZMpv • Subscribe to this channel - https://msft.it/63329sZMpx • Check out past meetups on YouTube to catch anything you might have missed - https://msft.it/63321sZMpL • Want to present at a future meetup? Fill out our intake form - https://msft.it/63323sZMpF • Try Azure Cosmos DB Free - https://msft.it/63325sZMpN • Microsoft Reactor - https://msft.it/63327sZMpf • Follow Azure Cosmos DB on X - https://msft.it/63328sZMpA • Follow Azure Cosmos DB on LinkedIn - https://msft.it/63320sZMpC 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

msft.itBuilding Scalable LLM Evaluation Pipelines with Azure Cosmos DBThis 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