Azure Cosmos DB Blog

In the last post we walked through why RBAC broke your app and how to fix it. Your app is now running on a managed identity, keys are off, and everything is green. Then your build pipeline runs, and it needs to seed test data. Suddenly you’re staring at a secret in your CI settings The post I Need My CI/CD Pipeline to Access Cosmos DB Without Using a Secret appeared first on Azure Cosmos DB Blog.

Move from a locally composed memory-enabled agent to a deployed Foundry Agent Service agent, with keyless Azure infrastructure and an interactive browser sample. In Native Agent Memory for Microsoft Agent Framework, Powered by Azure Cosmos DB, we introduced CosmosMemoryContextProvider: a Microsoft Agent Framework context provider that extracts useful information from conversations, stores it in Azure Cosmos DB, The post Powering Memory in Foundry Agent Service, with Azure Cosmos DB appeared first on Azure Cosmos DB Blog.

Anthropic’s 2026 Agentic Coding Trends Report captures an important tension in how developers use AI. Engineers report using AI in roughly 60% of their work, yet say they can fully delegate only 0–20% of their tasks. AI is becoming a constant collaborator, but it still needs setup, supervision, validation, and human judgment. That gap is The post Azure Cosmos DB in the Agentic Era: Data Tools for Developers and AI Agents appeared first on Azure Cosmos DB Blog.

We covered the roles your Azure Cosmos DB app needs in our previous post. Now let’s look at what happens after you’ve assigned those roles, switched identities, disabled keys and suddenly staring at a 403. As we continue this security series, we’ll walk through the most common causes, how to diagnose them, and how to The post I Enabled RBAC and Everything Broke. What Did I Do Wrong? appeared first on Azure Cosmos DB Blog.

Recently we introduced the Agent Memory Toolkit and the Agentic Retrieval Toolkit for Azure Cosmos DB. The Agent Memory Toolkit gives your agents durable, Cosmos-backed memory: it stores raw conversation turns and then distills them into higher-value derived memories (thread summaries, extracted facts, and cross-thread user profiles), all searchable with vector, full-text, and hybrid search in The post Native Agent Memory for Microsoft Agent Framework, Powered by Azure Cosmos DB appeared first on Azure Cosmos DB Blog.

If you use the Azure Cosmos DB vNext emulator, you probably know the local development loop: start the emulator, connect to it, create some resources, load test data, run queries, and inspect the results. Each step is straightforward, but together they add setup work before you can test the application you are actually building. How The post AI agents, meet the Azure Cosmos DB vNext emulator appeared first on Azure Cosmos DB Blog.

Most “AI agent” demos forget everything the moment the process exits. That’s fine for a toy project, but useless for anything real. An agent that helps you write, triage, or support needs two things a language model alone can’t give it: durable state and the ability to recall the right context by meaning. This post The post Building on Vercel’s eve + Azure Cosmos DB: An Agent That Remembers appeared first on Azure Cosmos DB Blog.

Design patterns are where good data modeling lives or dies. In a NoSQL database like Azure Cosmos DB, the difference between a schema that scales to millions of operations per second and one that fights you at every turn usually comes down to a handful of well‑understood patterns: how you partition, how you version, how The post See our new Azure Cosmos DB Design Patterns appeared first on Azure Cosmos DB Blog.

Once you create a container, its partition key is fixed at creation, and you can’t change it in place. However, if your original key starts causing problems like cross-partition queries or hot partitions, you need to consider your options for changing it. This post explains the mechanics of changing a partition key, and the tradeoffs between The post Need a different partition key in Azure Cosmos DB? Pick the right approach appeared first on Azure Cosmos DB Blog.

The wait is over. Spring AI 2.0 is generally available, and Azure Cosmos DB is right there with it. With this release, Spring AI graduates into a mature, production-ready framework for building AI applications in Java, and Azure Cosmos DB ships dedicated, vendor-maintained integrations that plug straight into the Spring AI ecosystem. The Spring AI 2.0 GA announcement The post Spring AI 2.0 is GA: Vector Search, Memory, and Agents on Azure Cosmos DB appeared first on Azure Cosmos DB Blog.