Agentic CI/CD with Azure Cosmos DB: Isolated Environments for a Swarm of AI Agents
Give each coding task its own disposable database environment, then merge the reviewed changes – not the test database. When parallel co...
Give each coding task its own disposable database environment, then merge the reviewed changes – not the test database. When parallel co...
Explore local data from the terminal with Azure Cosmos DB Shell. Connect to the emulator, inspect FleetCharge documents, run queries, and poin...
Follow an AI application from a blank folder to a system built for production AI application development often starts with a promising prototy...
When you change a database-backed feature, a successful HTTP response isn’t enough. You need to know that the write reached storage, the...
In our previous post, we introduced the private preview of Safe Key Rotation, a feature that helps Azure Cosmos DB customers avoid service dis...
Over a typical 2 day window, we record 10 times as many emulator sessions lasting more than 30 minutes for vNext as for the legacy emulator. O...
Co-authored with Praveen Raja P Azure Cosmos DB already includes a powerful event foundation: change feed provides a durable, ordered record o...
The first few minutes of a new AI project often feel productive. Create a chat endpoint, connect a model, send a prompt, and display the answe...
You own the account, wrote the application, and would be the one fixing it if something broke. So role-based access control (RBAC) can sound l...
This tutorial shows how common Elasticsearch search requests can be expressed using Azure Cosmos DB query patterns. Some Elasticsearch capabil...
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