Public Preview: Shape and Control Workloads with Throughput Buckets in Azure Cosmos DB
Imagine your application is processing customer checkouts in real-time, while a background process synchronizes data for reporting. Suddenly, the seamless user experience falters because the sync job consumes more RU/s than anticipated. Many teams face a common challenge: multiple workloads share the same container resources, yet each has different performance requirements. We’re excited to introduce […]
The post Public Preview: Shape and Control Workloads with Throughput Buckets in Azure Cosmos DB appeared first on Azure Cosmos DB Blog.
Published on:
Learn moreWe can help you with Public Preview: Shape and Control Workloads with Throughput Buckets in Azure Cosmos DB
If you want help implementing, troubleshooting, or improving this product, contact us and we’ll point you in the right direction.
Related posts
Azure Cosmos DB in the Agentic Era: Data Tools for Developers and AI Agents
Anthropic’s 2026 Agentic Coding Trends Report captures an important tension in how developers use AI. Engineers report using AI in rough...
I Enabled RBAC and Everything Broke. What Did I Do Wrong?
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, sw...
Native Agent Memory for Microsoft Agent Framework, Powered by Azure Cosmos DB
Recently we introduced the Agent Memory Toolkit and the Agentic Retrieval Toolkit for Azure Cosmos DB. The Agent Memory Toolkit gives your age...
AI agents, meet the Azure Cosmos DB vNext emulator
If you use the Azure Cosmos DB vNext emulator, you probably know the local development loop: start the emulator, connect to it, create some re...
Building on Vercel’s eve + Azure Cosmos DB: An Agent That Remembers
Most “AI agent” demos forget everything the moment the process exits. That’s fine for a toy project, but useless for anythin...
See our new Azure Cosmos DB Design Patterns
Design patterns are where good data modeling lives or dies. In a NoSQL database like Azure Cosmos DB, the difference between a schema that sca...
Need a different partition key in Azure Cosmos DB? Pick the right approach
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 ca...
Spring AI 2.0 is GA: Vector Search, Memory, and Agents on Azure Cosmos DB
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 int...
Which Azure Cosmos DB Role Does My App Need?
In the previous post in the series, we covered the security decisions you make on day one. In this part, we will talk about how to give your a...
How to Use Deep Agents with Azure Cosmos DB – Plan, act, and verify against operational data
Deep Agents is an agent harness built on LangGraph, for agents that need to work through a task over many steps instead of a single LLM call. ...