Skip To Main Content
Mark Brown on Muck Rack

Mark Brown

As seen in: Microsoft Developer Blogs, MSN, MSN Ireland, MSN UK, BBC, The Independent (UK), WIRED (UK), WIRED Magazine, Medical News Today, Bored Panda and
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Mark

Contact Mark, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

See our new Azure Cosmos DB Design Patterns

|
By Mark Brown
| Microsoft Developer Blogs
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 you fan out work, how you keep concurrent writers from stepping on each other. That’s exactly what the Azure Cosmos DB Design Patterns repo is for.
Open in Who Shared Issue with article?

Azure Cosmos DB Conf 2026 Recap: Lessons from Production

|
By Mark Brown
| microsoft.com
A team was running at 100% RU utilization. Throttles were compounding into retries. P99 latency was degrading. The assumption was obvious: provision more throughput. They didn’t. Instead, they found a single logical partition absorbing more than 80% of traffic. After fixing the data model—without scaling the database—RU utilization dropped to 20–35%, throttling vanished, and latency normalized.
Open in Who Shared Issue with article?

Azure Cosmos DB TV Recap: Supercharging AI Agents with the Azure Cosmos DB MCP Toolkit (Ep. 110) - Azure Cosmos DB Blog

|
By Mark Brown
| Microsoft Developer Blogs
In Episode 110 of Azure Cosmos DB TV, host Mark Brown is joined by Sajeetharan Sinnathurai to explore how the Azure Cosmos DB MCP Toolkit is changing the way developers build, deploy, and scale AI agents using real application data. As agentic AI systems evolve, one challenge continues to surface: securely and consistently connecting AI agents to operational data—without rewriting integration logic for every platform.
Open in Who Shared Issue with article?
See all 63 licensed articles (73 Total)