Program Manager @AzureCosmosDB (prev @VisualStudio)

Joined March 2012
So excited to announce GA of @AzureCosmosDB autoscale! Thanks to all who gave feedback in the preview. You can now: 🚀Set any custom max RU/s 📈Enable autoscale on existing databases/containers 👩‍💻Use ARM templates and our latest .NET & Java SDK to create autoscale resources
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Check out the latest preview of @AzureCosmosDB built-in Jupyter notebooks support! With C# notebooks you can: ✅Run C# code interactively 📦Bring in NuGet packages 🪐Use our built-in Cosmos .NET SDK 🎨Visualize your data ...all from #CosmosDB Data Explorer in the Portal!
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One of the most fun things about building the demo in @th0maswe1ss and I's session for #MSBuild was working on the notebook in #CosmosDB's Data Explorer and saving the changes immediately📔 You can check out the 2 notebooks we demo'd here on GitHub. github.com/deborahc/ContosoR…
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Want to run the notebooks yourself? Fork the repo, connect your Cosmos notebooks workspace to GitHub, and bring in the repo🎉 Doc: docs.microsoft.com/azure/cos…
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The SDK is pretty easy to use too. In our V3.9 of our #CosmosDB .NET SDK, you can now create and manage autoscale databases /containers: Samples: docs.microsoft.com/en-us/azu…
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And finally, monitor your app with @AzureMonitor or our built-in #CosmosDB portal metrics. Here's an workload that's been running for a while with autoscale. The blue line shows the actual RU/s the system scaled your provisioned throughput to. docs.microsoft.com/azure/cos…
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Excited to be at #MSBuild this year! Tune in to see us demo the latest in #AzureCosmosDB. 🎉
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Looking for a quick way to start learning #Azure #CosmosDB? Our built-in #Jupyter notebook samples make it super easy. Click on any sample, and it'll set you up with starter data, queries, and visualizations you can run.
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Another nice thing about notebooks - there's a ton of magics that make it easy to work with #CosmosDB. You can query a container and get the result back into a Pandas DataFrame, so you can use a familiar library to analyze the data.
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There's a convenient %%upload magic that takes any valid JSON file (with an array of JSONs) and inserts the data into your container. It even tells you the effective performance. Super useful when you just want to get data into a container quickly and run some queries.
Ever wanted to know the RU cost of just 1 read and write operation in Azure #CosmosDB, without writing code? In the RU Calculator, after signing in, upload your sample document, set reads/sec, writes/sec to 1, calculate, and view the RUs! cosmos.azure.com/capacitycal…
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