Microsoft Price Administration updates—November 2024


At Microsoft Ignite, we introduced key product updates to allow your FinOps journey.

As you could know, November is the month for Microsoft’s largest buyer and companion occasion—Microsoft Ignite. This yr, we within the Price administration staff, introduced key product updates at this occasion to allow your FinOps journey. Beneath, you’ll discover a abstract of those enhancements. We invite you to discover and take full benefit of those new options!

Let’s dig into the small print.

Exports to Microsoft Cloth

Exports is a good way to get your prices and worth datasets on your storage, evaluation and reporting wants. It is vitally straightforward to arrange and you may configure it to run at a recurring schedule with no guide intervention. You’ll be able to rapidly set it up utilizing the Azure portal or by way of the API. This yr we’ve made a number of enhancements to our exports resolution together with assist for extra datasets, assist for parquet format and compression. We simply added yet another to this record! At Ignite, we introduced restricted availability of our Exports to Cloth connector OneLake. With this new function, you may export your prices and worth datasets on to Microsoft Cloth, saving you effort and time to ingest price information into Cloth out of your storage account.

Please word that this function shouldn’t be usually out there but. You’ll be able to join us to allow this performance on your account by submitting this manner. Our staff will get again to you by way of e mail with related directions within the January timeframe.

With Microsoft Cloth, you get a unified platform on your information storage, evaluation, and reporting wants. You’ll be able to mix information from a number of sources and leverage Cloth’s built-in Energy BI to create reporting dashboards for your enterprise wants. Moreover, you should use pure language prompts to achieve insights into your information and for predictive analytics. Study extra about Cloth and its’ highly effective capabilities.

Azure OpenAI Service prices

Azure OpenAI view

In our final weblog, I wrote about how straightforward it’s to handle your Azure OpenAI Service prices in Price evaluation. You’ll be able to analyze prices for various time durations, monitor prices utilizing scheduled emails and budgets, and optimize your prices by leveraging Azure OpenAI provisioned reservations.

To make it even simpler so that you can analyze your Azure OpenAI prices, we’re thrilled to announce the supply of a brand new built-in view: Azure OpenAI. On this new view, you may view the prices of working all of your fashions for various time durations (precise and amortized each). This view additionally consists of the prices for reservation purchases if the buying subscription is underneath the chosen scope.

You’ll be able to entry this view in Price evaluation underneath All Views -> Good Views as proven within the screenshot under:

Azure OpenAI view under Smart views

Copilot simulation for Azure OpenAI Service

As you already know, Copilot is a good software for getting your cost-related queries answered utilizing pure language. For instance, you may ask Copilot your prices for working Azure OpenAI deployments as proven within the immediate under:

Copilot prompt to ask costs for Azure OpenAI for the last six months.

Now, we’ve prolonged our Copilot capabilities to even provide help to estimate prices on your Azure OpenAI token-based deployments. An instance immediate is included under:

Screenshot showing Copilot prompt to estimate the costs if token usage increased by 15%

That is only the start, we are going to proceed to make enhancements to assist extra simulation eventualities making it simpler so that you can estimate and therefore plan on your Azure spend.

As at all times, you may proceed to make use of the pricing calculator for all of your estimation wants together with Azure OpenAI.

Azure Copilot to Price evaluation

We’ve made an thrilling replace to your Copilot expertise for Price Administration by integrating Price evaluation into the Copilot generated responses. In a lot of the responses, you’ll discover a “View in Price evaluation” button which takes you to the personalized Price evaluation view primarily based in your immediate. This allows you to take additional motion in Price evaluation like analyzing price with completely different parameters, sharing the view with others in your staff, getting e mail alerts, and extra.

To begin using this function, merely ask your cost-related query such as you would usually do. There is no such thing as a additional configuration wanted. For instance:

Copilot prompt and response to see the costs break down in October.

Clicking on the “View in Price Evaluation” button from the response will open a brand new Price evaluation view grouped by service identify for October 2024. You’ll be able to stay centered in your activity in hand whereas Copilot does the required configurations for you!

In case you nonetheless haven’t given Copilot in Azure a strive on your cost-related questions, I strongly encourage you to strive some pattern prompts we’ve so that you can get began.

New methods to economize within the Microsoft Cloud

Listed below are some gives that may probably provide help to scale back prices:

Documentation updates

Listed below are a number of documentation updates you may be concerned with:

Wish to keep watch over all documentation updates? Try the Price Administration and Billing documentation change historical past within the azure-docs repository on GitHub. In case you see one thing lacking, choose Edit on the high of the doc and submit a fast pull request. You may also submit a GitHub challenge. We welcome and admire all contributions!

What’s subsequent?

These are just some of the massive updates from final month. Don’t overlook to take a look at the earlier Microsoft Price Administration updates. We’re at all times listening and making fixed enhancements primarily based in your suggestions, so please hold the suggestions coming.



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