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Friday, November 29, 2024

Microsoft Price Administration updates—November 2024


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

As it’s possible you’ll know, November is the month for Microsoft’s largest buyer and associate occasion—Microsoft Ignite. This yr, we within the Price administration group, 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 main points.

Exports to Microsoft Cloth

Exports is an effective way to get your prices and value datasets on your storage, evaluation and reporting wants. It is extremely simple to arrange and you’ll configure it to run at a recurring schedule with no guide intervention. You may rapidly set it up utilizing the Azure portal or by means 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 one more to this listing! At Ignite, we introduced restricted availability of our Exports to Cloth connector OneLake. With this new function, you possibly can export your prices and value datasets on to Microsoft Cloth, saving you effort and time to ingest price information into Cloth out of your storage account.

Please be aware that this function isn’t typically obtainable but. You may join us to allow this performance on your account by submitting this type. Our group will get again to you through electronic 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 may mix information from a number of sources and leverage Cloth’s built-in Energy BI to create reporting dashboards for your corporation wants. Moreover, you should use pure language prompts to achieve insights into your information and for predictive analytics. Be taught extra about Cloth and its’ highly effective capabilities.

Azure OpenAI Service prices

Azure OpenAI view

In our final weblog, I wrote about how simple it’s to handle your Azure OpenAI Service prices in Price evaluation. You may 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 provision of a brand new built-in view: Azure OpenAI. On this new view, you possibly can view the prices of working all of your fashions for various time durations (precise and amortized each). This view additionally contains the prices for reservation purchases if the buying subscription is beneath the chosen scope.

You may entry this view in Price evaluation beneath All Views -> Good Views as proven within the screenshot beneath:

Azure OpenAI view under Smart views

Copilot simulation for Azure OpenAI Service

As you already know, Copilot is a superb device for getting your cost-related queries answered utilizing pure language. For instance, you possibly can ask Copilot your prices for working Azure OpenAI deployments as proven within the immediate beneath:

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

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

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

That is just 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 all the time, you possibly can proceed to make use of the pricing calculator for all of your estimation wants together with Azure OpenAI.

Azure Copilot to Price evaluation

We now have made an thrilling replace to your Copilot expertise for Price Administration by integrating Price evaluation into the Copilot generated responses. In many of the responses, you’ll discover a “View in Price evaluation” button which takes you to the personalized Price evaluation view based mostly in your immediate. This lets you take additional motion in Price evaluation like analyzing price with totally different parameters, sharing the view with others in your group, getting electronic mail alerts, and extra.

To start out 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 may stay centered in your activity in hand whereas Copilot does the required configurations for you!

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

New methods to save cash within the Microsoft Cloud

Listed below are some provides that may probably enable you to scale back prices:

Documentation updates

Listed below are a number of documentation updates you is perhaps excited by:

Wish to regulate all documentation updates? Try the Price Administration and Billing documentation change historical past within the azure-docs repository on GitHub. In the event you see one thing lacking, choose Edit on the high of the doc and submit a fast pull request. You can too submit a GitHub situation. We welcome and admire all contributions!

What’s subsequent?

These are only a few of the large updates from final month. Don’t overlook to take a look at the earlier Microsoft Price Administration updates. We’re all the time listening and making fixed enhancements based mostly in your suggestions, so please preserve the suggestions coming.



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