December 4, 2024
Microsoft Value 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 accomplice occasion—Microsoft Ignite. This 12 months, we within the Value administration staff, introduced key product updates at this occasion to allow your FinOps journey. Under, 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 worth datasets in your storage, evaluation and reporting wants. It is rather straightforward to arrange and you may configure it to run at a recurring schedule with no handbook intervention. You possibly can shortly set it up utilizing the Azure portal or by way of the API. This 12 months we have now 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’ll be able to export your prices and worth datasets on to Microsoft Cloth, saving you effort and time to ingest value knowledge into Cloth out of your storage account.

Please notice that this function will not be usually accessible but. You possibly can join us to allow this performance in your account by submitting this form. Our staff will get again to you by way of electronic mail with related directions within the January timeframe.

With Microsoft Cloth, you get a unified platform in your knowledge storage, evaluation, and reporting wants. You possibly can mix knowledge 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 knowledge and for predictive analytics. Study extra about Fabric and its’ powerful 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 Cost analysis. You possibly can analyze prices for various time intervals, 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’ll be able to view the prices of working all of your fashions for various time intervals (precise and amortized each). This view additionally consists of the prices for reservation purchases if the buying subscription is beneath the chosen scope.

You possibly can entry this view in Value evaluation beneath All Views -> Sensible 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 good device for getting your cost-related queries answered utilizing pure language. For instance, you’ll be able to 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 have now prolonged our Copilot capabilities to even allow you to estimate prices in 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 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 in your Azure spend.

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

Azure Copilot to Value evaluation

We’ve got made an thrilling replace to your Copilot expertise for Value Administration by integrating Cost analysis into the Copilot generated responses. In a lot of the responses, you’ll discover a “View in Value evaluation” button which takes you to the personalized Value evaluation view primarily based in your immediate. This lets you take additional motion in Value evaluation like analyzing value with completely different parameters, sharing the view with others in your staff, getting electronic 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 Value Evaluation” button from the response will open a brand new Value evaluation view grouped by service identify for October 2024. You possibly can stay targeted in your job in hand whereas Copilot does the required configurations for you!

Should you nonetheless haven’t given Copilot in Azure a attempt in your cost-related questions, I strongly encourage you to attempt some pattern prompts we have now so that you can get began.

New methods to save cash within the Microsoft Cloud

Listed here are some gives that may probably allow you to scale back prices:

Documentation updates

Listed here are a couple of documentation updates you could be fascinated with:

Need to control all documentation updates? Try the Cost Management and Billing documentation change history within the azure-docs repository on GitHub. Should you see one thing lacking, choose Edit on the high of the doc and submit a fast pull request. You may as well submit a GitHub difficulty. We welcome and recognize 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 previous Microsoft Cost Management updates. We’re at all times listening and making fixed enhancements primarily based in your suggestions, so please preserve the suggestions coming.