November 2020 - Page 88 of 94 - Dr. Ware Technology Services

Failed to subscribe to storage events for event trigger. Which permission is missing?

by Contributed | Nov 3, 2020 | Technology

This article is contributed. See the original author and article here.

A quick post about the error and fix. The customer tried to create a trigger activation and it fails.

Error:

Trigger activation failed for Trigger 1.
Failed to subscribe to storage events for event trigger: Trigger 1

The customer had the correct permissions he was the owner of the workspace as the matter of fact he was admin.

He also had a storage blob data contributor. So it seems everything was in place. Even though I checked the logs regards this failure and I saw there was a permission error.

Here it goes why:

https://docs.microsoft.com/en-us/azure/data-factory/how-to-create-event-trigger

“The integration described in this article depends on Azure Event Grid. Make sure that your subscription is registered with the Event Grid resource provider. For more info, see Resource providers and types. You must be able to do the Microsoft.EventGrid/eventSubscriptions/* action. This action is part of the EventGrid EventSubscription Contributor built-in role.”

Options are:

Owner permission on the storage

Eventgrid RBAC subscription contributor and reader on the Subscription

That is it!

Liliam UK Engineer

Dodo Pizza – Let's data take the lead

by Contributed | Nov 3, 2020 | Technology

This article is contributed. See the original author and article here.

Founded in 2011, Russian pizza franchise Dodo Pizza is one of Europe’s fastest-growing restaurant chains. “We are digitally transforming global pizza delivery,” tells Gleb Lesnikov, Cloud Architect at Dodo Pizza. “From our 600-plus locations, we generate a lot of data every single day. And we need to be able to interactively query that data, to explore it and gather insights. That’s what Azure Data Explorer has allowed us to do—for any kind of data, unstructured or structured. We’re ingesting 1TB per day now. We also spend less time operating the cluster because it’s automatic. It’s a night and day difference.”

VM Subscription Limits and Regional Capacity

by Contributed | Nov 3, 2020 | Technology

This article is contributed. See the original author and article here.

Understanding your subscription’s VM limits and regional VM capacity is important for 3 main scenarios:

You are planning to set up a large number of VMs across your labs.

You are planning to use GPUs.

You need to peer your lab account to a virtual network (VNet); for example, to access a licensing server.

If one of the above scenarios applies to you, we recommend that you open a Support ticket to pre-request capacity. By pre-requesting capacity, you can:

Ensure that your Azure subscription’s capacity limit for Azure Lab Services allows for the number of VMs and the VM size that you plan to use in your labs. All Azure subscriptions have an initial capacity limit that restricts how many VMs you can create inside your labs before you need to request for a limit increase. Read the following article to learn more: Capacity limits in Azure Lab Services.

Create your lab account within a region that has sufficient VM capacity based on the number of VMs and the VM size you plan to use in your labs. This is especially important if you need to peer your lab account to a VNet because both your lab account and VNet must be located in the same region. It’s important to pick a region that has sufficient capacity before you set this up.

In this post, we’ll look closer at the process for ensuring that there is sufficient regional capacity for your labs.

Problem

When your lab account is peered to a VNet, the location of your lab account and VNet determines the region where your labs are created. In the lab creation wizard, only VM sizes that have capacity in this region are shown in the list of available sizes. You may notice that you have the option to show unavailable sizes, but you are prevented from choosing these.

You have more flexibility to find available capacity when your lab account is not peered to a VNet. In this case, Azure Lab Services automatically looks for available VM capacity across all regions in the same geography as the lab account. However, you still may not be able to choose a VM size if none of the regions have available capacity. For example, currently in Canada, GPU sizes (e.g. NV series) are not offered in any regions. As a result, you must create your lab account in a geography that does have GPUs available.

You also can configure a setting called enable location selection (this setting is only available when your lab account is not peered to a VNet). This setting allows lab creators to choose a different geography from the lab account when they create a lab. Enabling this option gives lab creators the greatest flexibility to find a region that has available capacity for a VM size.

Regardless if you are using VNet peering or not, you can still run into unexpected capacity issues later. For example, when creating additional labs or increasing your lab’s VM pool size.

Solution

We recommend the following process to ensure that you pick a location that has sufficient capacity before you create your lab account and peer to a VNet:

Refer to the below link which shows VM sizes that are supported by each region.
- Virtual machines by region

Refer to the following link that shows the VM series that correlates with each VM size:
- VM sizing

Open a support ticket to request and reserve VM capacity for your labs. When you log a support ticket, please include the following information:
- Subscription id
- LocationRegion
- Estimated number of labs
- VM size for each lab
- Estimated number of VM in each lab
- Brief class descriptions for each lab

If you have any questions on this process, please reach out to us on the forums.

Additional Resources

Refer to the following help topics that provide more details on how regionslocations are configured for a lab:

Administrator Guide – Regionslocations

Allow lab creator to pick location for the lab in Azure Lab Services

Thanks,

Your Azure Lab Services Team

Microsoft 365 & SharePoint PnP Weekly – Episode 103

by Contributed | Nov 3, 2020 | Technology

This article is contributed. See the original author and article here.

In this installment of the weekly discussion revolving around the latest news and topics on Microsoft 365, hosts – Vesa Juvonen (Microsoft) | @vesajuvonen, Waldek Mastykarz (Microsoft) | @waldekm, are joined by Darrel Miller (Microsoft) | @darrel_miller, Developer, Evangelist, and API Architect on the Microsoft Graph (Developer Experience) team. The team that creates developer tooling – Graph Explorer, Graph SDK, Documentation, and the API Review Board that helps other Microsoft 365 teams (approx. 50) expose (with consistency) their APIs in Microsoft Graph.

Discussion on challenges getting developers to use the APIs, the _v2 property, evolution of the SDK, Microsoft Identity Web.MicrosoftGraph, auto-generated code, API surface quality control, and the Graph “no breaking change policy.” Microsoft Graph’s fundamental mission is making life easier for developers by rigorously coordinating consistency, non-duplication, and usage of the API surface by both Microsoft and partner developers. Coverage on 17 recently released articles and videos from Microsoft and the PnP Community are highlighted as well.

This episode was recorded on Monday, November 2, 2020.

Microsoft 365 PnP Weekly – Episode 103

Did we miss your article? Please use #PnPWeekly hashtag in the Twitter for letting us know the content which you have created.

As always, if you need help on an issue, want to share a discovery, or just want to say: “Job well done”, please reach out to Vesa, to Waldek or to your PnP Community.

Sharing is caring!

How to Create a No Code AI App with Azure Cognitive Services and Power Apps

by Contributed | Nov 2, 2020 | Technology

This article is contributed. See the original author and article here.

You might have an idea for an application using AI and not have anyone to build it. You might be a programmer and want to try out your ideas and Azure Custom Vision before you start writing code. No matter what your coding skills are, if you want to prototype an application with AI, Power Platform and it’s AI Builder feature is a fast and easy option.

This article explains what is Power Platform, as well as go through a step by step process to create an application that detects objects from photos using Power Apps and AI Builder. Check out the video below to see the app we will build to detect different Mixed Reality Headsets such as HoloLens version 1 and 2 Augmented Reality and Virtual Reality headsets and their hand controllers.

What is Power Platform?

Power Platform is a set of tools, API‘s and SDK‘s that helps you analyze your data and build automations, applications and virtual agents with or without having to write any code.

What are Power Apps?

Power Apps is a set of tools that allows you to create applications with a drag and drop UI and easy integration of your data and 3rd party APIs through connectors.

A connector is a proxy or a wrapper around an API that allows the underlying service to talk to Microsoft Power Automate, Microsoft Power Apps, and Azure Logic Apps. It provides a way for users to connect their accounts and leverage a set of pre-built actions and triggers to build their apps and workflows. For example, you can use Twitter connector to get tweet data and visualize it in a dashboard or use Twilio connector to send your users text messages without having to be an expert in Twitter or Twilio APIs or having to write a line of code.

Check out the list of connectors for Power Apps to see all the APIs that are available. Notice Power Automate or Logic App connectors might not be the same.

What is AI Builder?

AI Builder is one of the additional features of Power Apps. With AI Builder, you can add intelligence to your apps even if you have no coding or data science skills.

What are some of the use cases for AI Builder?

You can use pre-trained models to:

Detect objects from images

Analyze your customers sentiment from feedback

Detect keywords from text

Extract specific information about your business from text

Is AI Builder the right choice?

Great question! There are so many tools out there and many ways to do the same thing. How do you know which one is the right solution before investing time and effort?

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I have a rule of thumb when I want to build something, use whatever is available and easy to use first. When your needs exceed what the tool you are using covers, look into another solution or building it yourself.

Use the tool easiest to get started when you are building your idea. When your needs exceed the capabilities of the tool you are using, find a solution that enables you. Don’t invest in building things from scratch before you know it is worth it to do so.

For example, if you have an app idea, it is better to have a prototype running as easily as possible. You can test your ideas before investing your time into building custom designed UI or features. In our specific case, you can first prototype your app with the drag and drop UI of Power Apps and using prebuilt AI models. When your specific needs surface, such as recognizing a particular object or keyword, you can invest your time into creating your custom models to train for the object or keyword detection.

Can I use Power Apps and AI Builder for production?

Yes you can. As any tool that does things magically, AI Builder in Power Apps comes with a cost. That does not mean you can’t try your ideas out for free.

What will my production app cost?

If you want to go to production with Power Apps, it is a good idea to consider the costs. Thankfully there is an app for that. AI Builder Calculator let’s you input what AI tools you will need and how many users will be accessing your app’s AI features and gives you the price it will cost you.

What are preview features?

AI Builder was released for public preview on June 10, 2019 in Europe and the United States. Preview release features are subject to change and may have restricted functionality before the official release for general availability. Preview releases are not meant for production use. You can try them out and influence the final product by giving feedback.

The General Availability (GA) release will occur in a phased manner, with some features remaining in preview status while others are released for GA. You can check out the release status on the AI Builder documentation.

What is Object Detection?

AI Builder Object detection is an AI model that you can train to detect objects in pictures. AI models usually require that you provide samples of data to train before you are able to perform predictions. Prebuilt models are pre-trained by using a set of samples that are provided by Microsoft, so they are instantly ready to be used in predictions.

Object detection can detect up to 500 different objects in a single model and support JPG, PNG, BMP image format or photos through the Power Apps control.

How to try out Object Detection capabilities?

You can try out and see how object detection works before having to create and accounts or apps yourself on the Azure Computer Vision page.

What can you do with Object Detection?

Object counting and inventory management

Brand logo recognition

Wildlife animal recognition

How to detect objects from images?

To start creating your AI model for your app, sign in to Power Apps and click on AI Builder on the left hand menu. Select Object Detection from the “Refine Model for your business needs” option.

Name your new AI model with a unique name. Select Common Objects and proceed to next section.

Name the objects that you are going to detect.

Upload images that contain the object you will detect. To start with you can upload 15 images for each object.

Make sure each object has approximately the same amount of images tagged. If you have more examples of one object, the training data will be likely to detect that object when it is not.

Tag your objects by selecting a square that your object is in and choosing the name of the object.

Once you are done choose Done Tagging and Train. Training process will take some time.

If you choose to not use an image or clear any tags, you can do that at any time by going back to your model under the AI Builder on the left hand side menu and choose your model and choose edit.

AI Builder will give you a Performance score over 100 and a way to quickly test your model before publishing. You can edit your models and retrain to improve your performance. Next section will give you some best practices to improve your performance.

How to improve Model performance?

Getting the best model performance for your business can be a rather iterative process. Results can vary depending on the customizations you make to the model, and the training data you provide.

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To help facilitate this process, AI Builder allows you to have multiple versions of your model so you can use your model and continue to improve it at the same time.

What are some best practices for training for object detection?

Use diverse images to train with all possible use cases. For example if you are training your data to detect a VR headset, use images of the headset used in different environments as well as the out of the box images. If you only train with images with people wearing the headset, your model would not recognize images of the same device when it is in its box.

Use images with variety of backgrounds. Photos in context are better than photos in front of the neutral backgrounds.

Use training images that have different lighting. For example, include images images taken with flash, high exposure, and so on.

Use images of objects in varied sizes. Different sizing helps the model generalize better.

Use images taken from different angles. If all your photos are from a set of fixed cameras such as surveillance cameras, assign a different label to each camera. This can help avoid modeling unrelated objects such as lampposts as the key feature. Assign camera labels even if the cameras capture the same objects.

How to share your models?

By default, only you can see the models you create and publish. This feature allows you to test them and use them within apps and flows without exposing them.

If you want others to use your model, you can share it with specific users, groups, or your whole organization.

How to use your Custom Vision model in a Power App?

Once you are happy with you model’s performance, you can add it to a new app by choosing Use model and New app.

You will be redirected to Power App editor and an Object Detection component that uses your model will be added automatically. In the editor, you can add new pages to navigate, design and customize your pages.

What’s next?

Now you have your app’s prototype, you can add more features, get feedback and test your app.

Should I keep using my power app or rebuild it?

When your needs change, you can consider refactoring your application to a serverless backend and a custom built UI. If the app is working fine for you and your users, you can continue using and improving overtime using Power Apps.

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What would be the changes that requires the upgrade? There are two possibilities for the changed requirements for your app:

Feature

Budget

How to create a custom feature for Power Apps?

Ready made tools are always limited to the features the product team decides to include. If you are writing custom code, you can add any feature that you need. Thankfully, for the features that are not implemented yet, it is always possible to author a custom connector that you can use with or without Power Apps.

A connector is a proxy or a wrapper around an API that allows the underlying service to talk to Microsoft Power Automate, Microsoft Power Apps, and Azure Logic Apps. It provides a way for users to connect their accounts and leverage a set of pre-built actions and triggers to build their apps and workflows.

Check out the list of Power Apps Connectors and how to build a custom connector yourself.

How to compare costs for Power Apps and Logic Apps?

Once you start using your app, you will have a better idea about the number of users accessing AI capabilities and the number of images that you need to train. You can use AI Builder Cost Calculator and Logic App Cost Calculator to compare options. You can check any other service price through Azure Product Cost Calculator.