
The Azure Image Resizer is a powerful tool that simplifies cloud image management. It allows you to resize images in various formats, including PNG, JPEG, and GIF, with just a few clicks.
With the Azure Image Resizer, you can easily manage your cloud images by resizing them to specific dimensions. This feature is particularly useful for web developers and designers who need to optimize images for different screen sizes and devices.
The resizer supports a wide range of image formats, including PNG, JPEG, and GIF. You can also specify the compression level and quality of the output image.
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Azure Image Resizer Basics
Azure Functions can be used to resize images added to Azure Blob storage, making them suitable for embedding in Excel reports.
The SixLabors.ImageSharp package is a popular choice for image resizing in Azure Functions, but it's not always the most reliable option.
Using the latest version of the SixLabors.ImageSharp package is essential for getting the best results, as older versions may not behave as expected.
The package version 1.0.3 was used in the example code, but it's recommended to use the latest version available.
Here are some key settings to keep in mind when working with Azure Functions and image resizing:
Blob Storage Interaction
Blob Storage Interaction is a key aspect of Azure Image Resizer.
To interact with blob storage, you need to have two containers: one for input files and another for output.
These containers are used to store files that need to be resized.
When a file is uploaded to the input container, it gets picked up by the job, processed, and saved to the output container.
Marking your method with [BlobTriggerAttribute] and [BlobAttribute] ensures that the Azure SDK triggers your method when a new blob is uploaded.
This makes the code super simple and clear, allowing you to keep one transformation per method.
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The Challenge
Resizing images can be a daunting task, especially when dealing with large files.
Azure Functions can be used to resize images, but it requires the right code and configuration.
In the case of resizing Azure Blob images, a Power Automate flow can add images to the blob, but they need to be resized to fit into Excel reports.
The code for resizing images using Azure Functions and SixLabors.ImageSharp package is not always straightforward, and different versions of the package can lead to issues.
To overcome these challenges, it's recommended to use the latest version of the SixLabors.ImageSharp package in an in-process or isolated model, and adjust the resizing for the specific scenario.
The process of resizing a Golden Master in WVDAdmin involves several steps, including resizing the Windows partition, uploading the disk, resizing the disk, and creating a new managed disk.
Here's a summary of the steps involved in resizing a Golden Master:
- Resize the Windows partition to 31 Gbyte
- Upload the disk to a temporary storage account
- Resize the disk and write the signature for a 32 Gbyte disk
- Create a new 32 Gbyte managed disk
- Attach the disk to the VM
- Delete the temporary storage account
Maintenance Tips
To keep your Azure image resizer running smoothly, it's essential to have a central URL generator. This allows you to modify your front-facing URLs quickly, which is crucial if you need to implement or switch CDNs.
Having a central URL generator can save you a lot of headaches in the long run. By having a single point of control, you can easily update your URLs without having to dig through your codebase.
Designing for immutability is another key aspect of maintaining your Azure image resizer. This means that URLs should always return the same image, eliminating caching nightmares and allowing you to enable 'fastMode' on your S3/Azure/SQL readers.
Here are some key takeaways to keep in mind:
- Have a central URL generator.
- Design for immutability.
- Don't allow blobs to be edited, create a new blob instead.
By following these simple tips, you can ensure that your Azure image resizer is running efficiently and effectively.
Azure Function Details
Azure Functions is a serverless compute service that allows you to run small pieces of code, called functions, in response to events or on a schedule.
You can use Azure Functions to resize images in real-time, making it a great tool for web applications that need to handle a lot of image uploads.
Azure Functions supports a variety of languages, including C#, JavaScript, and Python, giving you the flexibility to choose the language you're most comfortable with.
Each function execution is billed separately, so you only pay for what you use, making it a cost-effective option for image resizing.
Azure Functions integrates seamlessly with Azure Blob Storage, making it easy to store and retrieve images for resizing.
Sources
- https://learn.microsoft.com/en-us/answers/questions/1488666/resize-or-compress-azure-blob-images-using-azure-f
- https://imageresizing.net/docs/cloud
- https://medium.com/royallyserverless/a-resizing-service-on-steroi-azure-functions-3d2d80f899bd
- https://chodounsky.com/2015/06/12/resize-images-in-blob-storage-with-azure-webjobs/
- https://blog.itprocloud.de/WVD-Shrink-the-OS-Disk-in-Azure-to-64-Gbyte/
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