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Building Production-Grade Web Applications with Supabase

Building Production-Grade Web Applications with Supabase

By : David Lorenz
4.5 (11)
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Building Production-Grade Web Applications with Supabase

Building Production-Grade Web Applications with Supabase

4.5 (11)
By: David Lorenz

Overview of this book

Discover the powerful capabilities of Supabase, the cutting-edge, open-source platform flipping the script on backend architecture. Guided by David Lorenz, a battle-tested software architect with over two decades of development experience, this book will transform the way you approach your projects and make you a Supabase expert. In this comprehensive guide, you'll build a secure, production-grade multi-tenant ticket system, seamlessly integrated with Next.js. You’ll build essential skills for effective data manipulation, authentication, and file storage, as well as master Supabase's advanced capabilities including automating tasks with cron scheduling, performing similarity searches with artificial intelligence, testing your database, and leveraging real-time updates. By the end of the book, you'll have a deeper understanding of the platform and be able to confidently utilize Supabase in your own web applications, all thanks to David's excellent expertise.
Table of Contents (20 chapters)
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1
Part 1:Creating the Foundations of the Ticket System App
5
Part 2: Adding Multi-Tenancy and Learning RLS
10
Part 3: Managing Tickets and Interactions
15
Part 4: Diving Deeper into Security and Advanced Features

Image Proxy – helping to transform images on the fly

The Image Proxy service is a standalone, but complementary, service to the Storage service. It is used internally by the aforementioned storage service to pre-render images; for example, if you only need a thumbnail of a saved image and not the full resolution, you can use the Image Proxy service.

In the following figure, you’ll see a flow diagram illustrating what happens when you request a resized image from Supabase:

Figure 1.7: The service flow when requesting a resized image

Figure 1.7: The service flow when requesting a resized image

In the figure, you requested a file called cat.jpg, which we assume is high-resolution, and you want it to be downscaled to a size of 120 pixels. In that case, the Storage service will download the file from the S3 and pass it on to the ImageProxy service, which returns it to the Storage service after the transformation. The Storage service will then pass the result on to the one who requested it.

With the...

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Building Production-Grade Web Applications with Supabase
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