![[The AI Show Episode 142]: ChatGPT’s New Image Generator, Studio Ghibli Craze and Backlash, Gemini 2.5, OpenAI Academy, 4o Updates, Vibe Marketing & xAI Acquires X](https://www.marketingaiinstitute.com/hubfs/ep%20142%20cover.png)
![From drop-out to software architect with Jason Lengstorf [Podcast #167]](https://cdn.hashnode.com/res/hashnode/image/upload/v1743796461357/f3d19cd7-e6f5-4d7c-8bfc-eb974bc8da68.png?#)
.png?#)
(1).jpg?width=1920&height=1920&fit=bounds&quality=80&format=jpg&auto=webp#)
_NicoElNino_Alamy.png?#)
.webp?#)
.webp?#)
![Apple to Source More iPhones From India to Offset China Tariff Costs [Report]](https://www.iclarified.com/images/news/96954/96954/96954-640.jpg)
![Blackmagic Design Unveils DaVinci Resolve 20 With Over 100 New Features and AI Tools [Video]](https://www.iclarified.com/images/news/96951/96951/96951-640.jpg)
Building Decoupled Applications using Amazon SQS
**I **just completed an hands-on lab on "Building Decoupled Applications using Amazon SQS" — an d it had lots of wow moment, what a learning experience! As an aspiring Solutions Architect, I got to break down monolithic structures and build a more resilient, scalable, and event-driven architecture in the AWS Cloud. Here’s how it went: Phase 1: I started with a Node.js-based application in AWS Cloud9 where the web server and application server were tightly coupled. It worked—but it was not without its ‘read an AWS documentation moments.’ Phase 2: Enter Amazon SQS and Amazon SNS. In a new Cloud9 environment, I decoupled the components—so now, the web server and app server could operate independently, communicate asynchronously, and scale much more efficiently. Here’s what I did, step-by-step: Installed and tested the image processing application. Set up Amazon SQS to queue jobs for processing. Configured Amazon SNS for fan-out messaging and notifications Set up S3 event triggers and the right IAM permissions Subscribed endpoints to the SNS topic Tuned parameters, ran tests, and watched it all come together! The application now accepts images, queues them, processes them into tinted versions, and notifies systems asynchronously. That’s the power of decoupling.
**I **just completed an hands-on lab on "Building Decoupled Applications using Amazon SQS" — an
d it had lots of wow moment, what a learning experience!
As an aspiring Solutions Architect, I got to break down monolithic structures and build a more resilient, scalable, and event-driven architecture in the AWS Cloud. Here’s how it went:
Phase 1:
I started with a Node.js-based application in AWS Cloud9 where the web server and application server were tightly coupled. It worked—but it was not without its ‘read an AWS documentation moments.’
Phase 2:
Enter Amazon SQS and Amazon SNS. In a new Cloud9 environment, I decoupled the components—so now, the web server and app server could operate independently, communicate asynchronously, and scale much more efficiently.
Here’s what I did, step-by-step:
- Installed and tested the image processing application.
- Set up Amazon SQS to queue jobs for processing.
- Configured Amazon SNS for fan-out messaging and notifications
- Set up S3 event triggers and the right IAM permissions
- Subscribed endpoints to the SNS topic
- Tuned parameters, ran tests, and watched it all come together! The application now accepts images, queues them, processes them into tinted versions, and notifies systems asynchronously. That’s the power of decoupling.
