How are you using AI?

While scrolling through Twitter aka X, I came across a post where someone uploaded an image of a human heart to ChatGPT, seeking an explanation tailored for a 9th grader. This sparked a thought in me: could I apply the same approach to well-known Azure Architectures?

The answer? Absolutely, yes.

I uploaded this image to ChatGPT.

I then asked ChatGPT how I would implement the architecture. The response:

Certainly! This architecture depicts a streaming data pipeline on Azure. Here's a detailed step-by-step guide on how to implement this architecture:

### 1. Event Sources:

Streaming Data, Logs/Files/Media, Customer Sentiment Data, Weather Data, and Business Applications

1. Identify and setup event sources. This could include IoT devices for streaming data, log generators for application logs, APIs for weather data, CRM systems for customer sentiment data, and business applications for transactional data.

2. Configure each data source to forward data to the next component. This often involves using SDKs or configuring out-of-the-box integrations to point to Azure Event Hubs.

### 2. Ingest:

Event Hubs

1. Set up Azure Event Hubs which will serve as the real-time ingestion layer. Create a namespace and then an event hub within that namespace.

2. Event Hubs supports AMQP, Kafka, and HTTPS protocols. Configure your data sources to send data using one of these protocols.

3. Optionally, set up the Schema Registry to ensure data consistency and compatibility as your schema evolves.

And the response continues for several more steps and includes tips.

While I've never set up this specific architecture, the steps appear sound. This led me to wonder: could ChatGPT to produce the PowerShell script for the setup? I've consistently relied on ChatGPT and Bing Chat to craft code, so I anticipated this task would be smooth sailing, and indeed it was.

As stated below, this would be the template to get you started but it’s a great start.

Deploying this architecture using PowerShell is quite involved and would require a substantial amount of scripting. Here, I'll provide a high-level template, split into sections, to guide you through the deployment. Note that this is a template, and you'll need to replace placeholders (`<...>`) with actual values relevant to your environment:

```powershell

# Login to Azure

Login-AzAccount

# Set the subscription

Set-AzContext -SubscriptionId <Your-SubscriptionId>

### 1. Event Hubs ###

# Create a resource group

New-AzResourceGroup -Name <ResourceGroupName> -Location <Location>

# Create an Event Hubs namespace

New-AzEventHubNamespace -ResourceGroupName <ResourceGroupName> -Name <EventHubNamespaceName> -Location <Location>

The instructions continue on as well as tips for implementing the script. Note it's not the full script but it is a great start.

But what if you want to use Terraform instead...no problem.

Implementing the provided architecture using Terraform involves writing Infrastructure as Code (IaC) to define and provision the infrastructure. Below is a high-level outline for deploying this architecture using Terraform. Note that this is a basic template and may require further refinements based on specific requirements.

```hcl

provider "azurerm" {

  features {}

}

resource "azurerm_resource_group" "example" {

  name     = "<ResourceGroupName>"

  location = "<Location>"

As with the other responses it continues.

While I'm always amazed by ChatGPT's capabilities, which we see showcased daily, what truly stands out is how you harness its potential. In a span of less than 10 minutes, I was able to draft both the guidelines and the architectural code. It might have its imperfections, but think about it: tasks that previously took us days can now be wrapped up in mere minutes.

As we journey ahead, it might be worthwhile to reflect on how you're evolving and staying vibrant in this dynamic landscape.