Falcon is a lightweight web framework specifically crafted for building APIs in Python, known for its exceptional performance and efficiency. It emphasizes a minimalist design philosophy, enabling developers to create high-speed RESTful APIs with minimal overhead. This approach allows for better optimization and control, making it especially suitable for applications that require fast processing and responsiveness, such as e-commerce platforms and real-time data services.

One of Falcon’s standout features is its ability to handle a high volume of requests concurrently. Utilizing the WSGI (Web Server Gateway Interface) standard, it ensures low-latency response times, making it capable of serving thousands of requests per second. This scalability is critical for applications in today’s fast-paced digital landscape, where users demand quick interactions and seamless experiences.

Additionally, Falcon supports asynchronous programming, allowing developers to implement non-blocking I/O operations. This feature is crucial for applications that need to manage multiple requests simultaneously without delays, which is particularly beneficial for real-time applications that process data from various sources.

Falcon also provides robust middleware support, enabling developers to easily integrate features such as authentication, logging, and error handling into their applications. This modularity ensures that developers can maintain clean code while extending functionality as needed. Furthermore, Falcon’s well-documented framework facilitates easy onboarding for developers of all skill levels, providing ample examples and guidance to help them get started quickly.

To subscribe to this product from Azure Marketplace and initiate an instance using the Azure compute service, follow these steps:

1. Navigate to Azure Marketplace and subscribe to the desired product.
2. Search for “virtual machines” and select “Virtual machines” under Services.
3. Click on “Add” in the Virtual machines page, which will lead you to the Create a virtual machine page.
4. In the Basics tab:

• • Ensure the correct subscription is chosen under Project details.
  • Opt for creating a new resource group by selecting “Create new resource group” and name it as “myResourceGroup.”

5. Under Instance details:

• • Enter “myVM” as the Virtual machine name.
  • Choose “East US” as the Region.
  • Select “Ubuntu 18.04 LTS” as the Image.
  • Leave other settings as default.

6. For Administrator account:

• • Pick “SSH public key.”
  • Provide your user name and paste your public key, ensuring no leading or trailing white spaces.

7. Under Inbound port rules > Public inbound ports:

• • Choose “Allow selected ports.”
  • Select “SSH (22)” and “HTTP (80)” from the drop-down.

8. Keep the remaining settings at their defaults and click on “Review + create” at the bottom of the page.
9. The “Create a virtual machine” page will display the details of the VM you’re about to create. Once ready, click on “Create.”
10. The deployment process will take a few minutes. Once it’s finished, proceed to the next section.

To connect to the virtual machine:

1. Access the overview page of your VM and click on “Connect.”
2. On the “Connect to virtual machine” page:

• • Keep the default options for connecting via IP address over port 22.
  • A connection command for logging in will be displayed. Click the button to copy the command. Here’s an example of what the SSH connection command looks like:
    “`
    ssh [email protected]
    “`

3. Using the same bash shell that you used to generate your SSH key pair, you can either reopen the Cloud Shell by selecting >_ again

or going to https://shell.azure.com/bash.
4. Paste the SSH connection command into the shell to initiate an SSH session.

Usage/Deployment Instructions

Anarion Technologies – Falcon with Numpy-Pandas

Note: Search product on Azure marketplace and click on “Get it now”

Click on Continue

Click on Create

Creating a Virtual Machine, enter or select appropriate values for zone, machine type, resource group and so on as per your choice.

After Process of Create Virtual Machine. You have got an Option Go to Resource Group 

Click Go to Resource Group

Copy the Public IP Address

Click on the Network Security Group: falcon-nsg

Click on Inbound Security Rule

Click on Add

Add Port

Add Port

Destination
Port Ranges Section*  (where default value is 8080)

8000

Select Protocol as TCP

Option Action is to be Allow

Click on Add     

Click on Refresh

Copy the Public IP Address

SSH into Terminal and Run these following Commands:

$ sudo su
$ sudo apt update

After the installation is complete, you can check that everything is working by importing them in Python:

$ python3 -c “import falcon, numpy, pandas; print(‘Falcon:’, falcon.__version__, ‘NumPy:’, numpy.__version__, ‘Pandas:’, pandas.__version__)”

Create a file called app.py with the following content:

When running the Falcon app with gunicorn, bind it to your server’s external IP address:

$ gunicorn -b 0.0.0.0:8000 app:app

Use the browser to access the application at “http://Instance IP Address:8000″

Falcon is working

ThankYou!!!