Python's versatility is one of its most appealing qualities, allowing developers to tackle various projects such as game development, APIs, IoT, machine learning, and web development. To scale applications effectively, it's crucial to build everything from the ground up with observability in mind. A thought experiment like Schrodinger's cat highlights the importance of observing deployed applications, which can be both throwing errors and running perfectly at the same time. The app demo created for this purpose demonstrates tracing and monitoring using AWS SQS and Lumigo, showcasing how fundamental concepts apply to real-life code. To get started with the demo, an AWS account and a connected Lumigo setup are required, along with an Amazon SQS queue and authorized IAM credentials. After cloning the repository and setting environment variables, the app can be deployed to ECS, where it's possible to observe its metrics using the Lumigo Dashboard. The demo also includes special commands like `cat`, `httstat`, and `meow` that demonstrate tracing and end-to-end monitoring in a simulated environment.