Cloud Resume Challenge - AWS

Working on recent technical projects has been a great learning experience. Here's how I learned specific concepts using different tools: Learning code context when writing Java: I began to understand the importance of context when debugging complex problems in Java. At first, I focused on a single class, but when tracking down bugs related to inheritance or framework behavior, I learned that it's critical to understand the code's place in the bigger picture. Seeing how seemingly small changes could have a larger impact taught me to always consider the full context of the application. Learning service connections using the AWS console: At first, the AWS console seemed like a collection of many separate tools. But I learned how interconnected AWS services are when I had to create workflows that span multiple services (such as connecting S3 events to trigger Lambda functions). Actively navigating between service dashboards, following resource names (ARNs), and configuring triggers myself was key to understanding how they connect to form a complete system. Learning the Limits of Verification Using Python Scripts: Writing Python scripts to interact with external APIs or services taught me about the challenges of verification. My early scripts sometimes failed unexpectedly due to API changes or unhandled edge cases. I learned, often after encountering bugs, the importance of implementing robust error handling and writing code defensively, especially when not all possible responses from an external system can be tested or predicted in advance. Each of these tools provided me with practical lessons in understanding context, system architecture, and the need for robust programming when working with real-world systems.

Apr 27, 2025 - 22:51

Working on recent technical projects has been a great learning experience. Here's how I learned specific concepts using different tools:

Learning code context when writing Java: I began to understand the importance of context when debugging complex problems in Java. At first, I focused on a single class, but when tracking down bugs related to inheritance or framework behavior, I learned that it's critical to understand the code's place in the bigger picture. Seeing how seemingly small changes could have a larger impact taught me to always consider the full context of the application.

Learning service connections using the AWS console: At first, the AWS console seemed like a collection of many separate tools. But I learned how interconnected AWS services are when I had to create workflows that span multiple services (such as connecting S3 events to trigger Lambda functions). Actively navigating between service dashboards, following resource names (ARNs), and configuring triggers myself was key to understanding how they connect to form a complete system.

Learning the Limits of Verification Using Python Scripts: Writing Python scripts to interact with external APIs or services taught me about the challenges of verification. My early scripts sometimes failed unexpectedly due to API changes or unhandled edge cases. I learned, often after encountering bugs, the importance of implementing robust error handling and writing code defensively, especially when not all possible responses from an external system can be tested or predicted in advance.

Each of these tools provided me with practical lessons in understanding context, system architecture, and the need for robust programming when working with real-world systems.