In a recent project, I had to optimize a Python application that was experiencing significant latency due to synchronous processing. I introduced microservices to decompose the application and implemented asynchronous calls using asyncio to improve throughput. Scaling the database and optimizing queries were critical considerations as well.
Can you describe a situation where you had to make architectural decisions in a Python application to improve performance and scalability? What factors did you consider?
In a recent project, I had to optimize a Python application that was experiencing significant latency due to synchronous processing. I introduced microservices to decompose the application and implemented asynchronous…
COVER // CAN YOU DESCRIBE A SITUATION WHERE YOU HAD TO MAKE ARCHITECTURAL DECISIONS IN A PYTHON APPLICATION TO IMPROVE PERFORMANCE AND SCALABILITY? WHAT FACTORS DID YOU CONSIDER?
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