How do you optimize Flask application deployments for high traffic?
Instruction: Outline strategies for scaling Flask applications to handle high volumes of traffic.
Context: This question aims to evaluate the candidate's knowledge in deploying and scaling Flask applications for optimal performance under high traffic conditions.
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Measure the actual workload and target first: request mix, response-time distribution, error rate, concurrency and resource saturation. A high-traffic application does not automatically require a microservices rewrite or Kubernetes.
Run Flask with a production WSGI server and tune its worker/concurrency model to the workload. More workers consume memory and can increase database connections and downstream pressure...