Scaling Python on Google Cloud to Handle 50,000+ Concurrent Requests
Architectural Foundations: Beyond Single Instances Achieving 50,000+ concurrent requests with Python on Google Cloud Platform (GCP) necessitates a fundamental shift from monolithic, single-instance deployments to a distributed, horizontally scalable architecture. This isn’t about optimizing a single Python process; it’s about orchestrating multiple, independent Python services that can be replicated and load-balanced seamlessly. The core components […]