How can I optimize the performance of a Python web application hosted on Google Cloud Platform (GCP), including database tuning and scaling strategies?

Asked 4 months ago

I have a Python web application hosted on GCP and am looking for ways to enhance its performance, including database tuning and scaling strategies.

Ernesto Cabrera

Wednesday, December 13, 2023

Optimizing your Python web app on GCP involves several strategies. For database tuning, use Cloud SQL and leverage its performance insights to identify slow queries and optimize them. Implement caching with Memorystore to reduce database load. For scaling, on the other hand, use GCP's App Engine or Kubernetes Engine for automatic scaling based on traffic.

You can also utilize Stackdriver for monitoring and identifying performance bottlenecks, as well as implement load balancing to distribute traffic evenly across instances. Also, consider optimizing your application code for efficiency and reduced resource usage.

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