Given a monolith architecture, how would you scale it to handle 3x the traffic and also improve response time on API's during peak hours by using cache

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Accepted Answer

To scale a monolith architecture and improve response time, use horizontal scaling and implement caching.

Implement horizontal scaling by adding more instances of the monolith application behind a load balancer
Use a distributed cache to store frequently accessed data and reduce database queries
Implement caching at different levels such as application-level caching, database query caching, and HTTP response caching
Use a caching strategy based on the data access patterns and expiration policies
Consider using a caching framework like Redis or Memcached
Optimize API endpoints by reducing unnecessary database queries and optimizing database queries for performance
Implement asynchronous processing for long-running tasks to improve response time
Monitor and analyze system performance using tools like APM (Application Performance Monitoring) to identify bottlenecks and optimize performance

Given a monolith architecture, how would you scale it to handle 3x the traffic and also improve response time on API's during peak hours by using cache

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