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What is the best way to cache API responses in a high traffic application?

I am building a public API that receives thousands of requests every hour. Some endpoints query large tables and generate aggregated reports. I already use Redis for sessions, but I am unsure how to design cache invalidation and cache expiration strategies. I also want to prevent stale data from confusing users while still improving performance. What caching patterns work well for production systems?

 

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How do I structure a scalable Laravel monolith for multiple teams?

Our company started with a small Laravel application, but now four backend teams are contributing to the same repository. We are facing problems with duplicated services, unclear folder structures, and difficult deployments. I want to avoid splitting everything into microservices too early. What are some practical ways to organize modules, shared services, queues, and APIs inside a growing Laravel monolith without creating maintenance nightmares later?