Scaling monoliths can be achieved through various strategies such as vertical scaling, horizontal scaling, database scaling, caching, and using message queues. Vertical scaling involves adding more resources to a single machine, while horizontal scaling involves running multiple instances behind a load balancer. Database scaling can be done using read replicas, materialized views, and database sharding. Effective caching can reduce database load, and message queues can help manage traffic spikes by deferring heavy tasks. The key is to implement the right solution based on specific bottlenecks and system requirements.
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Understanding ScaleVertical ScalingHorizontal ScalingDatabase ScalingCachingMessage QueuesSummary2 Comments
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