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A distributed system can guarantee only two out of three properties simultaneously: , Availability , and Partition Tolerance .

: Understanding the fundamental principles and costs of scalability—what it actually means to grow. Scalable Services

All writes go to a designated leader node, which replicates data to followers. Reads can be distributed across followers, making this pattern highly effective for read-heavy workloads.

Code examples for the Foundations of Scalable Systems book - gortonator/foundations-of-scalable-systems.

The foundational rule of horizontal scaling is to make the application layer entirely stateless. If a web server does not store user session data on its local hard drive or memory, any incoming request can be routed to any healthy server pool instance. Share state via external datastores like Redis or managed database clusters. Microservices vs. Pragmatic Monoliths

Every read receives the most recent write or an error.

maddoxw/awesome-system-design (and similar curated "awesome" lists)

Caching reduces database load and network latency by storing frequently accessed data in ultra-fast, in-memory storage layers like Redis or Memcached. Cache Topologies

I can provide code snippets or tailored structural diagrams to help you design your next infrastructure phase. Share public link