Senior Engineering Manager | Distributed Systems & Cloud-Native Architecture | AI Platform | FinTech
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Distributed Systems Series — Part 5.12: Scalability & Performance The End of the Beginning This is the forty-third and final post in a series that began with a simple question: what does it mean to build distributed systems correctly? Not just systems that work in development, not just systems that pass their tests, but systems ... Read more The post Engineering Guidelines for Scalability and…
Distributed Systems Series — Part 5.11: Scalability & Performance Why Synchronous Communication Does Not Scale Every communication pattern covered in Post 2.1 falls into one of two categories: synchronous (the producer waits for the consumer to respond before proceeding) or asynchronous (the producer sends a message and continues immediately without waiting). Synchronous communication is the ...…
Distributed Systems Series — Part 5.10: Scalability & Performance Scalability Without Cost Awareness Is Not Sustainable Every scalability mechanism in Part 5 — partitioning, load balancing, caching, autoscaling, geo-distribution — has a cost. Partitioning requires running multiple database nodes rather than one. Load balancers add infrastructure. Caches require memory. Autoscaling provisions…
Distributed Systems Series — Part 5.9: Scalability & Performance When Single-Region Is No Longer Sufficient Every scalability mechanism covered so far in Part 5 — partitioning, load balancing, caching, backpressure, indexing, autoscaling — operates within a single geographic region. These mechanisms collectively allow a system to handle enormous load within one region. But they cannot ... Read…
Distributed Systems Series — Part 5.8: Scalability & Performance Why Manual Scaling Fails at Production Scale Post 5.1 established that horizontal scaling — adding instances to handle growing load — is the foundation of distributed systems scalability. Posts 5.3 through 5.7 covered the mechanisms that make horizontal scaling possible: partitioning, load balancing, caching, backpressure, and ...…
