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Systems begin to slow. You measure and figure out a way to get performance acceptable again. You gain stakeholder alignment and push towards delivering results.

There are steps that most take. Start with caching. Then you learn about caching strategies because the cache gets slow. Then you shard the database and start managing multiple database connections and readers and writers. Then you run into memory, cpu, or i/o pressure. Maybe you start horizontally scaling. Connections and file descriptors have limits you learn about. Proxies might enter your lexicon. Monitoring, alerting, and testing all need improvement. And recently teams are getting harder to manage and projects are getting slower. Maybe deploying takes forever. So now we break up into different domains. Core backend, control panel, compliance, event processing, etc.

As the org grows and continues to change, more and more stakeholders appear. Security, API design, different cost modeling, product and design, and this web of stakeholders all have competing needs.

Go back to my opening stanza. Rinse and repeat.

Doing this exposes patterns and erroneous solutions. You work to find the least complex solution necessary to solve the known constraints. Simple is not easy (great talk, look it up). The learnings from these battle scars is what makes a staff level engineer methinks. You gain stories and tools for delivering solutions that solve increasingly larger systems and organizations. I recently was the technical lead for a 40 team software project. I gained some more scars and learnings.

An expert is someone who has made and learned from many mistakes in a narrow field. Those learnings and lessons get passed down in good system design interview books, like Designing Data Intensive Applications.



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