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How do you apply queuing theory to real-world systems without pulling out a textbook or writing a line of math? In this clear and engaging talk, Dan Slimmon breaks down the core principles of queuing theory and shows how they apply to everything from web servers and CI pipelines to coffee lines and Postgres locks. You will learn why queues aren’t just engineering tools but natural phenomena, how to apply Little’s Law (L = λW) to measure concurrency and latency, and why systems tend to be either empty or overwhelmed—with little in between. Dan also shares how understanding queues helped him catch production issues, optimize distributed systems, and predict system behavior without reading a single line of application code. This talk covers service time distributions, saturation dashboards, emergent queues, utilization traps, and practical tools for thinking about load and performance under pressure. If you care about reliability, scaling, or infrastructure that holds up under stress, this is one to watch. http://antithesis.com/