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Learn to predict system performance and move beyond reactive troubleshooting in this 38-minute conference talk from SREcon25 EMEA. Discover how to apply Queueing Theory fundamentals including arrival rates, service times, and the critical "hockey stick" utilization curve to diagnose delays and understand system behavior under stress. Master the Universal Scalability Law (USL) to quantitatively predict scalability limits and identify contention and coherency bottlenecks before they impact your systems. Follow along with a practical guided example using a sample service that demonstrates how to collect relevant metrics, interpret performance insights, and make informed architectural and capacity planning decisions. Transform your approach from reactive firefighting to proactive, data-driven performance engineering by avoiding common analysis pitfalls and building a comprehensive analytical framework for system performance prediction.
