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Learn how to identify and eliminate engineering toil through statistical analysis in this 19-minute conference talk from SREcon25 Europe/Middle East/Africa. Discover how Dylan Ratcliffe from Overmind analyzed nearly 37,000 infrastructure modifications to quantify "toil" - the work that slows teams down without adding real value. Explore the statistical techniques and practical models developed to identify optimal opportunities for safe auto-approval of changes. Gain insights into how similar methodologies can be applied to identify and eliminate wasted effort in your own workflows. Understand the pitfalls and trade-offs involved in automating approval processes, and learn how AI can enhance these systems further. Master practical approaches to free up engineering teams to focus on high-value work while maintaining system safety and reliability, whether you work as a platform engineer or site reliability engineer.
Syllabus
SREcon25 Europe/Middle East/Africa - How We Used Statistics to Find Toil among 36,000 Changes
Taught by
USENIX