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YURI GRINSHTEYN: We covered using Service-Level Indicators to measure the reliability of our services and using Service Level Objectives to set reliability targets in our first episode. But what happens when that service has a problem and we start burning error budget? How can we configure alerting to let us know that our users are unhappy while managing our operational load? Today, Im going to show you how to calculate and use error budget burn rate thresholds as an optimum approach to your alerting set up. Welcome to Engineering for Reliability with Google Cloud. To help us, lets review chapter 5 of the SRE Workbook called Alerting on SLOs. If you havent read it before, no worries. Well link to it in the episode notes below. The main thing we need to take away from that chapter is that the best way to have sufficiently sensitive alerts, while at the same time reducing false positives, is to use multi-window, multi burn-rate alerts. But first, whats a burn rate? Error budge