How do you know how well your large kubernetes cluster is performing? Is a particular change worth deploying? Can you quantify the ROI? To do that, you’re going to need some WSC-wide metric of performance. Not so easy! The WSC may be running 1000s of distinct jobs all sharing the same underlying resources. Developing a load-testing benchmark workload to accurately model this is ‘practically impossible.’ Therefore, we need a method that lets us evaluate performance in a live production environment. Google’s answer is the Warehouse Scale performance Meter (WSMeter), “a methodology to efficiently and accurately evaluate a WSC’s performance using a live production environment.” At WSC scale, even small improvements can translate into considerable cost reductions. WSMeter’s low-risk, low-cost approach encourages more aggressive evaluation of potential new features.

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