Tue.Nov 20, 2018

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Observability at Scale: Building Uber’s Alerting Ecosystem

Uber Engineering

Uber’s software architectures consists of thousands of microservices that empower teams to iterate quickly and support our company’s global growth. These microservices support a variety of solutions, such as mobile applications, internal and infrastructure services, and products along with complex … The post Observability at Scale: Building Uber’s Alerting Ecosystem appeared first on Uber Engineering Blog.

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How scalable is my Nutanix cluster really?

n0derunner

In a previous post I showed a chart which plots concurrency [X-axis] against throughput (IOPS) on the Y-Axis. Here is that plot again: Experienced performance chart ogglers will notice the familiar pattern of Littles Law, whereby throughput (X) rises quickly as concurrency (N) is increased. As we follow the chart to the right, the slope flattens out and we achieve a lower increase in throughput , even as we increase concurrency by the same amount at each stage.