After the tour-de-force of Serverlessconf in October, I decided my entire company would be going serverless. I spent the first couple of months beating my head against the wall trying to migrate a Python Flask app to Lambda—these efforts helped me find a better way.
Source: acloud.guru
Shipping code updates to the Facebook app, which is used every day by hundreds of millions of people, requires extensive testing to ensure stability and performance. At Facebook’s scale, this process requires checking hundreds of important interactions across numerous types of devices and operating systems for both correctness and speed. Traditionally, this has largely been a manual test design process, during which engineers devote time and resources to designing test cases.
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Today’s choice gives us an insight into how Google measure and analyse the performance of large user-facing services such as Gmail (from which most of the data in the paper is taken). It’s a paper in two halves. The first part of the paper demonstrates through an analysis of traffic and load patterns why the only real way to analyse production performance is using live production systems.
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