Track: Performance Testing
Testing in production (TiP) is a set of software methodologies that derive quality assessments not from test results run in a lab but from where your services actually run – in production. The big data pipe from real users and production environments can be used in a way that both leverages the diversity of production while mitigating risks to end users. By leveraging this diversity of production we are able to exercise code paths and use cases that we were unable to achieve in our test lab or did not anticipate in our test planning.
This session introduces test managers and architects to TiP and gives these decision makers the tools to develop a TiP strategy for their service. Methodologies like Controlled Test Flights, Synthetic Test in Production, Load/Capacity Test in Production, Data Mining, Destructive Testing and more are illustrated with examples from Microsoft, Netflix, Amazon, and Google. Participants will see how these strategies boost ROI by moving focus to live site operations as their signal for quality.
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Seth Eliot – Senior Knowledge Engineer in Test, Microsoft
Seth Eliot is Senior Knowledge Engineer for Microsoft Test Excellence focusing on driving best practices for services and cloud development and testing across the company. He previously was Senior Test Manager, most recently for the team solving exabyte storage and data processing challenges for Bing, and before that enabling developers to innovate by testing new ideas quickly with users “in production” with the Microsoft Experimentation Platform Testing in Production (TiP). TiP, software processes, cloud computing, and other topics are ruminated upon at Seth’s blog at http://bit.ly/seth_qa and on Twitter (@setheliot). Prior to Microsoft, Seth applied his experience at delivering high quality software services at Amazon.com where he led the Digital QA team to release Amazon MP3 download, Amazon Instant Video Streaming, and Kindle Services.