(Test) Data is make or break for DevOps

DevOps, Continuous Delivery and any form of iterative delivery are only as fast as their slowest components. Today, QA remains the necessary evil for many DevOps lifecycles, responsible for delays yet still performed only after bugs have hit production. One huge, yet sometimes overlooked barrier is commonly at fault: test data.

The average QA team today spends a whopping 44% of their time searching for, managing and generating data [1]. Trying to “provision” data faster will always be a game of catch-up, as iterative delivery gets faster, building systems that require increasingly complex data. Delivering quality at speed instead requires data instantly and on demand. Today, that means “allocating” data automatically during CI/CD processes, parallel testing and development, and automated test execution.

This session will provide a pragmatic approach for moving from current test data processes to “just in time” data allocation. Veteran test data innovator, Huw Price, will offer cutting edge techniques for allocating data from a range of sources on-the-fly, ensuring that every test and tester has the data they need, made available exactly when and where they need it.

[1] The 2020 Continuous Testing Report, page 21.

This Meetup was hosted by DevOpsOxford on November 24th 2020.

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