Better Software East 2017 Concurrent Session : Machine Data Is EVERYWHERE: Use It for Testing


Wednesday, November 8, 2017 - 11:30am to 12:30pm

Machine Data Is EVERYWHERE: Use It for Testing

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As more applications are hosted on servers, they produce immense quantities of logging data. Quality engineers should verify that apps are producing log data that is existent, correct, consumable, and complete. Otherwise, apps in production are not easily monitored, have issues that are difficult to detect, and cannot be corrected quickly. Tom Chavez presents the four steps that quality engineers should include in every test plan for apps that produce log output or other machine data. First, test that the data is being created. Second, ensure that the entries are correctly formatted and complete. Third, make sure the data can be consumed by your company’s log analysis tools. And fourth, verify that the app will create all possible log entries from the test data that is supplied. Join Tom as he presents demos including free tools. Learn the steps you need to include in your test plans so your team’s apps not only function but also can be monitored and understood from their machine data when running in production.

Tom Chavez

Tom Chavez has more than twenty years of experience as a manager and product manager in the software development tools field. Tom works in product marketing to developers at Splunk, the leader in operational intelligence. Tom has worked across Silicon Valley at Apple, Sun, PalmSource, and Intuit, delivering tools for Mac, Java, PalmOS, Linux, and Android development and testing. At industry conferences and meet-ups, he frequently speaks on web app performance and testing at large scale, mobile continuous integration and testing, automated mobile testing tools, and Big Data analytics for business value. Follow Tom on Twitter @TomChavez.