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GAINING APPLICATION LIFECYCLE INTELLIGENCE
Applied Spring Track
Today we are facing an ever-increasing speed of product delivery. DevOps practices
like continuous integration and deployment increase the dependence of systems
like task tracking and source code repositories with build servers and test suites.
With data moving rapidly through these different tools, it becomes challenging to
maintain a grasp of the process, especially as the data is distributed and in a variety
of formats. But it is still critical to maintain full visibility of the product development
journey – from user stories to production data. By starting at the beginning of the
Product Development Lifecycle, you can track a problem in production all the way
back to the code that was checked into the build and the developer responsible for
the code.
In this session I'll demonstrate some of the ways in which Splunk software can be
used to collect and correlate data throughout the various stages of the lifecycle of
your code, to ultimately make you more efficient and make your code better.