Test automation in CI / CD pipelines: The XXL webinar from Heise

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    With the intention to develop prime quality software program, significant take a look at methods are important. Nonetheless, the subject of testing continues to be tough for a lot of builders, particularly in relation to the interplay with DevOps and steady supply rules. Particularly with quick and fixed launch cycles, this can be very vital to check repeatedly and, above all, mechanically.

    In the half-day Heise webinar On July eighth, with Christian Kühn, contributors will study why automated assessments make sense in any respect and what the potential “prices” are. In sensible examples, you’ll grasp the linguistic description of acceptance or regression assessments with behavior-driven growth and may take a look at efficiency and code high quality in distributed methods so as to assure the standard of your software program.

    Participation in the webinar prices 139 €, the next entry to the recording and the supplies is included.

    In June, July and August Heise provides a webinar sequence DevOps in practice a sensible introduction to the world of recent container expertise. In a complete of 20 hours, contributors discover ways to use steady supply pipelines. As well as, you’ll discover ways to implement take a look at automation, create the proper company tradition for DevOps, combine safety into the event course of by way of DevSecOps and implement steady deployment with GitOps. Every webinar is structured like on-line coaching and provides loads of area for interplay and sensible workout routines.

    The webinars have a duration of 4 hours every and happen from 9 a.m. to 1 p.m. Participation in a webinar prices € 139. In the event you e-book all 5 appointments on the similar time, it can save you so much with a reduced mixture ticket for € 429 in comparison with particular person gross sales. All contributors cannot solely sit up for a variety of follow and interplay, but in addition have the chance to repeat and deepen what they’ve realized with all of the data and supplies afterwards.




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