Software Testing Videos and Tutorials: Load Testing, Unit Testing, Functional Testing, Performance Testing, Agile Testing, DevOps
QA had thoroughly tested the new release, performed Unit tests, functional tests and yet… we still crashed. The ultimate goal in development is to make sure the application works for the end users in the production env, not just in QA. This is where load testing and Gatling come in.
To continuously deliver IT systems at speed with a focus on business value, DevOps high-performance cross-functional IT delivery teams integrate quality engineering in their way of working. Quality engineering is the new concept in achieving the right quality of IT systems. DevOps teams take joint responsibility to deliver IT systems with business value to their users.
The book Evolutionary architecture talks about how software architecture needs to keep evolving with the changes to business priorities and the tech landscape changes, with fitness functions guiding the evolution. The same concept shall and should be applied to the software testing strategy which is what I coin as Evolutionary testing strategy.
How many of us have spent those hours just to analyze test failure Automation run reports to first determine whether it was an actual bug or environment specific issue or a test automation issue. We agree that no matter how much robust we make our UI Automation frameworks, we always encounter Automation/Environment specific failures, which increase the time spent on analyzing those failures and spotting actual issues/defects.
Testing strategies for modern software architectures are evolving. As we transition from monolithic structures to team-sized microservices with crisp APIs aligned to bounded contexts, we encounter more stable testing surfaces.
This session concentrates on the strengths of Jenkins and how they can be leveraged to configure and maintain dozens of projects while still keeping each of the pipelines simple and handy for the daily use of the developers.
We are aware of the continuous monitoring of various data intensive systems and services across cloud platforms and on-premise settings. However, when it comes to continuous monitoring in alignment with continuous software testing in a DevOps context of visually heavy live-streaming applications, we are left with the fewer options especially in the open source space.
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