An Agile DNA is the Brave New Reality for Software Delivery
Last quarter, we presented a webinar on the need for an Agile DNA in software delivery. Every enterprise has to design a new path by ingraining the culture of Devops in the era of digital transformation. This webinar followed a white paper wherein we talked about some of the key principles in detail. If you have not downloaded the white paper already, then visit our website and navigate to the section that talks about how to shift left.
Apart from understanding legacy, choosing the right software tools, learning about core concepts like shift left and ingraining an agile mindset within teams, there is a core transition every team needs to make. And that is a transition from manual to automation.
The Distribution of Love
It’s a no-brainer now that automation is going to take off in a big way and some of the manual efforts will need to be automated. Shift left, and agile software DNA will need a lot of inbuilt automation to ensure continuous delivery especially as the scale of software intensifies.
As a digital enterprise, your organization should be ready to brace up for this transition. But this also means providing a transition plan to manage the manual resources, identifying the right automation frameworks suited for your organization’s legacy needs, and driving the processes to make this a smooth and seamless. Read more about how QMetry helps with this transition.
On the Frontlines of Innovation to Address This Chasm
At QMetry, we deal with a large set of customers and with a huge cross-section of both manual and automation driven ideologies. As we see our clients struggling, we predict that this transition might not be smooth in the years to come. There will be a need for an influential intelligentsia and a tool ecosystem that could enable the manual testers with the wherewithal to become automation experts.
Hence, we created a new tool within QMetry’s open platform that focuses on exploratory testing models. It helps manual testers learn automated testing without knowing the constructs of automation language all that much. With simple features such as automated UI testing, an end to end cross-browser testing, and blocky visual programming, the operational costs of running large-scale website efforts will become simple. We’ll talk about all this a lot more in the days to come, stay tuned!