Continuous Testing: Solving the Biggest DevOps Bottleneck

Source – devops.com Earlier this year, Computing Magazine conducted a fascinating study around the adoption and benefits of DevOps in its DevOps Review 2017 publication. The findings that stood out most fascinating to me where around quality assurance and testing. In this survey, the question was asked, “Where are the main holdups in the software production process?” Of all the self-proclaimed DevOps practitioners, a whopping 63 percent said the biggest delays occurring in the QA/Test phase. In fact, this cited bottleneck

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Crafting an Effective DevOps Strategy

Source – virtual-strategy.com Uptake of DevOps tools and practices in the context of faster software releases, cloud adoption and improving innovation velocity has been on a tear away pace over the last couple of years. However, it is still early days for maturity and standardization of DevOps processes in the enterprise, with several barriers – both human and technological – to be overcome. IT leaders are constantly challenged to adopt standardized DevOps practices that deliver faster software releases with higher

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The Critical Difference: Continuous Quality versus Continuous Testing

Source – cio.com The rapid adoption of the Agile method and the software development and operations (DevOps) approach isn’t surprising. As anyone in our industry knows, the pressure to conduct system testing and quality with both speed and accuracy is a daily struggle. Employing Agile methodologies allows us to better address business and customer needs, while breaking through the challenges and limitations of traditional waterfall development. As an extension of Agile, DevOps has emerged as a solution to a fundamental necessity,

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Continuous Testing for Agile and DevOps: 5 Key Takeaways from Gartner

Source – tricentis.com As software becomes the key to creating a competitive advantage across all markets, enterprises no longer enjoy the luxury of selecting either ‘speed’ or ‘quality’ when delivering software. Both are critical. Now that agile practices have matured and DevOps initiatives have entered the corporate agenda, Continuous Integration (CI), Continuous Testing (CT) and Continuous Delivery (CD) have emerged as key catalysts for enabling quality at speed. Of the three, Continuous Testing is by far the most challenging. While Continuous

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Change is the Focus: QA in the DevOps Era

Source:- capgemini.com There is a popular business adage that states, “Fast, Good, Cheap: pick any two”. But what if you want it all?  I definitely want to ensure good quality, in little time and at the lowest cost. Therein lies the challenge. Throughout the product development lifecycle, we face bottlenecks that often prevent us from having it all. Today, Agile and DevOps introduce timeboxed development and continuous integration, which means shorter development cycles and more frequent releases. This results in

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Why we always start with Continuous Integration and Continuous Delivery

Source:- 126kr.com Ten years ago, researchers and cutting-edge developers had to argue that software testing was part of the process of writing software, not a nice to have depending on the budget. Nowadays, it is almost always accepted that shipping an application (or a feature) is an inherent bundle including code, tests and documentation. Open Source software have been written that way for decades and thanks to GitHub, which generalized Open Source good practices, things got a lot better. In

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Tutorial: Set up a continuous testing pipeline with Node.js

Source:- assertible.com Continuous integration is large part of modern development workflows. Most of us are familiar with basic CI services that automatically build code as new changes are pushed. But what if you took that a step further and not only built your code, but also deployed and tested it within the same pipeline? This is continuous development. Let’s outline the steps of the pipeline: Continuous integration: Push new code to GitHub, which is then built by CircleCI. Continuous deployment:

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The Value of Service Virtualization for Agile and DevOps Teams

Source:- techwell.com In our current software development and testing landscape, it’s critical to pinpoint and eliminate as many bottlenecks as humanly possible. If there’s something along your regular development lifecycle that can be tweaked or moved around for the sake of greater speed and better quality, it’s a no-brainer to make that move. If you’re looking to remove these constraints, service virtualization should be high up on your list of things to take advantage of in 2017. The idea is

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DevOps: The top three hottest trends for 2017

Source:- itbrief.co.nz DevOps have quickly become an integral part of modern enterprises. This is largely because they remove the silos between the development and operations teams, helping organisations to achieve greater digital agility. CA Technologies recently announced three trends in DevOps it expects will come under the spotlight in 2017 – interestingly, they’re not specifically about development or operations, but are instead testing, security and metrics. “As organisations race to deliver innovations to market, they will find that ensuring the

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