DevOptimism: The Future of DevOps is Becoming Clearer

Source- devops.com DevOps has quickly matured from a fairy tale to a bestseller at most large enterprises. However, we are still at the beginning of the DevOps story, with many exciting chapters still to be written. This article looks at several emerging technologies shaping DevOps today and a handful of developing trends that will shape the ecosystem in the years to come. Today’s IT organizations increasingly are moving away from monolithic applications deployed through grand-slam releases with security slapped on

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Best Practices for Application Security Testing in the Era of DevOps and AI

Source – devops.com Application security testing is no easy feat. And yet, it’s usually the first topic that most articles about application security address. The reasons are simple: As the pace of application development techniques (and their inevitable vulnerabilities) evolve, AppSec personnel have found themselves caught between the desire to keep pace with their management of security testing requirements and their ability to allow the developer teams to operate in the modern, fast-paced ecosystem of DevOps and artificial intelligence. To better

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When AI meets DevOps: Getting the best out of both worlds

Source – cloudcomputing-news.net DevOps has been widely embraced by businesses under pressure to get competitively advantageous digital deliverables to market at the fastest possible cadence—especially given the reality of limited coder headcount and the need to rigorously avoid brand-toxic snafus in the customer experience. Artificial intelligence (AI), in stark contrast, is a potentially transformative digital discipline that is still very new to most enterprise IT organizations. But while it’s certainly important that CIOs nurture AI adoption with appropriately resourced pilots, it’s

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5 Steps to Put a Faltering DevOps Plan Back on Track

Source – informationweek.com DevOps encompasses a set of practices that automate and streamline processes between software development and IT teams, enabling organizations to build, test, and release software faster and more reliably. That’s the goal, anyway. But what happens when a DevOps initiative doesn’t meet an organization’s anticipated goals or, worse yet, actually begins exerting a negative impact on software development? That’s when it’s time to go back to the virtual drawing board and steer the initiative back onto its planned course.

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AI-powered DevOps is how CA wants to reinvent software development and itself

Source – zdnet.com CA is one of the oldest, most traditional enterprise software companies around. As such, it has not exactly been synonymous with innovation. But Ashok Reddy, its DevOps general manager, says this is changing, and CA is reinventing how DevOps is used to develop and deploy software throughout its lifecycle, based on data, machine learning, and AI. IF EVERYONE IS USING THE SAME SOFTWARE AS A SERVICE, DIFFERENTIATION COMES THROUGH DYNAMICALLY ADAPTING TO DATA CA has come a long way since

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Golden online era dawns for cloud, big data, AI

Source – ecns.cn China’s digital economy, or D-economy, has entered a “golden era” and has become a new economic growth engine, said an expert from the China Academy of Information and Communications Technology, a government think tank. The internet, and technologies like cloud computing, big data and artificial intelligence, or AI, are helping transform several industries and sectors, thereby driving economic growth, he said. “The country’s digital economy has stepped into a new phase, with the focus shifting from high-speed growth

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Get started with AIOps tools

Source – techtarget.com CIOs often lament the number of people and the portion of their budget devoted to keeping the lights on. These are the tasks of IT operations — necessary, but not visible. CIOs would prefer to take charge of innovative projects that bring high value to their organization, but they’re judged by the unglamorous and unexciting uptime and performance stats of underlying computer systems, especially systems tied to revenue generation. Keeping the lights on is quite important to people

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Adoption of continuous testing in DevOps and Agile cultures

Source – techtarget.com It takes an all-encompassing cultural shift to realize continuous testing in DevOps and Agile teams. All team members must understand and embrace responsibility for quality, but testers — the champions of quality — should lead this transformation. Rely not on technical skills to encourage continuous testing in DevOps teams, but rather on leadership skills, specifically communication, collaboration and creativity. DevOps and Agile call for communication up, down and across the company. Testers collaborate with multiple, diverse groups to achieve

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In Google Hangouts Chat, DevOps pros see ChatOps latecomer

Source – techtarget.com Google Hangouts Chat became generally available last week, but the initial release is too little, too late for IT pros interested in ChatOps. Google Hangouts Chat, first released in beta in 2017, is integrated into Google’s G Suite productivity and collaboration software, which has a strong following among DevOps shops. The product roadmap includes plans for unique AI features that could enhance IT collaboration. But Google Hangouts Chat’s general availability comes a full five years after the launch

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How AI will impact software development

Source – jaxenter.com The AI industry is never going to run out of the need for tech-savvy developers who can think out of the box. This technology is here to help us create better software which is safer than software created under traditional environments. In this article, Alycia Gordan explains why AI will teach developers a new mindset about the field they have been most passionate about. There is a 50 percent chance that machines will outperform humans in all tasks

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