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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IT ops pros predict routes to DevOps efficiency in 2018

Source – techtarget.com IT operations is a fast-moving river of change. It might bend or fork as it travels, you might go over a Waterfall, but it never doubles back. Expert IT professionals and analysts –– many of whom write tips on the tools and technologies you use every day — lay out their predictions for where IT operations is heading in 2018. Everyone expects a heavier emphasis on DevOps efficiency through smarter adoption and evolved tools and practices. Another broad

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How to work through the four complicated DevOps stages

Source – techtarget.com For thousands of years, we have been devising ways to cross bodies of water. Historically, our attempts were crude — makeshift rafts and rickety, ferrylike vessels. So, we started building bridges, albeit basic ones. Ferries and bridges still need upkeep as weather and increasing traffic require intelligent decision-making and technology to optimize transit. Let’s apply this to DevOps. Like bridging two shorelines together, DevOps involves efficiently linking an organization’s business idea to its market. For an organization to

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5 reasons DevOps will be a big deal in the year ahead

Source – infosurhoy.com The typical enterprise has become a nonstop software and data factory, operating 24Ă—7. Technology has to be there at all times. DevOps has been a hot topic and pursuit for a few years now. During this time, many enterprises have been attempting to put this way of working — in which development output is aligned with ongoing business requirements — in place in one form or another. But 2018 promises to be the year when it all really

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Combining AI, automation & cloud is key to improving workplace productivity

Source – computerweekly.com If you take productivity at its most basic – as a measure of how much output you get for how much you put in – then it follows that to increase it you must remove as much unnecessary strain as possible from the input cycle. Over the past decade, cloud computing has established itself as a key tool for helping companies streamline workflows. And, by allowing multiple users to work remotely on the same data at once, boost

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4 experts predict what’s coming in 2018: DevOps, AI, and more

Source – jaxenter.com Predicting the future is a hard gig. For every right guess, there’s always an over-excited promise that falls short of reality. However, we’re taking a lot of the guesswork out of predicting what’s hot in 2018 by asking the experts what they think. While nothing is set in stone, it looks like 2018 is going to bring a lot of growth for DevOps, cloud technologies, and data science. However, signs are unclear for what will happen to artificial intelligence and

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CA launches new products to enable DevOps workloads

Source – cloudpro.co.uk The company is betting big on DevOps, AI and analytics CA Technologies has today announced more than 20 new and updated products across different business verticals, expanding the company’s portfolio in areas like DevOps, automation and testing. Speaking at CA World 2017, CA president and chief product officer Ayman Sayed took to the stage to tell conference attendees about the new capabilities. “I am particularly happy and pleased, and very excited, about our ability to make the products

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Harnessing AI to make DevOps more effective

Source – zdnet.com Loom Systems’ AI-powered log analysis aims to give companies a warning when there may be a problem in their system by reading logs and detecting when something is likely to go wrong — and then sends out alerts so DevOps and IT managers can respond before systems go down. ZDNet talked to CEO Gabby Menachem about the company’s future plans. ZDNet: Tell me about the origins of Loom Systems. Menachem: We were founded two years ago and using

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Artificial intelligence: how is AI changing marketing?

Source:- memeburn.com 2017 is set to be the year of artificial intelligence (AI). With companies such as Amazon Web Services offering AI on tap — including image recognition and natural language understanding — an increasing number of machine learning powered services will be finding their way to the consumer. Those involved in marketing and retail might have already seen offerings filter through, with the following pointing the way the AI winds are blowing. Elementary, my dear In the world of

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