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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How Artificial Intelligence, Machine Learning Can Help DevOps

Source – devops.com Artificial intelligence (AI) and machine learning (ML) can help the humans in DevOps break free from focusing on simple activities. One aspect of DevOps is automating routine and repeatable actions, and AI and ML can perform these activities with enhanced efficiency to improve the performance of teams and business. There are algorithms that can perform many operations and procedures, allowing those in DevOps to execute their part effectively. This article discusses how DevOps engineers can use AI and

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Why digital business transformation depends on public cloud networking

Source – cloudcomputing-news.net Companies increasingly seek digital business transformation. From a purely technology perspective, most pieces are in place for this transformation to occur. But too often, one thing is inhibiting the process: public cloud networking complexity. The public cloud is becoming the new foundation for what the cloud does. Important things will continue to happen in on-premises data centres, intelligent edge devices, and branch offices. But more new enterprise applications are emerging whose centre of gravity is the public cloud. Within

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Modern service management, DevOps streamline app administration

Source – techtarget.com The term DevOps is thrown around with such frequency and verve among IT professionals that it seems like a magic elixir for every operational challenge in the era of agile applications and virtual infrastructure. Bring developers and IT together, add in some code and automation tools and voila: The IT org runs as efficiently and swiftly as a cloud-native startup. The hard reality of execution collides with the idealistic conception; there’s more to modern service management than banishing organizational silos

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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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Re-Architecting Log Management for DevOps

Source – itbusinessedge.com Log management in a DevOps environment requires a lot more than just the right platform. As enterprises become more steeped in DevOps processes, tools like deep visibility and AI-driven analytics are proving invaluable to continuous integration/continuous deployment (CI/CD). But in many cases, even the most advanced of these technologies will fail to produce the desired results if not implemented and orchestrated properly. Among the initial questions organizations face when revamping their log practices is what components to log and

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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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Why DevOps Is Your Key to Becoming a Digital Entity

Source – informationweek.com I’ve been working with a lot of organizations that are in full-swing with their “digital transformation” initiatives. They’re doing virtualization, cloud, better security, and focusing on improved user mobility. From there, you can throw in a bunch of other market trending words like AI, machine learning, and you’ve got some pretty impressive things down on paper. Sound familiar? It’s quite possible that you’re in your own process to “digitize” your organization. However, a major challenge over these years

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List Of Top 10 Technologies To Learn In Near Future If You Are An IT Guy

Source:- devopsengineersclub.com & Wikipedia Now a days, lots of students of IT are moving to learn programming languages such as PHP, Java, ASP.NET, Android and so on. But there is a world apart from the programming that needs to be explored. I am not discouraging you for programming. Programming should not be ignored if your are a IT graduates. You must have to be good at any of the programming languages such as python or Java or PHP. But apart from

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How Microsoft, Google, AWS and Facebook are battling to democratise AI for developers

Source – computerworlduk.com Developer conference season is in full flow, with Facebook’s F8 last week and Microsoft Build, Google I/O and Amazon Web Services holding a London Summit this week, and they all had one thing in common: the goal of making AI technology more accessible for developers on their platforms. The big three cloud vendors made a slew of announcements this week, although AWS holds back most of its good stuff for re:Invent in Las Vegas later on in the year,

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