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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How Kubernetes allows developers to deploy without worrying about DevOps

Source – siliconangle.com As an active distributor of the Kubernetes container orchestration management system, Canonical Ltd is giving developers a way to step up their game. The company is taking away the developer operations component to the developer job so they are free to focus on other important aspects of development that they have more expertise in, according to Stephan Fabel (pictured), director of product management at Canonical. “… We’ve been very active in this space fairly early on and have been an active distributor of Kubernetes and a

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The Next Generation of DevOps: ML Ops

Source – insidebigdata.com In this special guest feature, Debashis Saha, Vice President of Platform Engineering at Intuit, discusses how DevOps methodologies can be applied to machine learning, in what he calls “ML Ops.” With ML Ops, he believes it can provide an end-to-end automation of the process, creating transparency and delivering efficiency and productivity for everyoenbody involved to deliver value rapidly. As VP of Platform Engineering for Intuit, Debashis leads the engineering teams responsible for the platform, developer and application services that

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DevOps and Machine Learning are highly demanded jobs this year

Source – techworm.net DevOps and machine learning professionals to control technology opportunities this year Stack Overflow, a popular developer community and jobs site, published their eight Annual Developer Survey results this year, which saw over 100,000 developers around the world take the 30-minute survey. The survey conducted by Stack Overflow reveals that DevOps and machine learning engineers earn highest salaries in the tech sector, averaging between $70,000 and $90,000 a year worldwide. However, salaries for these two ranges between $110,000 annually for DevOps

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Seven steps to move a DevOps team into the ML and AI world

Source – techtarget.com Nobody questions the potential for machine learning and artificial intelligence to revolutionize DevOps productivity and business efficiency as a whole, really. An invisible hand, however, keeps organizations from seeing ML and AI to their full potential. There are seven basic rules to implement ML and AI in real-life DevOps situations. Done right, ML/AI and DevOps can turn enterprises into digital attackers that release higher-quality software faster and at lower cost. To release on time and within budget, there

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How AI will influence the world of cloud-based collaboration and conferencing

Source – cloudcomputing-news.net Those who attended Cloud Expo Europe earlier this week took their opportunity to assess the next level of cloud services, ranging from blockchain, to artificial intelligence (AI) and machine learning. The cloud underpins these technologies and enables them to flourish, while as this publication has previously reported, the M&A cycle has been lit up by it. But what are some of the practical applications for cloud-enabled AI? Lifesize, a cloud-based conferencing hardware and software provider, is exploring how

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Emerging Data Center Trends: From DevOps To DataOps

Source – forbes.com If asked to list the top trends that are shaping the enterprise data center today, most technologists and tech investors would likely agree on a core set. The list would include technologies like such as cloud computing, containers and virtualization, microservices, machine learning and data science, flash memory, edge computing, NVMe and GPUs. These technologies are all important for organizations pushing digital transformation. The harder question: What’s coming next? Which emerging technologies or paradigm shifts are poised to

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