Applying machine learning to DevOps

Source – jaxenter.com DevOps methodologies are rapidly increasing and generating vast and diverse data sets across the life cycle of entire application including development, deployment, and performance management. Only a robust analysis and monitoring layer can particularly harness this data for the ultimate DevOps goal that is end-to-end automation. The rise of machine learning and its related capabilities, such as artificial intelligence and predictive analytics, has pushed organizations to explore implementing new analysis models that mainly rely on mathematical algorithms.

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DevOps 101: Adopt Continuous Innovation

Source – informationweek.com DevOps requires some hard work and tough choices, but in the end can keep a business competitive and innovative. I’ve spent a good portion of my career interacting with DevOps, but from an infrastructure and data center perspective. In that role, my goal was to eliminate legacy components from infrastructure so that the entire process could then impact both DevOps and the business overall. Today, my focus has shifted into the world of cloud, DevOps, and advanced technology

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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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Digital Transformation Strategy? Think Cloud

Source – devops.com A few years back companies used innovation and digital transformation mostly to differentiate themselves and to stay competitive. The drastic growth in digital and cloud computing over the last couple of years have changed this mindset. Today, organizations have to be innovative and leverage the latest technologies just to sustain and stay in business. Enterprises that implement online retail business, online banking and several other online services aren’t considering those channels simply as another route to increase their

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How to manage cultural change while adopting DevOps

Source – itbrief.co.nz With the rise in connected devices, big data, and an ever-increasing number of business applications, enterprises are now operating like continuous software and data factories. The most successful businesses take an agile approach, constantly updating and aligning development output with business requirements. DevOps can be an incredibly successful tool for companies, but there’s one key challenge: putting the right foundations in place. The organisations that are leading the way are already automating parts of the software engineering process

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Cloud computing provides ‘flexible working conditions for government services’

Source – devopsonline.co.uk Regional Technical Services Manager at Gov Facility Services, Amanpreet Jalif, explains how a cloud environment means you are not limited to where you can be productive It’s that time again. The third Thursday of every lunar cycle when you produce the monthly report; so enthusiastically accepting the responsibility at the board meeting and now regretting it. Your inbox is brimming with 10 different Excel workbooks from your colleagues for you to painstakingly edit the master dashboard you created.

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Four Major Misunderstandings about public key infrastructure (PKI)

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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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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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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Six Cloud Trends That are Making Waves in 2017

Source – bwdisrupt.businessworld.in Cloud is no longer a buzzword that is only popular in big businesses, but, has trickled down to the masses. It is woven in our everyday lives, in the way we communicate, listen to music, watch movies, and store or share our data. Cloud has also dramatically transformed the way business is conducted. Recent studies have shown that businesses employing cloud services improve their productivity and grow 19.6% faster than those that don’t. The digital economy we operate

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