Best DevOps

Bridging the Gap Between Security & DevOps

Source:-darkreading.com An inside look into the engineering mindset of DevOps from the vantage of a career security professional. Last month, I had the eye-opening experience of attending my first pure-play DevOps conference, DevOps World, put on by CloudBees. Inconveniently one week after Black Hat, the conference could not have been more dissimilar. Suffice it to say it was a significant learning experience for a career security person. I learned about security through the eyes of DevOps engineers, many of whom spoke candidly

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How Continuous Delivery Enables High-Performing Technology Organizations

Source:-forbes.com CTOs and other technology leaders face a difficult challenge: How do we get board members and fellow executives to understand how well an R&D team is performing? The short answer is by demonstrating value, which lies in working software. The faster we deliver software, the more value we show. The best way to quickly deliver software is to create a high-performing technology organization (aka an engineering team) by establishing continuous delivery. Use Continuous Delivery To Meet Expectations Continuous delivery

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How DevOps enables organisations to deliver true value to customers: A guide

Source:-cloudcomputing-news.net Gone are the days when teams could work on a project for months (or even years) before releasing it to production. Now even two-week cycles are too long due to ever more demanding customer expectations and an always-growing field of competitors. Organisations today expect to deliver new features to production on a weekly, daily or even hourly basis. This accelerated timeline lets organisations adapt to market shifts and technological changes. It keeps companies on the same pace as their

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Is AIOps the future of DevOps?

Source:-information-age.com HP Morgan, business analyst at Tatvasoft Australia, discusses how AIOps helps DevOps to embrace the scale and speed needed for modern development For many years there’s been a constant demand placed on IT professionals and particularly in DevOps to become more proactive and flexible so that the businesses can accommodate and embrace the new challenges quickly to stay competitive. Such a paradigm shift has resulted in more processes by making them automated as a manual intervention that is in

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How DevOps Teams Can Skill Up on DataOps

Source :- devops.com Probably not. Although it might be comforting to imagine that every company has a dedicated team of data specialists on staff who oversee data operations, the reality is that the vast majority of companies employ no data scientists at all. Only around 6% of large enterprises have data scientists on staff, and virtually no small and medium businesses employ data scientists. What this means is that at most companies, effective data management is the responsibility of any and

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What venture capitalists need to know about DevOps

Source – itproportal.com Venture capital (VC) investment into DevOps continues to rise. Already populated by some huge worldwide brands like Google, Microsoft and Amazon and estimated to be a $50 billion market, DevOps has graduated beyond a niche software sector for unicorns, and has made it to the mainstream. The amount of interest in this space from the VC community since the middle of 2018 is just one of many signals from investors that “now is a great time to jump

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10 tough Jenkins interview questions and answers for DevOps engineers

Source – theserverside.com To be a full stack developer or a DevOps engineer, you need to know CI/CD. It is an absolute requirement. If you’re applying for a new technical position and want to be prepared, here are 10 tough Jenkins interview questions and answers for DevOps engineers that employers often ask. Jenkins interview questions strategies A good strategy to use to apply to this set of tough Jenkins interview questions and answers for DevOps professionals is to first read through each

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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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Top Steps to Take DevOps to the Next Level

Source – bdaily.co.uk Devops has been the subject of numerous IT wrangles since its dispatch. A few people have viewed it as simply one more promoting craze while others trust it is the following enormous thing in IT tasks. Thus, finished the years, experts have anticipated that devops will encounter fast development. Regardless, the device has developed consistently yet hasn’t gotten energy among standard organizations. Be that as it may, the purpose for its ease back reception isn’t because of devop’s

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The 5 Common Mistakes Your Devops Team is Making

Source – whitesourcesoftware.com DevOps has become an important and inseparable part of every business today. The rise of DevOps has meshed the development and operations teams together, largely contributing to the faster development and deployment of software. Despite the most obvious problems that DevOps solves, there are a few common mistakes that DevOps teams and their organizations continuously commit while working together to deliver the companies’ products. We have chosen to highlight the 5 most common mistakes your DevOps team is

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