Is DevOps security about behavior or process?

Source:- networkworld.com One of my main roles is improving the security of the software produced by my employer, and it was in that role that I attended the annual gathering of the security industry in San Francisco last week. The RSA Conference is one of the two global security conferences I attend, the other being Blackhat. While Blackhat has become more corporate, it’s still dominated by hackers and focuses more on vulnerabilities, whereas RSA is very much a corporate event

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The top five in-demand cloud skills for 2017

Source:- cloudcomputing-news.net Financial results for the fourth quarter of 2016 reveals massive growth for the top cloud providers. With 47% and 93% revenue growth for Amazon AWS and Microsoft respectively, one thing is clear – cloud is growing at a breakneck pace. Enterprises and small businesses will continue to adopt and invest in cloud technology. Cisco’s Global Cloud Index whitepaper shows global cloud IP traffic will almost quadruple over the next five years. But the rapid expansion of cloud has

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DevOps and Automation: There’s a Big Difference

Source:- enterprisetech.com Confusion abounds that DevOps and development automation are synonymous. An online search for implementing DevOps practices leads to lists of tools meant to automate everything from development to QA to deployment. While automation is certainly a key aspect of DevOps, the two are not identical in practice. Businesses that misunderstand that concept are often faced with less optimized workflows, and it can lead organizations to assume automation tools are the silver bullet to solving their IT problems. Understanding

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Containers help move Spark and Hadoop into analytics operations

Source:- techtarget.com Moving custom Spark and Hadoop pilot projects into production use has proved daunting. But container technology eased the transition at the Advisory Board analytics service. Spark and Hadoop analytics efforts often stumble when teams try to turn small pilot projects into larger operational apps meant for data science teams and business analysts. For many, it is an obstacle in their quest to work with big data. Configuration complexity has sometimes been the stumbling block. A custom-configured prototype built

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Continuous deployment for your tests

Source:- microfocus.com Why would you want to continuously deploy your tests? Release fast and release often. This core principle of modern software development provides numerous advantages, for example earlier customer feedback, faster response cycles, and overall higher customer satisfaction. When trying to increase your release frequency, you will be faced with many testing issues, including the following: Changing tests might lead to unexpected failures (false-positives) or unwanted passes (false-negatives). The probability of introducing breaking changes to your automated test set

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Containers, clusters and coding: Here’s what’s coming in 2017

Source:- itproportal.com Everyone talks about containers. It became so huge that we think Docker has existed for a long time. The fact is that it has only started. We can observe that by the amount of changes we are seeing. Docker from two years ago is very different than Docker today. Products in its ecosystem are appearing every day and many are disappearing just as quickly. If there is a space we should turn our attention to, that’s containers. At

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Docker Tools that Developers will Find Useful

Source:- opensourceforu.com Docker allows IT departments to focus on applications, not virtual machines, as a standard unit of production. Looking at recent trends, there have been many projects created by the Docker community that have advanced the developer experience. This article takes a look at a few Docker tools that may be useful for developers. Docker was introduced to the world with no prior announcement, by Solomon Hykes, founder and CEO of dotCloud at the Python Developers Conference in Santa Clara,

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Technologies to consider for adapting to digital transformation

Source:- pcquest.com Organization leaders strive to position themselves for success over their competitors and ensure that there’s a clear path for the future. However, many businesses continue to rely on old systems and processes to serve their clients, and this can lead to big problems as technology advances. Teams may be left in the dust if they hesitate to make necessary transitions, impacting their products and their overall reputation. Here are some of the main technologies to consider as you head

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Extending AWS CodeBuild with Custom Build Environments

Source:- amazon.com AWS CodeBuild is a fully managed build service that compiles source code, runs tests, and produces software packages that are ready to deploy. CodeBuild provides curated build environments for programming languages and runtimes such as Java, Ruby, Python, Go, Node.js, Android, and Docker. It can be extended through the use of custom build environments to support many more.Build environments are Docker images that include a complete file system with everything required to build and test your project. To

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Why big data needs DevOps ?

Source:- globalbigdataconference.com Many big data analytics teams choose to not use DevOps methodologies, but there are real benefits to applying DevOps concepts to those big data initiatives. Extracting accurate and meaningful answers from big data is tough. It’s often made more challenging given the way big data software developers and IT operations lack coordination in many enterprises. Even though an IT organization may practice sound DevOps strategies for other supported applications, big data projects often remain siloed for a variety

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