| | | TOP STORIES | | 10 Tools For Effective DevOps Collaboration Collaboration for DevOps teams is crucial, but it doesn't happen automatically. Here are 10 tools that can help make it easier (or possible) for your teams to work together.
Disaster Recovery: The Cloud Changes Everything In a recent report, Gartner looks at the growing field of disaster recover as a service, and finds how this cloud-based approach differs from the more traditional approach to DR. AWS Dominates IaaS, Stumbles In Managed Private Cloud Amazon Web Services (AWS) dominates the worldwide public IaaS market, is in tight competition in the PaaS market. But it's an also-ran when it comes to the managed private cloud category, according to a report from Synergy Research Group. Digital Transformation Underway, Many Will Fail At It IDC has issued its IT FutureScape forecast for 2017, which includes 10 predictions for IT. Here's how cloud, mobile, social media, big data, AI, virtual reality, and other innovations are changing the world. | | |
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| | | MOST POPULAR | Gartner's 10 Tech Predictions That Will Change IT
During its recent Symposium ITXpo, Gartner released predictions about the future of technology for IT departments and users. Here's a look at those predictions and what they might mean for you and your organization.
10 Best US Cities For Tech Jobs In 2016
Glassdoor recently released its report on the best cities for jobs in 2016 based on factors including cost of living, job satisfaction, and work-life balance. Which of these cities on its list are best for IT pros? We take a look.
10 Strategic Tech Trends For 2017: Gartner
At the Gartner Symposium and ITxpo, Gartner released its annual list of the top 10 strategic trends. Are you planning for the right technology in your organization?
9 Raspberry Pi Projects For Your Summer Vacation
The right Raspberry Pi project can make the summer fun and educational. Here are nine possibilities that fit the bill.
10 Factors Determining Data Pro Salaries
O'Reilly Media's 4th annual survey of data professionals looks at tools, languages, gender, geographies, and a host of other factors that are predictors in terms of how much data workers can expect to earn. Where do you fit?
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