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Cloud Blast: "All-Out" Open Source, Data Science Chases Fads, Data Mining Spurs DevOps + more

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NEW YORK - March 10, 2019 - eTradeWire -- Open Source is arguably the most defining trend in technology. At least, this seems to be the growing conventional wisdom in many corners of the industry these days.

The cloud has swept through businesses and fundamentally restructured how we compute and operate. CIODive says open source is "making many businesses rethink their software development approach" as they move towards cloud native architectures and technologies. Companies need to be able to leverage the cloud at scale -- changing to this model doesn't happen overnight -- and organizations will no doubt face many hurdles to to get there.

Other HOT Cloud headlines include:
We just can't get enough of Quarkus! (and apparently you can't either...) Currently in beta, Red Hat's open source framework is aimed at a container-first, cloud-native world. InfoWorld describes it as a "unified reactive and imperative programming model to address distributed application architectures such as microservices and serverless". What is the biggest benefit of Quarkus? We are leaning towards its low-memory utilization which helps optimize container density in microservices architecture deployments that require multiple containers.

Information Age explains how to use process data mining to improve DevOps

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•  Airbnb Simplified the Kubernetes Workflow for 1000+ Engineers, reports InfoQ
•  Network World: VMware firewall takes aim at defending apps in data center
• Leveraging Desktop-as-a-Service Platforms to simplify Multicloud, as explained by Gigaom

Why is data science mostly about chasing fads these days? Data science, while emphasizing the role of statistics, has largely failed to provide a solid statistical foundation to its membership reports Forbes. Programmers are taught the "theory and practice of computing", but the mathematics implemented by those computers are not heavily emphasized. Statisticians, in turn, have somehow accepted the loss of the denominator as the cost of doing business.

The Harvard Businsess Review explains why data-science teams need generalists… not specialists
• IBM quantum computer roadmap moves full speed ahead reports Tech Target
•  WhaTech tells us the 5 main things we need to know to become a DevOps Engineer

Meanwhile, several years into the cloud computing revolution, many organizations are coming out from the ether and taking a more sober look at cloud computing says The SD Times. Many are glad they did not abandon their data centers, where they're starting to bring cloud-native service platforms behind their firewall

More on eTradeWire News
•  Engineers like to think that their code speaks for itself but it doesn't… Tech Republic tells you how to "market" your open source project successfully
Tech Crunch asks which types of startups are most often profitable?

And finally, many organisations employ at least three cloud providers in order to have to the agility to move their workloads around as they please. In fact, a recent survey found that organizations now typically run services from up to nine cloud providers. What will this mean for IT pros? Business leaders will increasingly need to deploy tools that can not only analyze the whole IT infrastructure on an ongoing basis, but can also provide the best services with the least amount of heavy lifting, reports Cloud Computing News.

The Cloud is moving at light speed, and you want to stay informed. Now with one click, you can check all the HOT headlines related to cloud computing, web services, AWS, Azure, Google Cloud, containers, software and more.

CloudBlast is produced by RestonLogic, cloud wizards leveraging 10+ years helping companies automate, transform and build highly-secure and stable systems. Click over to https://twitter.com/restonlogic to catch up with every bit of Hot News from the Cloud.

Disclaimer: The blurbs highlighted on CloudBlast are available for information purposes only, and don't necessarily reflect opinions of our editors. No legal liability or other responsibility has been accepted by our editors for any errors, omissions, or statements on this site, or any site to which these pages connect.

Source: RestonLogic
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Filed Under: Technology, Open source

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