CloudGeometry Blog


Data-Driven Personalized Medicine: CloudGeometry Case Study

CloudGeometry built and deployed a coherent data architecture to data across sources to be harvested by machine learning models. It enabled an advanced personalized healthcare platform to provide tailored advice to people suffering from chronic disease. Assuring the flow of data to models ensures every single patient always gets the best data to better manage her disease.

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Time-boxing across time zones: Agile with remote teams

Agile methodologies are now recognized as a structured way to work through ambiguous and complex software problems with evolving solution requirements. Practices such as sprints,...

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When Kubernetes met Spark 2.3: what native Kubernetes support means for “big data” and data science

“Kubernetes as a Service” on AWS, aka EKS, has made Amazon the destination of choice for the leading container orchestration environment. This overview gives you the basics on the moving parts and how they work on the AWS stack.

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The hidden costs (and benefits) of cloud migration

If your plan for cloud computing is to simply “move to the cloud”, it’s time to rethink your plan. Success is not about “moving”; it’s about changing to cloud computing. Everyone wants the business and technology advantage of cloud platform; the question is not about why, but how.

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Hands-on cloud lifecycle virtualization for hands-free automation

Modern virtualization technologies like KVM and containers give you almost limitless options for spinup and teardown of clusters, machines, networks and so on. But all that flexibility can create a pretty substantial administrative burden. Using some some focused automation tactics with the powerful open source virtualization platform, Proxmox, we’ve found we can make a life of cloud infrastructure sysadmins. Here’s a tutorial.

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Figuring out if Kubernetes on AWS (EKS) is right for you: Second of 2 posts

There’s no question about the popularity of AWS EKS, Amazon’s new service for delivering Kubernetes. The essential question for you is if the new “as a service” offering addresses the problems you need to solve and what trade-offs you need to take into account.

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Introducing: CloudGeometry

At Bekitzur over the last decade or so, we’ve built a successful managed software development company and grown our team to over 100 skilled professionals....

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The Data Science Myth is not about Data Scientists

Should your data scientist build and run the data platform? In a small startup with less than a dozen people, it might be a good place to start. But is it sustainable? Just as science and engineering are unique, complementary domains, data science needs data engineering to succeed. A good look at the division of labor helps explains why.

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OWASP ZAP penetration security testing tool

A new tool is available for those who would benefit from automated penetration testing and who don’t have the internal know-how or resources to deal...

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Ten things to know about Kubernetes on Amazon (EKS): First of 2 posts

“Kubernetes as a Service” on AWS, aka EKS, has made Amazon the destination of choice for the leading container orchestration environment. This overview gives you the basics on the moving parts and how they work on the AWS stack.

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The Data Engineering Checklist for Data Science

What comes after Big Data? Bigger data. Demands on data scientists are growing even faster. They need to the resources and tools to make ever more effective use...

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Infrastructure testing as a part of GDPR compliance according to OWASP & NCSC

By this time the swarm of emails related to GDPR (General Data Protection Regulation) has slowed down since it first went into effect on 25...

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