WELCOME TO The itinfrastructure REPORT
AWS’ new C5 instances pack a lot of processing power, and more
MARIA DEUTSCHER | November 7, 2017
We are a team of expert techies and business professionals united in our goal to “Love our Team, Delight our Customers, and Serve our Community.”
Article | April 8, 2020
Data security in the cloud best practices include: understanding and implementing security fundamentals, securing cloud infrastructure along the shared responsibility model, encrypting data in the cloud, and ensuring compliance with applicable regulations. Data security fundamentals often come back to the CIA Triad: data confidentiality, data integrity, and data availability. The shared responsibility model refers to the idea that both a cloud provider and the organization using the cloud are responsible for ensuring the overall security of the organization’s cloud infrastructure, including the data housed there.
Cyberattackers are resourceful and opportunistic. They will move quickly to take advantage of a situation. COVID-19 is no different. There is a huge amount of global uncertainty and change right now which criminals are seeking to capitalize on. The risks are amplified by the immediate and unforeseen IT challenges that companies are having ensuring their staff can work from home. There are two areas which are most likely to result in a cybersecurity incident due to the ongoing crisis: remote access and phishing. We’ll cover both in this article and provide a set of prioritized recommendations to expeditiously prevent, or at least mitigate, these critical issues.
StarlingX—the open source edge computing and IoT cloud platform optimized for low-latency and high-performance applications—is available in its 5.0 release today. StarlingX combines Ceph, OpenStack, Kubernetes and more to create a full-featured cloud software stack that provides everything carriers and enterprises need to deploy an edge cloud on a few servers or hundreds of them.
Data science and big data analytics have become the new must-haves for businesses across many industries. Gone are the days when algorithm development and large-scale data mining were confined to Silicon Valley. In the modern, tech-savvy age, it’s almost an afterthought that banks, insurance brokerages, healthcare entities, and other non-tech-sector companies seek to be “the next Apple/Google/Amazon” or whatever tech behemoth completes the C-suite’s bromide. This is true not just in word, but in deed.
Keep me plugged in with the best
Join thousands of your peers and receive our weekly newsletter with the latest news, industry events, customer insights, and market intelligence.
Put your news, events, company, and promotional content in front of thousands of your peers and potential customers.
Not a member yet? Not a problem, Sign Up
Sign up to contribute and publish your news, events, brand, and content with the community for FREE