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If you’ve ever thought about investing in an enterprise-wide hybrid cloud, then you know its numerous advantages. First and utmost, it allows consolidating your workloads without cutting off resources or compromising application performance. This being said, many organizations still get cold feet when deciding to move to a hybrid cloud. What is behind these fears and why is it worth deploying a hybrid cloud?
The whole world is struggling with the COVID-19 pandemic and major cloud platform providers can’t stay away from this process. Microsoft Azure is at the forefront of the fight against the SARS-CoV-2 virus: it not only helps more and more people be connected and productive but also joins forces with medical startups to speed up the search for effective treatments for COVID-19. In what direction are these searches moving?
Cloud Storage provides virtually unlimited storage options for any amount of data worldwide. In this sense, Google Cloud Storage uses the Google Cloud Platform (GCP) infrastructure so you can serve website content, store data for archiving and disaster recovery purposes, and much more. Bucket creation is a paramount step when working with Google Cloud Storage as it allows you to access any file and any piece of object meta data at any time. Do you want to learn all the ins and outs of working with GCP and creating the sample buckets for your Google Cloud project?
As it became known yesterday the company Red Hat announced the acquisition of one of the largest start-ups CoreOS, the amount of the transaction is estimated at $250 million, and its completion is scheduled for March this year.
Red Hat is the world’s leading provider of open source solutions, using a community-based approach to providing reliable and high-performing cloud, virtualization, storage, Linux, and middleware technologies.
We want to remove old data storage technologies and provide people with new, better and more reliable ones!
We solve main problems of our customers, that come up in the process of data storage:
• how to save your data?
• how to make it more simple, reliable and cheap?
• how to solve the problem of constant increase of the size of stored data?
visit our site to learn more