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On-premises STaaS shifts storage buying to Opex model
This article is part of the Storage issue of August 2020, Vol. 18, No. 3
Deploying and managing enterprise storage is a costly and complex process. IT departments must plan, purchase, install, configure, maintain, update, retire and dispose of equipment -- all the steps that constitute storage lifecycle management. To simplify operations and avoid high upfront costs, many organizations turn to public cloud platforms to meet some or most of their storage needs. Storage as a service (STaaS) eliminates Capex, simplifies management and offers extensive flexibility. Unfortunately, STaaS delivered through a public cloud platform has its issues, particularly around security, control and performance. Even so, organizations like the concept of storage delivered as a managed service because of the ease of use afforded by cloud services. To get the best of both worlds, IT teams have been looking for ways to bring cloud-like functionality to their on-premises data centers, often implementing private or hybrid clouds that duplicate many of the advantages of public services. Deploying infrastructure in-house, ...
Features in this issue
Surveys indicate few IT pros should be concerned about layoffs due to COVID-19. But other factors, such as reskilling, training and the new WFH reality, are having a profound effect.
Computational and storage advances are expanding the role of object storage beyond traditional HPC and cloud to emerging data analytics, machine learning and deep learning use cases.
News in this issue
While most of the events of a remarkable 2020 would not be welcome again, changes to the IT and storage landscape will stay with us for the foreseeable future.
Storage as a service enables organizations to access on-premises storage in various ways, such as pay as you go, subscription buying and metered payments. Learn the pros and cons.
Columns in this issue
Hyper-convergence simplified deployment and scaling of IT resources over the past decade, but modern IT is far more complex than it once was. HCI vendors evolved, but have you?
Storing time-series data should depend on how the data is used and its age. Discover tips for saving data for comparative analysis, machine learning and other purposes.