Content tagged with Cloud Storage - posted in December 2016 - InformationWeek

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Content tagged with Cloud Storage
posted in December 2016
Will Cloud Service Prices Go Up in 2017?
Commentary  |  12/28/2016
Competition and price cutting might be good for cloud customers, but the glory days of low prices might not make it into 2017.
At AWS, 'Enterprise Strategy' Consists Of Helping Migrations
News  |  12/21/2016
Head of Enterprise Strategy Stephen Orban describes how AWS will try to assist more enterprise workloads in a move to the cloud.
Leveraging Open Source Reference Architectures Allows You To Give And Take From Broader Expertise
Partner Perspectives  |  12/14/2016
Many standard storage server manufacturers have participated in the development of reference architectures, providing great insight into how to best deploy their servers for each of your company's use cases.
Brooks Brothers In Style As It Moves To Cloud
News  |  12/13/2016
With operations depending on SAP HANA, Brooks Brothers management wanted a minimum of downtime in its move to AWS cloud.
Amazon CTO Vogels: 'We're in the pain management business'
News  |  12/12/2016
At AWS ReInvent, Werner Vogels looks back on how Amazon Web Services got to where it is, and where it's going next.
Trainline Tosses Exadata, Takes Oracle Into The Cloud
News  |  12/6/2016
Trainline migrates to the cloud, takes Oracle database applications with it for performance faster than Exadata's.
How Cloud Is Changing IT Investment Planning
Commentary  |  12/6/2016
IT roadmaps are shifting as technologies like cloud, containers, and software-defined infrastructure change where and how enterprise resources are consumed and managed.
AWS Smooths Developers' Path To Cloud, Enterprise To Follow?
News  |  12/6/2016
Amazon Web Services is filling the gaps in its software development/deployment process in a bid to attract enterprise developers.
Building MySQL DBaaS on OpenStack And Ceph Clouds
Partner Perspectives  |  12/5/2016
A cloud-based database-as-a-service offering can relieve the overwhelming burden of supporting today's scale of computing with yesterday's architectures.


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