Data Center Knowledge
AUGUST 16, 2013
The abstraction of the hardware layer within the data center means we are able to utilize new types of controls around our data center. New technologies are being deployed within the data center at a very fast pace. Bill Kleyman looks at how the future data center environment will be managed.
Network World
OCTOBER 18, 2023
Juniper Networks has expanded its security portfolio with an architecture design that includes AI-based predictive threat support and a new family of firewalls, all designed to protect distributed data center resources. It’s implemented in a new version of the vendor’s core Junos operating system (version 23.4)
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Data Center Knowledge
DECEMBER 11, 2014
The startup is doing for data centers what operating systems like Windows did for the personal computer Read More. Cloud Computing Enterprise Featured Management'
CIO Business Intelligence
OCTOBER 6, 2023
When you’re tasked with migrating 200,000 servers to a new operating system, a helping hand is very welcome indeed. But the most compelling aspect of the migration is that the process will be aided by Salesforce’s Data Cloud and its own generative AI platform. There are misconceptions about this,” he adds.
CIO Business Intelligence
JULY 26, 2023
Companies moving to the cloud often find themselves at a crossroads near the midpoint of their migrations, spending more than they intended and getting less than they hoped. Often that’s because their IT organization isn’t equipped with the culture, mindset, and skills necessary to capitalize on the cloud. That’s how you can scale.”
Network World
FEBRUARY 2, 2021
Arista has expanded its security software to let customers control authorized network access and communication between groups from the data center to the cloud. Additionally, the company’s MSS Host focuses on data-center security policies. See how AI can boost data-center availability and efficiency.
CIO Business Intelligence
MAY 31, 2023
Companies moving to the cloud often find themselves at a crossroads near the midpoint of their migrations , spending more than they intended and getting out less than they hoped. Often that’s because their IT organization isn’t equipped with the culture, mindset, and skills necessary to capitalize on the cloud. Can you explain?
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