The Hyperscale Data Centers market size at $86.9.7 million in 2016 is anticipated to be $359.7 billion in 2023. The market has astoundingly rapid growth for a market that really is not yet well defined. The increasing scope of applications across different industries, manufacturing, medical, retail, game, and automotive, all industries really, is expected to drive demand over the forecast period to these unprecedented levels, reaching into the trillion-dollar market arenas soon. —
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Key Topics covered under this report:
Hyperscale Data Center, Scale, Automation, Cloud Computing, Cloud 2.0, Automatic Rules, Push-Button Actions, Cloud Application Integration, Container Control System, Open Source Container, Bare Metal To Container Controllers, Kubernetes Defacto Standard, Container Management System, Global IP Traffic, Mega Data Center, Google Kubernetes Defacto Standard Container, Digital Data Expanding Exponentially, Colocation Shared Infrastructure, Power and Data Center Fault Tolerance, 100 Gbps Adoption, Data Center Architectures, High-Performance Cloud Computing, Core Routing Platform, Datacenter Metrics, Mega Data Center Fabric Implementation, Digital Data, Open Source Container Control System, Defacto Standard Container Management System, Co-Location, and Social Media Cloud, Biggest Data Centers, Cloud 2.0, Intelligent Cloud Segment
Worldwide hyperscale data center markets implement cloud computing with shared resource and the aim, more or less achieved of providing foolproof security systems that protect the integrity of corporate data. Cloud data centers are poised to achieve explosive growth as they replace enterprise web server farms with cloud computing and with cloud 2.0 automated process computing. The implementation of secure large computing capability inside data center buildings provides economies of scale not matched by current state of the art enterprise data center standalone server technology.
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The bottleneck is potentially dangerous -- for a combination of reasons. The current routinely flows through at over 4 knots, and can hit 7 knots. Full current on the nose makes transit slow and awkward. Full current from astern where the current runs slightly cross-channel causes awkward transit at an alarmingly rapid pace.
The existing data centers have a lot of entrenched culture and equipment. Mainframes represent 86% of transaction data processing and function generally in a manner separated from web traffic, though they doo handle some web traffic. One issue is, “What to do with the existing mainframes with its separate culture, functioning at 115% of capacity, and utterly impregnable security?”
“The mega data centers have stepped in to do the job of automated process in the data center, increasing compute capacity efficiently by simplifying the processing task into two simple component parts that can scale on demand. There is an infrastructure layer that functions with simple processor, switch, and transceiver hardware orchestrated by software. There is an application layer that functions in a manner entirely separate from the infrastructure layer. The added benefit of automated application integration at the application layer brings massive savings to the IT budget, replacing manual process for application integration. The mainframe remains separate from this mega data center adventure, staying the course, likely to hold onto the transaction management part of data processing.”
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Facebook, Amazon (AWS), Microsoft, Google
365 Data Centers, Amazon, Apple, Alibaba, Baidu, Chef, China Building A Cloud Computing Complex, China Mobile, Colocation America Data Center Bandwidth and Measurements, Colo-D, CoreSIte, CyrusOne, Digital Realty, Docker, DuPont Fabros Technology, Edge ConneX, Equinix, Facebook, Forsythe, Google, Hewlett Packard Enterprise, IBM, Intel, I/O, InterXion, Mesosphere, Microsoft, US National Security Agency, NEC, NTT / RagingWire, OpenStack Cloud Controller, Puppet, QTS, Qualcom, Rackspace, Red Hat / Ansible, Switch, Tango, Tencent, Twitter, Yahoo
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Name: Ritesh Tiwari
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Release ID: 184042