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Cloud Computing Evolves: An Interview with Mats Johansson
Recently, Ericsson Digital released an amazing report on Edge Computing and 5G. In it, they explained how distributed cloud computing is paving the way for the future of network communications. They…
The IoT Nexus: Bosch Connected World 2019 in Berlin
Next week, I will be influencing #LikeABosch as I accept an invitation from the company to attend Bosch ConnectedWorld 2019 (BCW19) in Berlin, Germany. This is one of the world’s largest international…
Survive and Thrive With Digital Transformation
First cloud computing then multi-cloud. How can we get ahead of this digital transformation nightmare? These are the laments heard in conference rooms and board meeting around the world. While…
The “George Jetson” of Today
He grew up in Silicon Valley, landed his first job at Apple Computers, was introduced to Nobel Prize winners by his dad and today, he takes a self-driving car…
MWC19: Where Telecommunications and Cloud Meet
As a cloud solution architect, my passion is learning the details about how cloud computing uniquely supports specific business cases. This curiosity is what drove my excitement when Ericsson invited…
Tulane University SoPA Selects “Architechting Cloud Computing Solutions”
Last week, Packt Publishing announced that “Architecting Cloud Computing Solutions” by Kevin L. Jackson and Scott Goessling was selected for use by the Tulane University School of Professional Advancement, Applied Computing Systems & Technology Program as the textbook for…
5G Wireless Technology Connecting Healthcare
Healthcare is in the middle of massive change. Called digital transformation by many, this term describes the industry’s pursuit of the many promises offered by connected patients, connected caregivers, and…
Maria Lensing: The Network Platform for Healthcare’s Future
As a girl, Maria and her family traveled to Memphis, Tennessee to get cancer treatment for her sick brother. The miracle she observed, as the healthcare providers saved her brother’s…
How “Big Iron” Does “Big Regulation”
According to Verizon, there were over there were over 53,000 security incidents in 2017, with over 2,200 of those identified as confirm data breaches. A Ponemon Institute study also showed…
Mainframe Synergies for Digital Transformation
In July of 2018, Broadcom announced its intentions to acquire CA Technologies. In the press release, Hock Tan, President and Chief Executive Officer of Broadcom, said: “This transaction represents an…
As cloud computing becomes the information technology mainstream, data center technology is accelerating at a breakneck speed. Concepts like software define infrastructure, data center analytics and Nonvolatile Memory Express (NVMe) over Fabrics are changing the very nature of data center management. According to industry research firm IDC, organizations will spend an additional $142.8 billion oninfrastructure for both public and private cloud environments in the next three years (2016-2018) to boost efficiency and business agility.
- Investing in the ecosystem to accelerate enterprise-ready, easy-to-deploy software defined infrastructure (SDI) solutions;
- Optimizing SDI solutions to deliver highly efficient clouds across a range of workloads by taking full advantage of Intel platform capabilities; and
- Aligning the industry and engaging the community through open industry standards, solutions and routes to market to accelerate cloud deployment.
As cloud infrastructure management is moving towards these new management paradigms, those at the leading edge are exploring how to make data center’s think for themselves. Industry leaders like Dr. Brian Womack, Director of Distributed Analytics Solutions in Intel’s Data Center Solutions Group, and Das Kamhout, Senior Principal Engineer at Intel are learning how to use data, artificial intelligence frameworks and machine learning to create data centers that think for themselves. Two key components of their vision are SNAP and TAP.
SNAP is a powerful open data center telemetry framework. It can be used to easily collect, process, and publish telemetry data at scale. It enables better data center scheduling and workload management through access to underlying telemetry data and platform metrics. The framework greatly improves system administrator control of the intelligent use of data center infrastructure in cloud environments by:
- Empowering systems to expose a consistent set of telemetry data;
- Simplifying telemetry ingestion across ubiquitous storage system;
- Improving the deployment model, packaging and flexibility for collecting telemetry;
- Allowing flexible processing of telemetry data on agent (e.g. machine learning); and
- Providing powerful clustered control of telemetry workflows across small or large clusters.
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| Visit Chip Chat to hear more more about creating a data center that thinks for itself! |
This content is being syndicated through multiple channels. The opinions expressed are solely those of the author and do not represent the views of GovCloud Network, GovCloud Network Partners or any other corporation or organization.
( Thank you. If you enjoyed this article, get free updates by email or RSS – © Copyright Kevin L. Jackson 2016)
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