Data Center - Data Analytics and Management - Digital Transformation - Bibliography

Engineering and Management of Data Centers: An IT Service Management Approach

Jorge Marx Gómez, Manuel Mora, Mahesh S. Raisinghani, Wolfgang Nebel, Rory V. O'Connor

Springer, 10-Nov-2017 - Computers - 290 pages

This edited volume covers essential and recent development in the engineering and management of data centers. Data centers are complex systems requiring ongoing support, and their high value for keeping business continuity operations is crucial. The book presents core topics on the planning, design, implementation, operation and control, and sustainability of a data center from a didactical and practitioner viewpoint. Chapters include:

· Foundations of data centers: Key Concepts and Taxonomies

· ITSDM: A Methodology for IT Services Design

· Managing Risks on Data Centers through Dashboards

· Risk Analysis in Data Center Disaster Recovery Plans

· Best practices in Data Center Management Case: KIO Networks

· QoS in NaaS (Network as a Service) using Software Defined Networking

· Optimization of Data Center Fault-Tolerance Design

· Energetic Data Centre Design Considering Energy Efficiency Improvements During Operation

· Demand-side Flexibility and Supply-side Management: The Use Case of Data Centers and Energy Utilities

· DevOps: Foundations and its Utilization in Data Centers

· Sustainable and Resilient Network Infrastructure Design for Cloud Data Centres

· Application Software in Cloud-Ready Data Centers

This book bridges the gap between academia and the industry, offering essential reading for practitioners in data centers, researchers in the area, and faculty teaching related courses on data centers. The book can be used as a complementary text for traditional courses on Computer Networks, as well as innovative courses on IT Architecture, IT Service Management, IT Operations, and Data Centers.

https://books.google.co.in/books?id=_Sc-DwAAQBAJ

https://link.springer.com/book/10.1007/978-3-319-65082-1

Books by Manuel Mora

https://www.wheelers.co.nz/browse/author/1095788-manuel-mora/

Open Access

International Journal of Information Technologies and Systems Approach (IJITSA)

Editor-in-Chief: Manuel Mora (Universidad Autónoma de Aguascalientes, Mexico)

https://www.igi-global.com/journal/international-journal-information-technologies-systems/1098

Data Center Analytics from Cisco Data Center Services & Solutions

As a key element of our Intent-Based Networking (IBN) strategy, we're delivering a powerful combination of data center analytics and automation capabilities — within and across domains — to help our customers simplify their network operations and attain the insights and assurance needed to continually evolve them.

The first step was pulling critical telemetry information out of the data and control planes and making it available to the analytics layer. We did this through silicon innovation, turning every networking device into a sensor.

Stitch together network, security, and application analytics to provide a Single source of truth for IT operations teams and a unified view across data center, campus, WAN, branch office, and cloud environments.

Provide AI/ML-based decision support tools for a range of common operations activities such as upgrade planning and software release guidance, proactive service level monitoring, smart troubleshooting based on graph-based search.

Extend to cloud-based analytics offers and mobile phone dashboard option.

Benefits to business:

1. Highest Operational Uptime and Outage Mitigation to meet SLAs/SLOs

2. OpEx (Operational Expenditure) Optimization and IT Strategic Agility Enhancement

3. Security Compliance and Assurance

Benefits to IT:

1. Faster remediation of issues while increasing agility

2. Allow engineers to focus on mission critical work

3. Greater confidence and less risk in operating your network

They need to be able to:  

analyze every component of a data center to first

assure business intent;

guarantee reliability;

and finally, identify performance issues in a network before they happen.

IT practitioners can do this through intent-based networking (IBN) and automation, which allows them to:

predict the power of their entire data center;

gain visibility for hybrid and multiclouds as well as SD-WAN;

analyze traffic and apps across hybrid clouds;

identify traffic patterns;

plan security and troubleshoot effectively;

optimize application performance by eliminating bottlenecks,

and more.

https://www.cisco.com/c/en/us/solutions/data-center-virtualization/what-is-dc-analytics.html

2020

https://www.unilever.com/careers/digital-transformation/

10 MARCH 2020

UNILEVER REVEALS THE ‘SECRET SAUCE’ DRIVING INNOVATION AND GROWTH

UK – Unilever is making savings of more than €30m each year by putting real-time consumer insight at the centre of decision-making.

https://www.research-live.com/article/news/unilever-reveals-the-secret-sauce-driving-innovation-and-growth-/id/5066282

2019

Unilever is using Google Cloud to help it create 1 billion one-to-one relationships with its consumers

April 11, 2019

Alex Owens, VP and Global Head of Data & Analytics at Unilever 

shares Unilever's journey with Google Cloud during the Next '19 San Francisco Customer Innovation Day 1 keynote.

Uploaded by Google Cloud.

https://www.youtube.com/watch?v=2jnp1hjjpMk

_________

_________

We speak to Alex Owens, VP Global People Data Centres at Unilever, about how the company is using Google Cloud to better target its consumers.

https://diginomica.com/unilever-is-using-google-cloud-to-help-it-create-1-billion-one-to-one-relationships-with-its-consumers

Unilever's  AI at 27 of its data centers worldwide.

10 April, 2019

The consumer goods company with US$57.40 billion in revenues last year is using artificial intelligence (AI) in marketing and conveying insights to product development teams.

The  company has established 27 “People Data Centers” around the world to create compelling and intelligent insights that drive the organization’s marketing decisions, new product development, logistics, and strategy.

https://techwireasia.com/2019/04/what-does-unilever-do-with-ai-at-27-of-its-data-centers-worldwide/

2014

https://aws.amazon.com/solutions/case-studies/unilever/

Ud. 22.4.2022,  9.12.2021

Pub: 6.9.2020