Hosting in a Hybrid Model Data Management through Datacenter www.cmsitservices.com Introduction Datacenters are the omnipresent nerve centres of any organization. The concept of a Datacenter dates back to the late 1950s, when American Airlines automated one of its key business divisions – the passenger reservation system . The idea of an advanced data processing system became a concrete reality in 1960, when agents were able to electronically access and manage airline seat information remotely. Since then, the automation of data processing systems has evolved and there have been revolutionary advancements in data storage and Datacenter management systems. A paradigm shift can be observed in Datacenter infrastructure, software, hardware and ownership- models, which now need to operate in new cloud and subscription-based environments. `1 http://siliconangle.com/blog/2014/03/05/the-evolution-of-the-data-center-timeline-from-the-mainframe-to-the-cloud-tc0114/ Whitepaper
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Hosting in a Hybrid Model
Data Management through Datacenter
www.cmsitservices.com
IntroductionDatacenters are the omnipresent nerve centres of any organization. The concept of a
Datacenter dates back to the late 1950s, when American Airlines automated one of its
key business divisions – the passenger reservation system . The idea of an advanced
data processing system became a concrete reality in 1960, when agents were able
to electronically access and manage airline seat information remotely. Since then, the
automation of data processing systems has evolved and there have been revolutionary
advancements in data storage and Datacenter management systems. A paradigm
shift can be observed in Datacenter infrastructure, software, hardware and ownership-
models, which now need to operate in new cloud and subscription-based environments.
Evolution of Data CentresRapid changes in technology have led to the transformation of Datacenters from huge
physical storage systems to more advanced online storage and backup architectures
that we see today. Over the years, data storage has scaled a progressive journey and
come a long way from mainframe computers to desktops to a virtualisation enabled cloud
environment.
Mainframe ComputersIn the beginning (1960s) there were mainframe computers, which were able to host
multiple operating systems thereby enabling the functioning of several machines virtually.
Then came servers designed with parallel microcomputer concepts (1980s). In line with
local IT policies in that era, local users were able to gain more control of their systems
while still being connected to servers, through personal computer networks.
Cluster Computing
In the early 1990s, grid computing took shape enabling computers to communicate via
the internet to solve problems that were particularly big and demanded a large amount
of resources. The mid-1990s witnessed a disruptive age of Datacenter computing with
cluster or ‘commodity’ computing, where a group of servers called commodity clusters
were used instead of a single system to facilitate cost-effectiveness and improvement in
speed.
Emergence of Virtualisation
The infrastructure landscape started growing at a faster pace and thereby administration
control, cost of administration and maintenance increased. In order to reduce cost and
optimum utilization of resources, there was a need for virtualization. Server, storage,
network, database, middleware and application levels were required to be virtualized.
Virtualization is the stepping stone for transforming towards Cloud and all the Xaas
(where X can be I,P,S,D) form. At the turn of the century, virtual machines came into
existence. As a software implementation of a hardware system, the virtual machine or
hypervisor allowed for sharing of different systems, each running on their own operating
systems.
The Cloud Ecosystem
The next disruptive transformation took place with the advent of the cloud ecosystem.
Organizations started moving towards the ‘subscription economy’ where services and
resources were shareable, accessible and utilized on demand, online. By employing web- 1http://siliconangle.com/blog/2014/03/05/the-evolution-of-the-data-center-timeline-from-the-mainframe-to-the-cloud-tc0114/
accessible XaaS services such as Software-as-a-Service (SaaS), Platform-as-a-Service
(PaaS) and Infrastructure-as-a-Service (IaaS), small and medium sized companies were
able to utilize resources and services on demand. An umbrella term for XaaS later came
to be known as Cloud, which enabled virtualisation, scalable storage, computing and
networking, and on-demand, self-service accessibility through the internet.
Here’s a quick glimpse into the evolution of Datacenters over the decades:
Factors Driving the Evolving Landscape of Infrastructure Technology There is a paradigm shift in managing IT infrastructure in today’s complex and demanding
business environment. Innovative and disruptive technologies are being developed
and leveraged to enhance productivity and address the increasing complexity of the IT
environment. New and emerging 3rd platform technologies – built on a foundation of
cloud, mobile, social, and big data – are defining enterprise IT at a very fundamental level.
A recent survey of Indian IT professionals reveals that 91% of the respondents are of
the firm belief that these next-gen technologies will give their organizations competitive
advantage e – highlighting the fact that Indian organizations are swiftly embracing 3rd
platform technologies to their benefit.
Asset consolidation and transforming towards Hybrid model of Cloud Computing
is preferred strategy in 2015. Data warehousing, data mining and data archiving are
technologies which have seen a significant boost in the last decades, in a way that many
of their concepts and techniques have reached a significant level of maturity. Today,
decision support, data mining, trend analysis and pattern discovery have a large impact
on businesses. This has led to the development of new solutions and approaches, some
of them being incorporated into commercial tools and systems, others producing new
advancement opportunities in many fields.
Big Data – With widespread adoption of the Internet of Things (IoT), the size of data sets
and data-driven business analytics is only going to accelerate infinitely and become more
intricate. Big data is not only voluminous in nature; it is highly unstructured as well. The
skills, and migration methodology are brought together to ensure successful migration
with minimal downtime
• Significant Cost Savings - Innovative tools & techniques and a project portal, coupled
with CMS’s onsite/offshore delivery model, can bring significant savings in costs
associated with consolidation and migration. Additional cost benefits of reduction in
CAPEX and OPEX are realized through optimized infra, smaller power and cooling
footprint, and recued efforts in ongoing support and management.
• IT Environment Simplification – Simplified and optimized IT environment due to
reduction in number of locations, standardization of platforms, tools and processes.
This ensures a stable IT environment and optimizes the cost of administration and
maintenance.
• Reduction in Server Footprint and Optimum utilization – Reduced number of
servers and other infra footprint due to consolidation and virtualization results in better
utilization, reduction in power bills, easier management.
How CMS will deliver the Datacenter services
WhatDC Consulting, Migration and Consolidation
- Deliver Level 1 / 1.5 skills through Integrated Delivery Center (IDC) and NOC / SOC
- Event correlation through Tools- Level 2 and Level 3 support through mix of IDC and Onsite- Level 4 Solution Architect Team for Design & Architecting- Remote support through IDC, NOC, SOC and Catch and Dispatch model
for locations other than Datacenters
Storage Optimization
BackupOptimization
Database Services &
Transfromation
Who
Integrated Service
Delivery Model
Reactive to Predictive
Delivery Model
Analytics Led Transformation
End to End OwnershipHow
Automation Framework24x7 Support Coverage through
Industry standard event monitoring and correlation tools
Alliance with Datacenter Partner for Cloud service
Low Risk & Cost Managed approach to Transition
Application driven approach to Datacenter Migration
Build Domain wise Reference Architecture
Leverage existing customer relationship
Cloud Enablement & Virtualization
Open Source & EMS
Services
Internet of Things &
Automation
Our Cloud Enablement Services offer:
• A comprehensive basis for private and hybrid cloud technology strategy and road
map planning.
• Significant Cost benefit
• Quickly Identifies areas of strength and improvement in a virtual infrastructure
environment.
• Determines appropriateness of applications for placement in Private versus Public
Cloud.
• Understand specific benefits of virtualizing Business Critical Applications in a given