21
Presentation On Data Center Solution Designing By Bihag Karnani 8IT028

Data Center Optimization

Embed Size (px)

Citation preview

Page 1: Data Center Optimization

Presentation On Data Center Solution Designing By Bihag Karnani8IT028

Page 2: Data Center Optimization

What this document is all about?This document gives a brief idea about Data centers, Data center optimization and the processes involved in the optimization. This document contains the following portions:-

Terms related to the document which will be used in the document.Idea of Data center and Data center optimization.The layout of the data center.Current State of data center in question and the issues related.Benefits of Data Center Optimization.Proposed Solution.State of Infrastructure before and after the solution.Brief explanation of the processes that will be performed.Explanation of the methodology used and of the various phases involved in it

Page 3: Data Center Optimization

Related TermsSAN:-A storage area network (SAN) is an architecture to attach remote computer data storage devices (such as disk arrays, tape libraries) to servers so the devices appear as locally attached to the operating system.

VTL:-A virtual tape library (VTL) is a data storage virtualization technology used typically for backup and recovery purposes. A VTL presents a storage component (usually hard disk storage) as tape libraries or tape drives for use with existing backup software.

Blade Server:- A blade server is a stripped down server computer with a modular design optimized to minimize the use of physical space and energy. A blade enclosure, which can hold multiple blade servers, provides services such as power, cooling, networking, various interconnects and management. Together, blades and the blade enclosure form the blade system.

Page 4: Data Center Optimization

Related Terms(continued)Rack-mount server:-A 19-inch rack is a

standardized frame or enclosure for mounting multiple equipment modules. Each module has a front panel that is 19 inches (482.6 mm) wide, including edges or ears that protrude on each side which allow the module to be fastened to the rack frame with screws.

Rack unit:-A rack unit or U (less commonly RU) is a unit of measure used to describe the height of equipment intended for mounting in a 19-inch rack or a 23-inch rack. One rack unit is 1.75 inches

Page 5: Data Center Optimization

What is Data Center and Data Center Optimization?

A Data Center is a facility used to house computer systems and associated components, such as telecommunications and storage systems. It generally includes redundant or backup power supplies, redundant data communications connections, environmental controls (e.g., air conditioning, fire suppression) and security devices

Data Center Optimization is a journey from current to the aspired state and it covers lots of small, medium and large initiatives to achieve the goal.

Page 6: Data Center Optimization

Physical Layout of Data Center

Page 7: Data Center Optimization

Current landscape and issuesMost of the servers are not connected to SAN

All are old physical servers with space and compute power crunch.

The existing landscape can not cater to business growth.

AMC costs are going higher.

Most of the hardware is out of end of sales and end of warranty.Growing power, cooling and systems admin costs.

There are multiple data centers with limited capacity

  Units Current State

Number of DCs Number 15

Total Server OS Number 2259

Total Physical Number 1523

Total VMs Number 669

New Servers Number 0

P2V Ratio Ratio 1:05

Virtuatization Percentile 25%

Rack Utilization RU 24

Total Racks RU 108

Power Usage KW 955

Raised Floor Required

sq ft 5400

Page 8: Data Center Optimization

Approach to Data Centre Optimisation:Improving four (4) domains for lower costs, less risk, and faster growth.

8

Page 9: Data Center Optimization

Proposed solutionPhysical Data Center consolidation

Energy Efficient Data Centre (Power & Cooling Efficiency)

Network Consolidation

Infrastructure consolidation and virtualization

Server virtualizationStorage virtualizationBackup consolidation and virtualization

Private Internal Cloud Model for delivering Infrastructure as a Service which can be extended to Platform as a Service.

  Units Future State

Savings

Number of DCs Number 2 13

Total Server OS Number 1956 303

Total Physical Number 460 1063

Total VMs Number 1496 -827

New Servers Number 48 -48

P2V Ratio Ratio 1:15

Virtuatization Percentile 50%

Rack Utilization RU 30 -6

Total Racks RU 34 74

Power Usage KW 289 666

Raised Floor Required

sq ft 1700

Page 10: Data Center Optimization

Graph depicting change from current state to proposed state.

Page 11: Data Center Optimization

Data center facility consolidationData Center Consolidation involves the following steps which are explained in the slides ahead:

Page 12: Data Center Optimization

VirtualisationA method of partitioning one physical server computer into multiple “virtual” servers, giving each the appearance and capabilities of running on its own dedicated machine.

Each virtual server functions as a full-fledged server and can be independently rebooted.

There are three areas of IT where virtualization is making head roads, network virtualization, storage virtualization and server virtualization.

Page 13: Data Center Optimization

Storage VirtualisationStorage Virtualisation refers to the abstraction (separation) of logical storage from physical storage so that it may be accessed without regard to physical storage or heterogeneous structure.

This separation allows the Systems Admin increased flexibility in how they manage storage for end users.

The virtualization system presents to the user a logical space for data storage and itself handles the process of mapping it to the actual physical location.

Storage virtualization is commonly used in storage area networks (SANs)

Page 14: Data Center Optimization

Data migrationData Migration is the process of transferring data between storage types, formats, or computer systems.

Data migration is usually performed programmatically to achieve an automated migration, freeing up human resources from tedious tasks. It is required when organizations or individuals change computer systems or upgrade to new systems.

To achieve an effective data migration procedure, data on the old system is mapped to the new system providing a design for data extraction and data loading.

Data Extraction where data is read from the old system.

Data Loading where data is written to the new system

Page 15: Data Center Optimization

Backup consolidationBackup consolidation enables an organization to significantly reduce application backup and restore times.

Today's backup technology uses high capacity tape drives this could be the high capacity inexpensive disks, it automates backup, reduces sysadmin effort for backup (virtual tape library), with point in time technology

Tie these solutions to a robust business continuity and availability strategy-and the entire organization can benefit as :oImprove backup reliability oReduce media purchases oSpeed backups and restores oEnhance user productivity oLower IT costs and increase operational efficiency oEnable more effective decision-making that sharpens your competitive advantage

Page 16: Data Center Optimization

Network consolidation

The virtualization layer guarantees that each virtual machine is isolated from other virtual machines.

Virtual machines can talk to each other only via networking mechanisms similar to those used to connect separate physical machines.

Isolation allows administrators to build internal firewalls or other network isolation environments, allowing some virtual machines to connect to the outside while others connect only via virtual networks through other virtual machines.

Page 17: Data Center Optimization

Methodology

Page 18: Data Center Optimization

Plan phaseIn the plan phase the analysis of the following aspects is done :-

Current hardware

Current usage in terms of hardware and software

Various applications along with their hardware requirements

Flexibility and rigidity of software support

Rate of expansion and future usage

Licensing cost of various softwares and operating systems

Risk factors like environmental changes, government policies etc.

All this is done by queries response, face to face interviews, strategy of migration, critical servers, is their any pending penalty on the client

Page 19: Data Center Optimization

Design phaseIn the design phase a hardware and services support solution is created as per the client requirement and keeping in mind the conditions pre-defined by the client.

This is a lengthy process which involves taking suggestions, feedback and affirmation from multiple service support executives.

An optimum design which suits all involved parties is the result.

We identify the resources, project planning and duration, inter dependencies, dependencies,issues,assumptions, risks(diar)

All stake holders are defines, meeting schedules, reporting formats are discussed, implementation tools and technologies involved, associated downtime and associated time-line is decided

Creation of BOM(Bill of Material) and detailed level scope of work

Customer go ahead is requested

Sign off is given

Page 20: Data Center Optimization

Implementation phaseAfter the design has been given a go-ahead the service engineers perform the following implementation phases :-Data center facility consolidation

Data migration

Backup creation

Network consolidation

Creation of VMs

Building up SANs

Setting up

Data center site selection

DC build

Renovation of existing facility

Placing order

Putting infrastructure in place

Network storage

Securities

Firewalls

Putting resources like sysadmin, sys suport, on going support etc

Proof of concept

Sign off from customer

Documentation is handed over to on going support

Page 21: Data Center Optimization

Summary

The study of the current state of data center was made.

Advantages of Data Center Optimization were understood and a solution was proposed

The theory involved in this process were studied in detail.

The methodology was understood in a step wise manner.