5 ways to re­de­fine the eco­nom­ics of your stor­age ar­chi­tec­ture

S SRID­HAR

InformationWeek - - Contents -

Di­rec­tor & Gen­eral Manger, En­ter­prise So­lu­tions Group, Dell In­dia

or a CIO or an IT man­ager an eter­nal chal­lenge ex­ists when it comes to stor­age — de­ploy­ing stor­age in­fra­struc­ture that de­liv­ers the speed and agility re­quired by to­day’s IT so­lu­tions at an af­ford­able price point. In ad­di­tion to this, with mul­ti­ply­ing data and chang­ing IT in­fra­struc­ture, CIOs are re­quired to pre­pare their stor­age ar­chi­tec­ture to be ‘fu­ture-ready.’

More ef­fi­cient stor­age sys­tems could free up staff time to ben­e­fit the busi­ness in other ways, de­crease costs, and speed the re­sponse to re­quests for new ca­pa­bil­i­ties. For in­stance, Ra­jiv Gandhi Cancer In­sti­tute and Re­search Cen­tre re­cently de­ployed a num­ber of health­care tech­nol­ogy ini­tia­tives and wanted to in­vest in a highly scal­able stor­age man­age­ment sys­tem that would meet the ca­pac­ity de­mands of data-in­ten­sive med­i­cal im­ages and records. The in­sti­tute de­ployed a stor­age vir­tu­al­iza­tion so­lu­tion to deliver a sta­ble, scal­able plat­form for the hospi­tal in­for­ma­tion sys­tem, PACS and elec­tronic med­i­cal records. This has helped the in­sti­tute meet seven years of pro­jected data growth due to high scal­a­bil­ity and also dou­ble its over­all stor­age ca­pac­ity.

Or­ga­ni­za­tions can re­de­fine the ef­fi­ciency and cost-ef­fec­tive­ness of their data cen­ter through small changes/ad­di­tions and the adop­tion of in­no­va­tions. In this con­text, five things or­ga­ni­za­tions should con­sider be­fore choos­ing stor­age ar­chi­tec­ture are:

1 FLASH AT THE PRICE OF DISK OF­FER­INGS

Flash stor­age en­sures higher per­for­mance and greater busi­ness pro­duc­tiv­ity. It is dif­fer­ent from the other­wise used disk stor­age as the re­trieval of in­for­ma­tion is much faster and it has min­i­mum sus­cep­ti­bil­ity to dam­age. Flash stor­age, which was other­wise very pop­u­lar in the con­sumer space, is now gain­ing pop­u­lar­ity in the en­ter­prise seg­ment be­cause of its po­ten­tial in High Per­for­mance Com­put­ing. When as­sem­bled in an ef­fec­tive man­ner, the ben­e­fits of flash stor­age can be availed at the price of the disk.

2 SCAL­A­BIL­ITY & EN­TER­PRISE­CLASS FUNC­TION­AL­ITY

While choos­ing your stor­age in­fra­struc­ture, it is im­por­tant to keep in mind the growth of your com­pany. Your data and stor­age re­quire­ments are bound to in­crease over time. Your stor­age ar­chi­tec­ture should have the flex­i­bil­ity to sup­port new so­lu­tions with­out hav­ing to go through con­stant and ex­pen­sive re­fresh cy­cles. Ad­di­tion­ally, it is im­por­tant that the stor­age ar­chi­tec­ture that you de­ploy has the char­ac­ter­is­tics that drive en­ter­prise-class de­ci­sion mak­ing that de­liv­ers re­liance, re­li­a­bil­ity and ro­bust­ness that en­ter­prise-ready stor­age ar­chi­tec­ture pro­vides.

3

AU­TO­MATIC TIER­ING

Au­to­mated tier­ing means that data is stored only in the most ap­pro­pri­ate tiers, there­fore op­ti­miz­ing per­for­mance and costs. Data grav­i­tates to­wards the me­dia choice that fits its ac­tual needs and budget con­sid­er­a­tions. This in­tel­li­gent use of au­to­ma­tion makes stor­age eas­ier to man­age, re­duces stor­age com­plex­ity, stor­age costs and is the hall­mark of fu­ture-ready stor­age in­fra­struc­ture.

4 DATA DEDU­PLI­CA­TION & STOR­AGE VIR­TU­AL­IZA­TION

Tech­nolo­gies such as data dedu­pli­ca­tion, which refers to the process of find­ing and elim­i­nat­ing du­pli­cate pieces of data stored in dif­fer­ent data sets is said to re­duce data stor­age needs by as much as 90 per­cent. Ad­di­tion­ally, stor­age vir­tu­al­iza­tion that en­ables en­ter­prises to ab­stract mul­ti­ple stor­age de­vices into a sin­gle pool of stor­age helps ad­min­is­tra­tors move data in tiers. Con­sid­er­ing the in­clu­sion of such tech­nol­ogy for your stor­age in­fra­struc­ture can en­sure greater ben­e­fits.

5 CON­VERGED IN­FRA­STRUC­TURE

Con­verged in­fra­struc­ture (CI) is an ap­proach to data cen­ter man­age­ment that turns dis­parate data cen­ter com­po­nents such as stor­age, servers, net­work­ing, etc., into a sin­gle de­vice that can be cen­trally man­aged. It helps min­i­mize com­pat­i­bil­ity is­sues and sim­pli­fies the man­age­ment of servers, stor­age sys­tems and net­work de­vices while re­duc­ing costs for cabling, cool­ing, power and floor space. In fact, a Dell com­mis­sioned For­rester study found that 95 per­cent of IT lead­ers and stor­age ad­mins in­di­cated that they see value in buy­ing stor­age from the same ven­dor from whom they buy server, net­work­ing, sys­tem-man­age­ment or IT ser­vices as they felt that a deeper re­la­tion­ship with a smaller num­ber of ven­dors can build trust, pro­vide tech­nol­ogy syn­er­gies that ease man­age­ment and stream­line sup­port re­la­tion­ships.

In con­clu­sion, in or­der to stay ahead of the times, or­ga­ni­za­tions must be will­ing to take cal­cu­lated risks and cap­i­tal­ize on the in­no­va­tions that the mar­ket pre­sents.

S Srid­har is Di­rec­tor & en­eral Manger, En­ter rise Sol tions ro , Dell In­dia

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