De­cod­ing DevOps

The es­ca­la­tion of DevOps as a soft­ware de­vel­op­ment hy­giene prac­tice is all set to al­ter the way IT is be­ing de­vel­oped and de­liv­ered

Dataquest - - INDUSTRY -

DevOps- the chances are you might have heard this term nu­mer­ous times. Even mar­ket trend watch­ers con­sis­tently post this as the big­gest trendsetter that will al­ter soft­ware de­vel­op­ment method­olo­gies and will have an over­all dis­rup­tive im­pact on en­ter­prise IT.

DevOps is clearly a dis­rup­tion that will get en­trenched in 2017 as IT ser­vices com­pa­nies and soft­ware de­vel­op­ers in­creas­ingly use this as the key dif­fer­en­tia­tor to be rel­e­vant to busi­ness de­mands and to add value to client side IT or­ga­ni­za­tions. DevOps is all about agility and con­tin­ues de­liv­ery that gives a high de­gree of mod­u­lar­ity to soft­ware de­vel­op­ment. SET­TING THE CON­TEXT Let’s try and un­der­stand why DevOps is crit­i­cal to IT- both to the sup­ply and de­mand side. Prob­a­bly a good start­ing point would be to ponder about a key ques­tion: What ails cur­rent soft­ware de­vel­op­ment prac­tices and why DevOps is be­ing touted as the panacea? We posed this ques­tion to in­dus­try ex­perts; this is what they have to say.

Pradeep Shilige, Ex­ec­u­tive Vice Pres­i­dent, Dig­i­tal Sys­tems and Tech­nol­ogy, Cog­nizant says, “DevOps may not be the panacea for all prob­lems and it is cer­tainly an im­por­tant ca­pa­bil­ity in ad­dress­ing them ef­fec­tively. By driv­ing au­to­ma­tion across the soft­ware de­liv­ery life­cy­cle, DevOps al­le­vi­ates hand-offs and de­liv­ers the abil­ity to quickly re­spond to feed­back on de­mand. Fur­ther, by fos­ter­ing a col­lab­o­ra­tive cul­ture and ne­ces­si­tat­ing skills en­hance­ment across IT and op­er­a­tions staff, DevOps also helps build a more ro­bust or­ga­ni­za­tion.”

Ex­perts also say that the soft­ware de­vel­op­ment world is rapidly mov­ing to­wards de­vel­op­ment of next-gen­er­a­tion prod­ucts and ser­vices that are mass-per­son­al­ized and de­ployed at mas­sive scale. Th­ese sys­tems are also typ­i­cally al­ways on, con­tin­u­ously adapted to changes and con­nect the phys­i­cal and dig­i­tal worlds. At the same time, th­ese sys­tems need to be de­liv­ered with shorter de­vel­op­ment cy­cles and higher pro­gram­mer pro­duc­tiv­ity while main­tain­ing the qual­ity of the of­fer­ing. www.dqin­ 15

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