Don rage matsalolin basirar DevOps, muna buƙatar ƙarin ƙwarewar AI, abin mamaki

An ba da rahoton cewa bayanan sirri na haɓaka bayanan sirri a cikin kasuwancin kuma suna yin haka don shagunan fasahar bayanai. Misali, AIOps (hankali na wucin gadi don ayyukan IT) yana amfani da AI da koyon injin zuwa kwararar bayanai daga hanyoyin IT, ta hanyar amo don ganowa, haske, da kawar da matsaloli. 

Har ila yau AI da koyan injin suna samun gida a wani yanki mai tasowa na IT: taimaka wa ƙungiyoyin DevOps don tabbatar da inganci da ingancin software wanda ke tafiya cikin sauri cikin sauri ta hanyar tsarin kuma zuwa ga masu amfani. 

Kamar yadda aka samo a cikin wani bincike na baya-bayan nan daga GitHub, ƙungiyoyin haɓakawa da ƙungiyoyin ops suna juyawa zuwa AI a cikin babbar hanya don daidaita kwararar lambar ta hanyar nazarin software da lokacin gwaji, tare da 31% na ƙungiyoyi suna yin amfani da AI da ML algorithms don bitar lambar. - fiye da ninki biyu na lambar bara. Binciken ya kuma gano 37% na ƙungiyoyi suna amfani da AI/ML a gwajin software (daga kashi 25%), da ƙarin shirin 20% don gabatar da shi a wannan shekara.

Hakanan: Fahimtar babban hangen nesa na Microsoft don gina tsara na gaba na apps

Additionalarin binciken daga Techstrong Research kuma Tricentis ya tabbatar da wannan yanayin. Binciken na 2,600 DevOps masu aiki da shugabanni ya gano 90% sun yarda game da shigar da ƙarin AI a cikin lokacin gwaji na DevOps, kuma suna ganin ta a matsayin hanyar magance ƙarancin ƙwarewar da suke fuskanta. (Tricentis mai siyar da gwajin software ne, tare da bayyanannen gungumen azaba a sakamakon. Amma bayanan suna da mahimmanci yayin da suke nuna haɓakar haɓakawa. shift zuwa ƙarin hanyoyin DevOps masu cin gashin kansu.)

Akwai ko da wani sabani da ya fito daga binciken Techstrong da Tricentis: Kamfanoni suna buƙatar ƙwarewa na musamman don rage buƙatar ƙwarewa na musamman. Aƙalla 47% na masu amsa sun bayyana cewa babban fa'idar AI-infused DevOps shine don rage gibin ƙwarewa, da kuma "saƙa da sauƙi ga ma'aikata don yin ayyuka masu rikitarwa." 

Hakanan: DevOps nirvana har yanzu manufa ce mai nisa ga mutane da yawa, bincike ya nuna

A lokaci guda kuma, rashin ƙwarewar da ake buƙata don haɓakawa da gudanar da gwajin software na AI mai ƙarfi da masu sarrafa suka yi nuni da shi a matsayin ɗaya daga cikin manyan shingaye ga AI-infused DevOps, a 44%. Wannan mummunan yanayi ne wanda da fatan za a gyara yayin da ƙarin ƙwararru ke shiga cikin horo da shirye-shiryen ilimi da aka mayar da hankali kan AI da koyan na'ura.  

Da zarar AI ya fara farawa tare da rukunin yanar gizon IT, zai taimaka yin ɓarna a cikin ayyukan aiki mai ƙarfi na DevOps. Kusan kashi biyu bisa uku na manajoji a cikin binciken (65%) sun ce gwajin software na aiki ya dace sosai kuma zai amfana sosai daga AI-augmented DevOps. "Nasarar DevOps na buƙatar sarrafa kansa na gwaji a sikelin, wanda ke haifar da ɗimbin ɗimbin bayanan gwaji masu rikitarwa kuma yana buƙatar canje-canje akai-akai don gwada shari'o'in," marubutan binciken sun nuna. "Wannan ya yi daidai da iyawar AI don gano alamu a cikin manyan bayanan bayanai da ba da haske waɗanda za a iya amfani da su don haɓakawa da haɓaka aikin gwaji."

Hakanan: Ayyukan sirri na wucin gadi sun ninka sau goma a cikin shekarar da ta gabata, in ji bincike

Tare da yuwuwar rage buƙatun ƙwarewa, binciken ya kuma gano fa'idodi masu zuwa don ƙara ƙarin AI cikin DevOps:

• Inganta ƙwarewar abokin ciniki: 48%
• Rage farashi: 45%
• Haɓaka ingancin ƙungiyoyi masu haɓakawa: 43%
• Ƙara ingancin lambar: 35%
• Magance matsalolin: 25%
• Ƙara saurin fitowar: 22%
• Ƙididdigar ilimi: 22%
• Hana lahani: 19% 

Masu karɓar farko na AI-augmented DevOps sun kasance daga manyan ƙungiyoyi. Wannan ba abin mamaki bane, tunda manyan damuwa zasu sami ƙarin ƙungiyoyin DevOps masu haɓakawa da samun damar samun mafita na ci gaba kamar AI. 

Hakanan: Lokaci ya yi da ƙungiyoyin fasaha za su nemo muryar su cikin ƙwarewar abokin ciniki

"Game da DevOps, waɗannan manyan kamfanoni suna da alamar ci gaban da suka samu wajen daidaita ƙarfin haɓaka software a cikin shekaru biyar zuwa bakwai da suka girma da kuma tsabtace bututun da hanyoyin su," in ji mawallafin Techstrong da Tricentis. "Wadannan ƙungiyoyin DevOps 'yan asalin girgije ne kuma suna amfani da bututun aikin DevOps, kayan aiki, sarrafa kansa, da fasahar girgije."

A cikin dogon lokaci, ba da AI don taimakawa tare da mahimman abubuwan DevOps ra'ayi ne mai wayo. Tsarin DevOps, don duk haɗin gwiwarsa da sarrafa kansa, yana ƙara gajiyawa kawai yayin da ake tsammanin software zata tashi daga kofa cikin sauri. Ka bar shi ga injina don ɗaukar abubuwa masu ban mamaki, kamar gwaji da saka idanu.