{"id":1145,"date":"2024-05-21T00:57:43","date_gmt":"2024-05-20T21:57:43","guid":{"rendered":"https:\/\/www.fibacloud.com\/tr\/kaynaklar\/?p=1145"},"modified":"2026-10-06T03:08:30","modified_gmt":"2026-10-06T00:08:30","slug":"bulut-bilisimde-gelecek-trendleri","status":"publish","type":"post","link":"https:\/\/www.fibacloud.com\/tr\/kaynaklar\/genel\/bulut-bilisimde-gelecek-trendleri\/","title":{"rendered":"Bulut Bili\u015fimde Gelecek Trendleri"},"content":{"rendered":"
\n

Bulut bili\u015fimde bir e\u011filimin g\u00f6r\u00fcn\u00fcr olmas\u0131, her kurum i\u00e7in hemen uygulanmas\u0131 gerekti\u011fi anlam\u0131na gelmez. Yapay zek\u00e2 i\u015f y\u00fckleri, otomasyon, hibrit mimariler ve serverless modeller farkl\u0131 ihtiya\u00e7lara yan\u0131t verir. Yararl\u0131 bir teknoloji de\u011ferlendirmesi; beklenen fayday\u0131, ek i\u015fletim y\u00fck\u00fcn\u00fc, veri ko\u015fullar\u0131n\u0131 ve \u00e7\u0131k\u0131\u015f yolunu birlikte ele al\u0131r.<\/p>\n

\"Teknoloji
Pazar g\u00f6r\u00fcn\u00fcrl\u00fc\u011f\u00fc, belirli bir i\u015f y\u00fck\u00fcnde teknik kabul\u00fcn yerine ge\u00e7mez.
G\u00f6rseli b\u00fcy\u00fct \u2192<\/a><\/figcaption><\/figure>\n

Yapay zek\u00e2 i\u015f y\u00fcklerinde veri ve i\u015fletim \u00f6ne \u00e7\u0131kar<\/h2>\n

AI ve makine \u00f6\u011frenmesi, hesaplama kayna\u011f\u0131n\u0131n yan\u0131nda veri kalitesi, de\u011ferlendirme ve model ya\u015fam d\u00f6ng\u00fcs\u00fc gerektirir. E\u011fitim ile tahmin sunumunun gecikme ve kapasite hedefleri farkl\u0131d\u0131r. \u0130\u015fletmeler kullanacaklar\u0131 modelin hak, maliyet ve veri aktar\u0131m ko\u015fullar\u0131n\u0131 birlikte de\u011ferlendirmelidir.<\/p>\n

Ba\u015flang\u0131\u00e7 i\u00e7in belirli bir i\u015f g\u00f6revinde kabul \u00f6l\u00e7\u00fcs\u00fc se\u00e7in. Modelin hangi hatalarda insan de\u011ferlendirmesine d\u00f6nece\u011fini ve sonucu nas\u0131l izleyece\u011finizi tan\u0131mlay\u0131n. B\u00fcy\u00fck model veya GPU yat\u0131r\u0131m\u0131 tek ba\u015f\u0131na i\u015f de\u011feri kan\u0131t\u0131 de\u011fildir.<\/p>\n

Otomasyon ve platform standartlar\u0131<\/h2>\n

Tekrarlanabilir ortam tan\u0131mlar\u0131 ve kontroll\u00fc yay\u0131n ak\u0131\u015flar\u0131 ekiplerin tutarl\u0131 \u00e7al\u0131\u015fmas\u0131n\u0131 destekleyebilir. Bir platform kurmak, geli\u015ftirici ihtiyac\u0131n\u0131 ger\u00e7ekten kolayla\u015ft\u0131rd\u0131\u011f\u0131 \u00f6l\u00e7\u00fcde yararl\u0131d\u0131r. Ek ara\u00e7lar\u0131n bak\u0131m\u0131n\u0131 ve hata inceleme y\u00fck\u00fcn\u00fc de hesaba kat\u0131n.<\/p>\n

Ba\u015far\u0131l\u0131 ba\u015flang\u0131\u00e7, s\u0131k yap\u0131lan bir i\u015fi anla\u015f\u0131l\u0131r ve geri al\u0131nabilir hale getirmek olabilir. Otomasyona geni\u015f yetki vermeden etki kapsam\u0131n\u0131, de\u011fi\u015fiklik kayd\u0131n\u0131 ve ba\u015far\u0131s\u0131zl\u0131k davran\u0131\u015f\u0131n\u0131 belirleyin.<\/p>\n

Hibrit ve \u00e7oklu bulutta ortak i\u015fletim<\/h2>\n

Farkl\u0131 ortamlar\u0131 birlikte kullanmak veri konumu veya belirli hizmet gereksinimlerine yan\u0131t verebilir. Ancak kimlik, a\u011f, log ve maliyet y\u00f6netimi daha karma\u015f\u0131k hale gelebilir. Ayn\u0131 uygulaman\u0131n ortamlar aras\u0131nda ta\u015f\u0131nabilirli\u011fini ger\u00e7ek ba\u011f\u0131ml\u0131l\u0131klar\u0131 \u00fczerinden \u00f6l\u00e7\u00fcn.<\/p>\n

Birden fazla sa\u011flay\u0131c\u0131 bulunmas\u0131 otomatik kesintisizlik de\u011fildir. Ortak kimlik, DNS veya veri sistemi tek hata noktas\u0131 olarak kalabilir. Devralma ve veri tutarl\u0131l\u0131\u011f\u0131n\u0131 pilotta do\u011frulay\u0131n.<\/p>\n

Serverless modeli nerede uygun olabilir?<\/h2>\n

Serverless yakla\u015f\u0131mda altyap\u0131n\u0131n baz\u0131 i\u015fletim g\u00f6revleri platform taraf\u0131ndan soyutlan\u0131r. Sunucu tamamen ortadan kalkmaz; uygulama kodu, izinler, tetikleyiciler ve veri davran\u0131\u015f\u0131 yine tasarlan\u0131r. Olay bazl\u0131 k\u0131sa i\u015fler veya de\u011fi\u015fken y\u00fckler i\u00e7in uygunluk de\u011ferlendirilebilir.<\/p>\n

\u00c7al\u0131\u015fma s\u00fcresi, durum y\u00f6netimi, so\u011fuk ba\u015flang\u0131\u00e7, ba\u011flant\u0131 s\u0131n\u0131rlar\u0131 ve \u00fccretlendirmeyi inceleyin. Uzun \u00e7al\u0131\u015fan veya s\u00fcrekli y\u00fcksek kullan\u0131ml\u0131 bir i\u015fin ba\u015fka bir modelde daha uygun olabilece\u011fini \u00f6l\u00e7\u00fcn. \u00dcr\u00fcn deste\u011fini sa\u011flay\u0131c\u0131n\u0131n g\u00fcncel kapsam\u0131ndan do\u011frulay\u0131n.<\/p>\n

G\u00fcvenlik, maliyet ve s\u00fcrd\u00fcr\u00fclebilirli\u011fi ayn\u0131 karar\u0131n par\u00e7as\u0131 yap\u0131n<\/h2>\n\n\n\n\n\n\n\n\n
Alan<\/th>\nKabul \u00f6l\u00e7\u00fcs\u00fc<\/th>\n<\/tr>\n<\/thead>\n
G\u00fcvenlik<\/td>\nEri\u015fim s\u0131n\u0131r\u0131, kay\u0131t ve geri kazan\u0131m\u0131n do\u011frulanmas\u0131.<\/td>\n<\/tr>\n
Maliyet<\/td>\nToplam bedel ve uygun i\u015f birimi ba\u015f\u0131na kullan\u0131m.<\/td>\n<\/tr>\n
\u0130\u015fletim<\/td>\nSorumlu ekip, gerekli beceri ve hata inceleme s\u00fcreci.<\/td>\n<\/tr>\n
\u00c7\u0131k\u0131\u015f<\/td>\nVeri \u00e7\u0131karma, ba\u011f\u0131ml\u0131l\u0131k ve alternatifte \u00e7al\u0131\u015fma ko\u015fulu.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Kaynak verimlili\u011fi \u00e7evresel de\u011ferlendirmeye katk\u0131 sa\u011flayabilir; ger\u00e7ek enerji veya emisyon iddialar\u0131 \u00f6l\u00e7\u00fcm kapsam\u0131yla desteklenmelidir. FibaCloud se\u00e7eneklerini g\u00fcncel hizmet \u00f6zellikleriyle kar\u015f\u0131la\u015ft\u0131r\u0131n. Genel trend listesini, gereksinimlerinizle do\u011frulanm\u0131\u015f bir uygulama plan\u0131na d\u00f6n\u00fc\u015ft\u00fcr\u00fcn.<\/p>\n

S\u0131k sorulan sorular<\/h2>\n
\n
Yeni bir bulut trendini hemen uygulamak gerekir mi?<\/strong><\/dt>\n
\n

Hay\u0131r. \u0130\u015f ihtiyac\u0131, ekip kapasitesi, maliyet ve kabul \u00f6l\u00e7\u00fcleriyle de\u011ferlendirin; s\u0131n\u0131rl\u0131 bir pilot uygun ba\u015flang\u0131\u00e7 olabilir.<\/p>\n<\/dd>\n

Serverless kullan\u0131nca uygulama i\u015fletimi tamamen biter mi?<\/strong><\/dt>\n
\n

Hay\u0131r. Kod, izin, veri, g\u00f6zlemleme ve hata y\u00f6netimi sorumluluklar\u0131 devam eder; platform kapsam\u0131 farkl\u0131la\u015f\u0131r.<\/p>\n<\/dd>\n<\/dl>\n

Sonraki ad\u0131m<\/h2>\n

Aday mimariyi hibrit ve \u00e7oklu bulut<\/a>, model i\u015f y\u00fck\u00fcn\u00fc AI ve ML i\u015fletimi<\/a> ve maliyeti FinOps odakl\u0131 kontrol rehberi<\/a> ile inceleyin.<\/p>\n

Kaynaklar<\/h2>\n
    \n
  1. CNCF Cloud Native Glossary \u2014 Serverless<\/a><\/li>\n
  2. NIST AI 100-1 \u2014 AI Risk Management Framework 1.0<\/a><\/li>\n
  3. FinOps Framework Overview<\/a><\/li>\n
  4. NIST SP 800-146 \u2014 Cloud Computing Synopsis and Recommendations<\/a><\/li>\n<\/ol>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

    Bulut bili\u015fimde bir e\u011filimin g\u00f6r\u00fcn\u00fcr olmas\u0131, her kurum i\u00e7in hemen uygulanmas\u0131 gerekti\u011fi anlam\u0131na gelmez. Yapay zek\u00e2 i\u015f y\u00fckleri, otomasyon, hibrit mimariler ve serverless modeller farkl\u0131 ihtiya\u00e7lara yan\u0131t verir. Yararl\u0131 bir teknoloji de\u011ferlendirmesi; beklenen fayday\u0131, ek i\u015fletim y\u00fck\u00fcn\u00fc, veri ko\u015fullar\u0131n\u0131 ve \u00e7\u0131k\u0131\u015f yolunu birlikte ele al\u0131r. Pazar g\u00f6r\u00fcn\u00fcrl\u00fc\u011f\u00fc, belirli bir i\u015f y\u00fck\u00fcnde teknik kabul\u00fcn yerine ge\u00e7mez.G\u00f6rseli […]<\/p>\n","protected":false},"author":1,"featured_media":1391,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1,26,24,25,32],"tags":[74,219,218],"class_list":["post-1145","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-genel","category-bilgi-islem","category-bulut-danismanlik-hizmeti","category-buluta-genel-bakis","category-depolama","tag-bulut-bilisim","tag-is-dunyasi","tag-teknoloji-trendleri"],"_links":{"self":[{"href":"https:\/\/www.fibacloud.com\/tr\/kaynaklar\/wp-json\/wp\/v2\/posts\/1145","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.fibacloud.com\/tr\/kaynaklar\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.fibacloud.com\/tr\/kaynaklar\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.fibacloud.com\/tr\/kaynaklar\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.fibacloud.com\/tr\/kaynaklar\/wp-json\/wp\/v2\/comments?post=1145"}],"version-history":[{"count":6,"href":"https:\/\/www.fibacloud.com\/tr\/kaynaklar\/wp-json\/wp\/v2\/posts\/1145\/revisions"}],"predecessor-version":[{"id":1153,"href":"https:\/\/www.fibacloud.com\/tr\/kaynaklar\/wp-json\/wp\/v2\/posts\/1145\/revisions\/1153"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.fibacloud.com\/tr\/kaynaklar\/wp-json\/wp\/v2\/media\/1391"}],"wp:attachment":[{"href":"https:\/\/www.fibacloud.com\/tr\/kaynaklar\/wp-json\/wp\/v2\/media?parent=1145"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.fibacloud.com\/tr\/kaynaklar\/wp-json\/wp\/v2\/categories?post=1145"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.fibacloud.com\/tr\/kaynaklar\/wp-json\/wp\/v2\/tags?post=1145"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}