{"id":37169,"date":"2025-12-28T10:30:36","date_gmt":"2025-12-28T07:30:36","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/kuberneteste-local-path-provisionerin-sinirlamalari-ve-etkili-alternatif-cozumler\/"},"modified":"2025-12-28T10:30:36","modified_gmt":"2025-12-28T07:30:36","slug":"kuberneteste-local-path-provisionerin-sinirlamalari-ve-etkili-alternatif-cozumler","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/kuberneteste-local-path-provisionerin-sinirlamalari-ve-etkili-alternatif-cozumler\/","title":{"rendered":"Kubernetes’te Local Path Provisioner’\u0131n S\u0131n\u0131rlamalar\u0131 ve Etkili Alternatif \u00c7\u00f6z\u00fcmler"},"content":{"rendered":"

Kubernetes’te Local Path Provisioner’\u0131n S\u0131n\u0131rlamalar\u0131 ve Etkili Alternatif \u00c7\u00f6z\u00fcmler<\/h2>\n

Kubernetes, kapsay\u0131c\u0131 tabanl\u0131 uygulamalar\u0131 y\u00f6netmek i\u00e7in g\u00fc\u00e7l\u00fc bir platform sunar. Ancak, uygulamalar\u0131n durum bilgisi gerektiren verileri depolamas\u0131 gerekti\u011finde depolama \u00e7\u00f6z\u00fcmleri kritik hale gelir. Local Path Provisioner (LPP), geli\u015ftirme ve test ortamlar\u0131nda yerel depolama sa\u011flamak i\u00e7in basit ve h\u0131zl\u0131 bir yol sunsa da, \u00fcretim ortamlar\u0131nda ciddi s\u0131n\u0131rlamalar\u0131 bulunmaktad\u0131r. Bu makale, Local Path Provisioner’\u0131n k\u0131s\u0131tlamalar\u0131n\u0131 derinlemesine inceleyecek ve daha sa\u011flam, \u00f6l\u00e7eklenebilir alternatifleri tart\u0131\u015facakt\u0131r.<\/p>\n

Local Path Provisioner Nedir ve Neden Kullan\u0131l\u0131r?<\/h3>\n

Local Path Provisioner, Kubernetes k\u00fcmelerinde dinamik olarak yerel PersistentVolume’lar (PV) sa\u011flamak i\u00e7in kullan\u0131lan hafif bir depolama sa\u011flay\u0131c\u0131s\u0131d\u0131r. Temel amac\u0131, bir d\u00fc\u011f\u00fcm \u00fczerindeki belirli bir dizini, bir PersistentVolumeClaim (PVC) arac\u0131l\u0131\u011f\u0131yla bir Pod’a ba\u011flamakt\u0131r.<\/p>\n

Yerel Depolama \u0130htiyac\u0131<\/h4>\n

Baz\u0131 uygulamalar, d\u00fc\u015f\u00fck gecikme s\u00fcresi gerektiren veya do\u011frudan d\u00fc\u011f\u00fcm\u00fcn yerel diskine eri\u015fmesi gereken durum bilgili verilere ihtiya\u00e7 duyar. Bu t\u00fcr senaryolarda, a\u011f \u00fczerinden eri\u015filen depolama \u00e7\u00f6z\u00fcmleri performans darbo\u011fazlar\u0131 yaratabilir.<\/p>\n

Basitlik ve Kolay Kurulum<\/h4>\n

LPP’nin en b\u00fcy\u00fck avantajlar\u0131ndan biri, kurulumunun ve y\u00f6netiminin son derece basit olmas\u0131d\u0131r. Ek bir depolama altyap\u0131s\u0131 (NFS sunucusu, Ceph k\u00fcmesi vb.) gerektirmez, sadece Kubernetes k\u00fcmesi i\u00e7inde \u00e7al\u0131\u015f\u0131r. Bu, \u00f6zellikle h\u0131zl\u0131 prototipleme veya test ortamlar\u0131 i\u00e7in cazip hale getirir.<\/p>\n

Geli\u015ftirme ve Test Ortamlar\u0131 \u0130\u00e7in \u0130deal<\/h4>\n

Geli\u015ftiriciler ve test ekipleri, uygulamalar\u0131n\u0131 h\u0131zl\u0131ca aya\u011fa kald\u0131rmak ve yerel depolama gereksinimlerini kar\u015f\u0131lamak i\u00e7in LPP’yi tercih edebilirler. Karma\u015f\u0131k depolama yap\u0131land\u0131rmalar\u0131yla u\u011fra\u015fmadan, h\u0131zl\u0131ca PersistentVolume’lar olu\u015fturabilirler.<\/p>\n

Nas\u0131l \u00c7al\u0131\u015f\u0131r?<\/h4>\n

Local Path Provisioner, bir StorageClass<\/code> arac\u0131l\u0131\u011f\u0131yla tan\u0131mlan\u0131r. Bir Pod bir PVC talep etti\u011finde, LPP bu PVC’yi kar\u015f\u0131lamak i\u00e7in d\u00fc\u011f\u00fcm \u00fczerindeki \u00f6nceden belirlenmi\u015f bir dizin alt\u0131nda yeni bir alt dizin olu\u015fturur ve bu alt dizini i\u015faret eden bir PV olu\u015fturur. Pod, bu PV’yi kullanarak yerel diske eri\u015fir.<\/p>\n

\napiVersion: storage.k8s.io\/v1\nkind: StorageClass\nmetadata:\n  name: local-path\nprovisioner: rancher.io\/local-path\nvolumeBindingMode: WaitForFirstConsumer\nreclaimPolicy: Delete\n---\napiVersion: v1\nkind: PersistentVolumeClaim\nmetadata:\n  name: my-local-pvc\nspec:\n  accessModes:\n    - ReadWriteOnce\n  storageClassName: local-path\n  resources:\n    requests:\n      storage: 1Gi\n<\/pre>\n
<\/code><\/p>\n
Local Path Provisioner'\u0131n Temel S\u0131n\u0131rlamalar\u0131<\/h3>\n
LPP'nin basitli\u011fi ve kolayl\u0131\u011f\u0131, \u00fcretim ortamlar\u0131nda kar\u015f\u0131la\u015f\u0131lan zorluklar\u0131 g\u00f6z ard\u0131 etmemize neden olabilir. \u0130\u015fte LPP'nin temel s\u0131n\u0131rlamalar\u0131:<\/p>\n
Tek D\u00fc\u011f\u00fcm Ba\u011f\u0131ml\u0131l\u0131\u011f\u0131<\/h4>\n
LPP taraf\u0131ndan sa\u011flanan bir PersistentVolume, yaln\u0131zca olu\u015fturuldu\u011fu d\u00fc\u011f\u00fcm \u00fczerinde fiziksel olarak bulunur. Bu, Pod'un yaln\u0131zca o d\u00fc\u011f\u00fcmde \u00e7al\u0131\u015fabilece\u011fi anlam\u0131na gelir. E\u011fer Pod ba\u015fka bir d\u00fc\u011f\u00fcme ta\u015f\u0131n\u0131rsa (\u00f6rne\u011fin, d\u00fc\u011f\u00fcm ar\u0131zas\u0131 veya yeniden planlama nedeniyle), verilerine eri\u015femez.<\/p>\n
Veri Kayb\u0131 Riski<\/h4>\n
D\u00fc\u011f\u00fcm\u00fcn ar\u0131zalanmas\u0131, \u00e7\u00f6kmesi veya kal\u0131c\u0131 olarak kullan\u0131lamaz hale gelmesi durumunda, o d\u00fc\u011f\u00fcm \u00fczerindeki t\u00fcm yerel veriler kaybolma riskiyle kar\u015f\u0131 kar\u015f\u0131yad\u0131r. LPP, verilerin yedeklenmesi veya \u00e7o\u011falt\u0131lmas\u0131 i\u00e7in herhangi bir mekanizma sunmaz.<\/p>\n
Y\u00fcksek Eri\u015filebilirlik Eksikli\u011fi<\/h4>\n
Yukar\u0131daki iki s\u0131n\u0131rlama, LPP'nin y\u00fcksek eri\u015filebilirlik (HA) gerektiren durum bilgili uygulamalar i\u00e7in uygun olmad\u0131\u011f\u0131n\u0131 a\u00e7\u0131k\u00e7a ortaya koyar. Bir Pod'un ar\u0131zalanmas\u0131 durumunda ba\u015fka bir d\u00fc\u011f\u00fcmde yeniden ba\u015flat\u0131lmas\u0131, verilerine eri\u015femeyece\u011fi i\u00e7in ba\u015far\u0131s\u0131z olacakt\u0131r.<\/p>\n
Yedekleme ve Kurtarma Zorluklar\u0131<\/h4>\n
LPP ile olu\u015fturulan yerel PersistentVolume'lar\u0131n yedeklenmesi ve kurtar\u0131lmas\u0131, karma\u015f\u0131k ve manuel s\u00fcre\u00e7ler gerektirir. Her d\u00fc\u011f\u00fcmdeki verilerin ayr\u0131 ayr\u0131 y\u00f6netilmesi, b\u00fcy\u00fck \u00f6l\u00e7ekli k\u00fcmelerde pratik de\u011fildir ve hata yapma olas\u0131l\u0131\u011f\u0131n\u0131 art\u0131r\u0131r.<\/p>\n
Veri Kal\u0131c\u0131l\u0131\u011f\u0131 ve Y\u00fcksek Eri\u015filebilirlik Sorunlar\u0131<\/h3>\n
Durum bilgili uygulamalar i\u00e7in veri kal\u0131c\u0131l\u0131\u011f\u0131 ve y\u00fcksek eri\u015filebilirlik temel gereksinimlerdir. LPP bu konularda ciddi eksiklikler g\u00f6sterir.<\/p>\n
D\u00fc\u011f\u00fcm Ar\u0131zas\u0131nda Veri Eri\u015fimi<\/h4>\n
Bir d\u00fc\u011f\u00fcm ar\u0131zaland\u0131\u011f\u0131nda, bu d\u00fc\u011f\u00fcm \u00fczerindeki LPP taraf\u0131ndan sa\u011flanan t\u00fcm PV'ler eri\u015filemez hale gelir. Bu durum, ar\u0131zalanan d\u00fc\u011f\u00fcmdeki uygulamalar\u0131n \u00e7al\u0131\u015fmay\u0131 durdurmas\u0131na ve veri kayb\u0131na yol a\u00e7abilir. Kubernetes, Pod'u ba\u015fka bir d\u00fc\u011f\u00fcme ta\u015f\u0131maya \u00e7al\u0131\u015fsa bile, yeni d\u00fc\u011f\u00fcm eski veriye eri\u015femeyece\u011fi i\u00e7in Pod ba\u015flat\u0131lamaz.<\/p>\n
Otomatik Failover Yoklu\u011fu<\/h4>\n
LPP, depolama katman\u0131nda otomatik failover (y\u00fck devretme) mekanizmas\u0131 sunmaz. Depolama d\u00fc\u011f\u00fcm\u00fcn\u00fcn \u00e7\u00f6kmesi durumunda, verilerin ba\u015fka bir d\u00fc\u011f\u00fcmde otomatik olarak eri\u015filebilir hale gelmesi m\u00fcmk\u00fcn de\u011fildir. Bu, manuel m\u00fcdahale ve potansiyel uzun kesinti s\u00fcreleri anlam\u0131na gelir.<\/p>\n
Durum Bilgili Uygulamalar \u0130\u00e7in Uygunsuzluk<\/h4>\n
Veritabanlar\u0131, mesaj kuyruklar\u0131 veya durum bilgili \u00f6nbellekler gibi uygulamalar, verilerinin her zaman eri\u015filebilir ve tutarl\u0131 olmas\u0131n\u0131 gerektirir. LPP'nin do\u011fas\u0131 gere\u011fi bu t\u00fcr uygulamalar i\u00e7in uygun bir \u00e7\u00f6z\u00fcm de\u011fildir, \u00e7\u00fcnk\u00fc tek hata noktas\u0131 (single point of failure) olu\u015fturur.<\/p>\n
\u00d6l\u00e7eklenebilirlik ve Y\u00f6netim Zorluklar\u0131<\/h3>\n
B\u00fcy\u00fcyen bir Kubernetes k\u00fcmesinde LPP'nin y\u00f6netimi ve \u00f6l\u00e7eklenmesi, \u00f6nemli zorluklar do\u011furur.<\/p>\n
Depolama Alan\u0131n\u0131n S\u0131n\u0131rl\u0131 Olmas\u0131<\/h4>\n
Her d\u00fc\u011f\u00fcm\u00fcn yerel depolama kapasitesi s\u0131n\u0131rl\u0131d\u0131r. Bir d\u00fc\u011f\u00fcmdeki disk alan\u0131 doldu\u011funda, o d\u00fc\u011f\u00fcmde daha fazla PV olu\u015fturulamaz. K\u00fcme genelinde depolama ihtiyac\u0131 artt\u0131k\u00e7a, d\u00fc\u011f\u00fcmlere manuel olarak daha fazla disk eklemek veya yeni d\u00fc\u011f\u00fcmler eklemek gerekir ki bu da \u00f6l\u00e7eklenebilirlik a\u00e7\u0131s\u0131ndan verimsizdir.<\/p>\n
Manuel Y\u00f6netim Y\u00fck\u00fc<\/h4>\n
LPP ile her d\u00fc\u011f\u00fcmdeki yerel depolama alan\u0131n\u0131n izlenmesi, y\u00f6netilmesi ve gerekti\u011finde geni\u015fletilmesi manuel s\u00fcre\u00e7ler gerektirir. B\u00fcy\u00fck k\u00fcmelerde bu, \u00f6nemli bir operasyonel y\u00fck olu\u015fturur ve hata riskini art\u0131r\u0131r.<\/p>\n
\u00c7oklu D\u00fc\u011f\u00fcm Senaryolar\u0131nda Karma\u015f\u0131kl\u0131k<\/h4>\n
Birden fazla d\u00fc\u011f\u00fcme yay\u0131lan bir k\u00fcmede, her d\u00fc\u011f\u00fcm\u00fcn kendi yerel depolamas\u0131 oldu\u011fu i\u00e7in, uygulamalar\u0131n verilerini d\u00fc\u011f\u00fcmler aras\u0131nda payla\u015fmas\u0131 veya \u00e7o\u011faltmas\u0131 imkans\u0131z hale gelir. Bu, da\u011f\u0131t\u0131k uygulamalar\u0131n mimarisini k\u0131s\u0131tlar.<\/p>\n
Performans Darbo\u011fazlar\u0131<\/h4>\n
Her ne kadar yerel depolama performans\u0131 genellikle y\u00fcksek olsa da, bir d\u00fc\u011f\u00fcmdeki disk G\/\u00c7 yo\u011funlu\u011fu artt\u0131\u011f\u0131nda di\u011fer Pod'lar da etkilenebilir. Payla\u015f\u0131lan yerel disk, Pod'lar aras\u0131nda G\/\u00c7 kaynak \u00e7eki\u015fmesine yol a\u00e7arak performans darbo\u011fazlar\u0131 yaratabilir.<\/p>\n
G\u00fcvenlik ve \u0130zolasyon Endi\u015feleri<\/h3>\n
LPP kullan\u0131rken g\u00f6z \u00f6n\u00fcnde bulundurulmas\u0131 gereken baz\u0131 g\u00fcvenlik ve izolasyon endi\u015feleri de bulunmaktad\u0131r.<\/p>\n
Payla\u015f\u0131ml\u0131 Dizinlerin Riskleri<\/h4>\n
LPP, genellikle d\u00fc\u011f\u00fcm \u00fczerindeki belirli bir ana dizin alt\u0131nda alt dizinler olu\u015fturur. E\u011fer bu ana dizinin izinleri d\u00fczg\u00fcn yap\u0131land\u0131r\u0131lmazsa, farkl\u0131 Pod'lar veya hatta d\u00fc\u011f\u00fcmdeki di\u011fer s\u00fcre\u00e7ler bu verilere eri\u015febilir veya bunlar\u0131 de\u011fi\u015ftirebilir. Bu durum, veri b\u00fct\u00fcnl\u00fc\u011f\u00fc ve gizlili\u011fi a\u00e7\u0131s\u0131ndan risk olu\u015fturur.<\/p>\n
Kullan\u0131c\u0131 \u0130zolasyonu Eksikli\u011fi<\/h4>\n
Kubernetes'in RBAC (Rol Tabanl\u0131 Eri\u015fim Kontrol\u00fc) mekanizmalar\u0131 depolama sa\u011flay\u0131c\u0131s\u0131n\u0131 kontrol etse de, LPP'nin d\u00fc\u011f\u00fcm d\u00fczeyindeki uygulamas\u0131, temel i\u015fletim sistemi izinlerine dayan\u0131r. Farkl\u0131 kullan\u0131c\u0131lar veya servis hesaplar\u0131 taraf\u0131ndan kullan\u0131lan Pod'lar aras\u0131nda g\u00fc\u00e7l\u00fc bir izolasyon sa\u011flamak zorla\u015fabilir.<\/p>\n
Eri\u015fim Kontrol\u00fc Mekanizmalar\u0131<\/h4>\n
LPP, depolama seviyesinde geli\u015fmi\u015f eri\u015fim kontrol\u00fc mekanizmalar\u0131 sunmaz. Geli\u015fmi\u015f depolama \u00e7\u00f6z\u00fcmleri genellikle ACL'ler (Eri\u015fim Kontrol Listeleri) veya daha gran\u00fcler izin y\u00f6netimi sunarken, LPP bu konuda s\u0131n\u0131rl\u0131d\u0131r ve d\u00fc\u011f\u00fcm i\u015fletim sisteminin izinlerine ba\u011f\u0131ml\u0131d\u0131r.<\/p>\n
Local Path Provisioner'a Alternatif Depolama \u00c7\u00f6z\u00fcmleri<\/h3>\n
\u00dcretim ortamlar\u0131 ve durum bilgili uygulamalar i\u00e7in LPP'nin s\u0131n\u0131rlamalar\u0131n\u0131 a\u015fan daha g\u00fc\u00e7l\u00fc depolama \u00e7\u00f6z\u00fcmleri mevcuttur. \u0130\u015fte baz\u0131 pop\u00fcler alternatifler:<\/p>\n
A\u011f Tabanl\u0131 Depolama (NFS, iSCSI)<\/h4>\n
    \n
  • NFS (Network File System):<\/strong> Payla\u015f\u0131ml\u0131 bir dosya sistemi sunar ve birden fazla Pod'un ayn\u0131 veriye e\u015f zamanl\u0131 olarak eri\u015fmesine olanak tan\u0131r. Y\u00fcksek eri\u015filebilirlik ve veri kal\u0131c\u0131l\u0131\u011f\u0131 i\u00e7in harici bir NFS sunucusu gerektirir.<\/li>\n
  • iSCSI:<\/strong> Blok tabanl\u0131 depolama sa\u011flar ve sunucular\u0131n depolama birimlerine a\u011f \u00fczerinden eri\u015fmesine olanak tan\u0131r. Daha y\u00fcksek performans sunabilir ancak dosya sistemi y\u00f6netimi i\u015fletim sistemine aittir.<\/li>\n<\/ul>\n
    Da\u011f\u0131t\u0131k Depolama Sistemleri (Ceph, GlusterFS, Rook)<\/h4>\n
      \n
    • Ceph:<\/strong> Blok, dosya ve nesne depolamay\u0131 tek bir platformda birle\u015ftiren, y\u00fcksek oranda \u00f6l\u00e7eklenebilir ve hata toleransl\u0131 bir da\u011f\u0131t\u0131k depolama sistemidir. Kubernetes ile entegrasyonu i\u00e7in Rook gibi operat\u00f6rler kullan\u0131l\u0131r.<\/li>\n
    • GlusterFS:<\/strong> A\u011f \u00fczerinden birden fazla sunucuyu birle\u015ftirerek tek bir b\u00fcy\u00fck depolama havuzu olu\u015fturan da\u011f\u0131t\u0131k bir dosya sistemidir. Y\u00fcksek eri\u015filebilirlik ve \u00f6l\u00e7eklenebilirlik sunar.<\/li>\n
    • Rook:<\/strong> Kubernetes \u00fczerinde Ceph, Cassandra, CockroachDB gibi depolama sistemlerini \u00e7al\u0131\u015ft\u0131rmak i\u00e7in tasarlanm\u0131\u015f bir a\u00e7\u0131k kaynakl\u0131 bulut yerel depolama orkestrat\u00f6r\u00fcd\u00fcr. Depolama operat\u00f6rleri arac\u0131l\u0131\u011f\u0131yla y\u00f6netimi kolayla\u015ft\u0131r\u0131r.<\/li>\n<\/ul>\n
      Bulut Sa\u011flay\u0131c\u0131ya \u00d6zel Depolama (EBS, Azure Disk, GCE Persistent Disk)<\/h4>\n
      E\u011fer Kubernetes k\u00fcmeniz bir bulut sa\u011flay\u0131c\u0131s\u0131 \u00fczerinde \u00e7al\u0131\u015f\u0131yorsa, bu sa\u011flay\u0131c\u0131n\u0131n kendi y\u00f6netilen depolama hizmetlerini kullanmak en uygun \u00e7\u00f6z\u00fcmd\u00fcr. Bu hizmetler, y\u00fcksek eri\u015filebilirlik, yedekleme, anl\u0131k g\u00f6r\u00fcnt\u00fc (snapshot) ve otomatik \u00f6l\u00e7eklenebilirlik gibi geli\u015fmi\u015f \u00f6zellikler sunar.<\/p>\n
        \n
      • AWS EBS (Elastic Block Store):<\/strong> Amazon EC2 \u00f6rnekleri i\u00e7in kal\u0131c\u0131 blok depolama.<\/li>\n
      • Azure Disk Storage:<\/strong> Azure sanal makineleri i\u00e7in y\u00f6netilen diskler.<\/li>\n
      • Google Cloud Persistent Disk:<\/strong> Google Compute Engine \u00f6rnekleri i\u00e7in y\u00fcksek performansl\u0131 ve kal\u0131c\u0131 blok depolama.<\/li>\n<\/ul>\n
        Kapsay\u0131c\u0131 Depolama Aray\u00fcz\u00fc (CSI) S\u00fcr\u00fcc\u00fcleri<\/h4>\n
        CSI, Kubernetes'in depolama sa\u011flay\u0131c\u0131lar\u0131 ile standart bir aray\u00fcz \u00fczerinden etkile\u015fim kurmas\u0131n\u0131 sa\u011flayan bir standartt\u0131r. Yukar\u0131da bahsedilen t\u00fcm modern depolama \u00e7\u00f6z\u00fcmleri (Ceph, bulut sa\u011flay\u0131c\u0131 depolamalar\u0131 vb.) genellikle kendi CSI s\u00fcr\u00fcc\u00fclerini sunar. Bu, Kubernetes'in farkl\u0131 depolama teknolojilerini tutarl\u0131 bir \u015fekilde y\u00f6netmesini sa\u011flar.<\/p>\n
        Do\u011fru Depolama \u00c7\u00f6z\u00fcm\u00fcn\u00fc Se\u00e7mek<\/h3>\n
        Depolama \u00e7\u00f6z\u00fcm\u00fc se\u00e7imi, uygulaman\u0131z\u0131n gereksinimlerine, b\u00fct\u00e7enize ve operasyonel kapasitenize ba\u011fl\u0131d\u0131r. \u0130\u015fte dikkate alman\u0131z gereken baz\u0131 fakt\u00f6rler:<\/p>\n
        \u0130htiya\u00e7 Analizi ve Kriterler<\/h4>\n
          \n
        • Veri Kal\u0131c\u0131l\u0131\u011f\u0131:<\/strong> Veri kayb\u0131 tolerans\u0131 nedir? Uygulama ne kadar kritik?<\/li>\n
        • Y\u00fcksek Eri\u015filebilirlik:<\/strong> Uygulama ne kadar kesintiye dayan\u0131kl\u0131 olmal\u0131?<\/li>\n
        • Performans:<\/strong> Gecikme s\u00fcresi (latency) ve G\/\u00c7 (IOPS) gereksinimleri nelerdir?<\/li>\n
        • \u00d6l\u00e7eklenebilirlik:<\/strong> Depolama alan\u0131 ne kadar h\u0131zl\u0131 b\u00fcy\u00fcyebilir?<\/li>\n
        • Veri Payla\u015f\u0131m\u0131:<\/strong> Birden fazla Pod veya d\u00fc\u011f\u00fcm ayn\u0131 verilere eri\u015fmeli mi?<\/li>\n
        • Yedekleme ve Kurtarma:<\/strong> Hangi yedekleme stratejileri destekleniyor?<\/li>\n<\/ul>\n
          Maliyet ve Y\u00f6netim Y\u00fck\u00fc<\/h4>\n
          Bulut tabanl\u0131 \u00e7\u00f6z\u00fcmler genellikle daha az y\u00f6netim y\u00fck\u00fc gerektirir ancak ayl\u0131k maliyetleri olabilir. Kendi kendine y\u00f6netilen da\u011f\u0131t\u0131k depolama sistemleri (\u00f6rne\u011fin Ceph) ba\u015flang\u0131\u00e7ta daha fazla kurulum ve y\u00f6netim \u00e7abas\u0131 gerektirse de, uzun vadede maliyet etkin olabilir.<\/p>\n
          Performans ve G\u00fcvenilirlik<\/h4>\n
          Veritabanlar\u0131 gibi y\u00fcksek performans gerektiren uygulamalar i\u00e7in d\u00fc\u015f\u00fck gecikmeli, y\u00fcksek IOPS sunan \u00e7\u00f6z\u00fcmler tercih edilmelidir. Bulut sa\u011flay\u0131c\u0131lar\u0131n premium diskleri veya iyi optimize edilmi\u015f da\u011f\u0131t\u0131k depolama sistemleri bu ihtiyac\u0131 kar\u015f\u0131layabilir.<\/p>\n
          Gelecek Planlar\u0131 ve \u00d6l\u00e7eklenebilirlik<\/h4>\n
          Uygulaman\u0131z\u0131n ve k\u00fcmenizin gelecekteki b\u00fcy\u00fcmesini g\u00f6z \u00f6n\u00fcnde bulundurun. Se\u00e7ti\u011finiz depolama \u00e7\u00f6z\u00fcm\u00fcn\u00fcn, artan depolama ve performans gereksinimlerini kar\u015f\u0131layabilecek esnekli\u011fe sahip olmas\u0131 \u00f6nemlidir.<\/p>\n
          A\u015fa\u011f\u0131daki tablo, farkl\u0131 depolama \u00e7\u00f6z\u00fcmlerinin baz\u0131 temel \u00f6zelliklerini kar\u015f\u0131la\u015ft\u0131rmaktad\u0131r:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n
          \u00d6zellik<\/th>\nLocal Path Provisioner<\/th>\nNFS\/iSCSI<\/th>\nDa\u011f\u0131t\u0131k Depolama (Ceph)<\/th>\nBulut Sa\u011flay\u0131c\u0131 Diskleri<\/th>\n<\/tr>\n<\/thead>\n
          Kurulum Kolayl\u0131\u011f\u0131<\/td>\n\u00c7ok Kolay<\/td>\nOrta (Harici sunucu)<\/td>\nZor (Operat\u00f6rler ile kolayla\u015f\u0131r)<\/td>\nKolay (Y\u00f6netilen hizmet)<\/td>\n<\/tr>\n
          Y\u00fcksek Eri\u015filebilirlik<\/td>\nYok<\/td>\nHarici sunucuya ba\u011fl\u0131<\/td>\nY\u00fcksek<\/td>\nY\u00fcksek<\/td>\n<\/tr>\n
          Veri Kal\u0131c\u0131l\u0131\u011f\u0131<\/td>\nD\u00fc\u011f\u00fcm \u00f6mr\u00fcne ba\u011fl\u0131<\/td>\nY\u00fcksek<\/td>\nY\u00fcksek<\/td>\nY\u00fcksek<\/td>\n<\/tr>\n
          \u00d6l\u00e7eklenebilirlik<\/td>\nD\u00fc\u011f\u00fcm ba\u015f\u0131na s\u0131n\u0131rl\u0131<\/td>\nOrta<\/td>\n\u00c7ok Y\u00fcksek<\/td>\n\u00c7ok Y\u00fcksek<\/td>\n<\/tr>\n
          Performans<\/td>\nD\u00fc\u011f\u00fcm diskine ba\u011fl\u0131<\/td>\nA\u011f performans\u0131na ba\u011fl\u0131<\/td>\nY\u00fcksek (Yap\u0131land\u0131rmaya ba\u011fl\u0131)<\/td>\n\u00c7ok Y\u00fcksek (Tier'a ba\u011fl\u0131)<\/td>\n<\/tr>\n
          Maliyet<\/td>\nD\u00fc\u015f\u00fck<\/td>\nOrta<\/td>\nOrta-Y\u00fcksek (Donan\u0131m)<\/td>\nOrta-Y\u00fcksek (Kullan\u0131ma ba\u011fl\u0131)<\/td>\n<\/tr>\n
          Kullan\u0131m Alan\u0131<\/td>\nGeli\u015ftirme, test<\/td>\nBasit payla\u015f\u0131ml\u0131 depolama<\/td>\n\u00dcretim, durum bilgili uygulamalar<\/td>\n\u00dcretim, durum bilgili uygulamalar<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
          Sonu\u00e7<\/h3>\n
          Local Path Provisioner, Kubernetes'te yerel depolama ihtiya\u00e7lar\u0131n\u0131 h\u0131zl\u0131 ve kolay bir \u015fekilde kar\u015f\u0131lamak i\u00e7in m\u00fckemmel bir ara\u00e7t\u0131r, \u00f6zellikle geli\u015ftirme, test ve tek d\u00fc\u011f\u00fcml\u00fc k\u00fcmeler i\u00e7in idealdir. Ancak, \u00fcretim ortamlar\u0131nda veri kal\u0131c\u0131l\u0131\u011f\u0131, y\u00fcksek eri\u015filebilirlik, \u00f6l\u00e7eklenebilirlik ve g\u00fcvenlik gibi kritik konularda ciddi s\u0131n\u0131rlamalara sahiptir. Durum bilgili uygulamalar\u0131n\u0131z\u0131 da\u011f\u0131t\u0131rken, LPP'nin \u00f6tesine ge\u00e7erek NFS, iSCSI, Ceph, GlusterFS veya bulut sa\u011flay\u0131c\u0131s\u0131na \u00f6zel y\u00f6netilen depolama \u00e7\u00f6z\u00fcmleri gibi daha sa\u011flam alternatifleri de\u011ferlendirmek hayati \u00f6nem ta\u015f\u0131r. Do\u011fru depolama \u00e7\u00f6z\u00fcm\u00fcn\u00fc se\u00e7mek, uygulaman\u0131z\u0131n g\u00fcvenilirli\u011fini, performans\u0131n\u0131 ve gelecekteki \u00f6l\u00e7eklenebilirli\u011fini do\u011frudan etkileyecektir. \u0130htiya\u00e7lar\u0131n\u0131z\u0131 dikkatlice analiz ederek ve mevcut se\u00e7enekleri kar\u015f\u0131la\u015ft\u0131rarak en uygun karar\u0131 verebilirsiniz.<\/p>\n
          SSS (S\u0131k\u00e7a Sorulan Sorular)<\/h3>\n
          1. Local Path Provisioner \u00fcretim ortamlar\u0131nda kullan\u0131labilir mi?<\/h4>\n
          Genellikle hay\u0131r. Local Path Provisioner, veri kal\u0131c\u0131l\u0131\u011f\u0131, y\u00fcksek eri\u015filebilirlik ve \u00f6l\u00e7eklenebilirlik eksiklikleri nedeniyle \u00fcretim ortamlar\u0131 i\u00e7in uygun de\u011fildir. D\u00fc\u011f\u00fcm ar\u0131zas\u0131nda veri kayb\u0131 riski \u00e7ok y\u00fcksektir.<\/p>\n
          2. Local Path Provisioner ile veri yedeklemesi nas\u0131l yap\u0131l\u0131r?<\/h4>\n
          LPP, yerel depolama sa\u011flad\u0131\u011f\u0131 i\u00e7in kendi i\u00e7inde bir yedekleme mekanizmas\u0131 sunmaz. Verileri yedeklemek i\u00e7in, d\u00fc\u011f\u00fcm seviyesinde manuel olarak veya harici bir ara\u00e7 kullanarak dosya sistemi yedeklemeleri yapman\u0131z gerekir. Bu, karma\u015f\u0131k ve hataya a\u00e7\u0131k bir s\u00fcre\u00e7tir.<\/p>\n
          3. Hangi durumlarda Local Path Provisioner yerine Ceph gibi da\u011f\u0131t\u0131k depolama kullanmal\u0131y\u0131m?<\/h4>\n
          Uygulaman\u0131z y\u00fcksek eri\u015filebilirlik, veri kal\u0131c\u0131l\u0131\u011f\u0131, otomatik failover, \u00f6l\u00e7eklenebilirlik ve birden fazla Pod'un ayn\u0131 verilere e\u015f zamanl\u0131 eri\u015fimi gibi gereksinimlere sahipse, Ceph gibi da\u011f\u0131t\u0131k depolama \u00e7\u00f6z\u00fcmlerini tercih etmelisiniz. Veritabanlar\u0131, mesaj kuyruklar\u0131 ve di\u011fer durum bilgili \u00fcretim uygulamalar\u0131 bu kategoriye girer.<\/p>\n
          4. Local Path Provisioner kullan\u0131rken performans sorunlar\u0131 ya\u015far m\u0131y\u0131m?<\/h4>\n
          Yerel disk eri\u015fimi genellikle h\u0131zl\u0131d\u0131r, ancak bir d\u00fc\u011f\u00fcmdeki disk G\/\u00c7 yo\u011funlu\u011fu artt\u0131\u011f\u0131nda veya birden fazla Pod ayn\u0131 diski kulland\u0131\u011f\u0131nda performans sorunlar\u0131 ya\u015fanabilir. Ayr\u0131ca, d\u00fc\u011f\u00fcm\u00fcn kendisi bir performans darbo\u011faz\u0131 haline gelebilir.<\/p>\n
          5. CSI nedir ve Local Path Provisioner ile ili\u015fkisi nedir?<\/h4>\n
          CSI (Container Storage Interface), Kubernetes'in farkl\u0131 depolama sistemleriyle standart bir aray\u00fcz \u00fczerinden etkile\u015fim kurmas\u0131n\u0131 sa\u011flayan bir API'dir. Local Path Provisioner, CSI kullanmaz; do\u011frudan Kubernetes'in dahili depolama mekanizmalar\u0131na dayan\u0131r. Ancak modern ve geli\u015fmi\u015f depolama \u00e7\u00f6z\u00fcmleri (Ceph, bulut sa\u011flay\u0131c\u0131 diskleri vb.) genellikle kendi CSI s\u00fcr\u00fcc\u00fclerini sunar ve bu, Kubernetes'te depolama y\u00f6netimini standartla\u015ft\u0131r\u0131r.<\/p>\n","protected":false},"excerpt":{"rendered":"Kubernetes, kapsay\u0131c\u0131 tabanl\u0131 uygulamalar\u0131 y\u00f6netmek i\u00e7in g\u00fc\u00e7l\u00fc bir platform sunar. Ancak, uygulamalar\u0131n durum bilgisi gerektiren verileri depolamas…","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_page_header_type":"","csco_page_load_nextpost":"","csco_page_subscribe_form":"","csco_page_contact_form":"","footnotes":""},"categories":[1491],"tags":[],"class_list":{"0":"post-37169","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-kubernetes","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"\nKubernetes'te Local Path Provisioner'\u0131n S\u0131n\u0131rlamalar\u0131 ve Etkili Alternatif \u00c7\u00f6z\u00fcmler - Kodlar\u0131n Gizemli D\u00fcnyas\u0131<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fatihsoysal.com\/blog\/kuberneteste-local-path-provisionerin-sinirlamalari-ve-etkili-alternatif-cozumler\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Kubernetes'te Local Path Provisioner'\u0131n S\u0131n\u0131rlamalar\u0131 ve Etkili Alternatif \u00c7\u00f6z\u00fcmler\" \/>\n<meta property=\"og:description\" content=\"Kubernetes, kapsay\u0131c\u0131 tabanl\u0131 uygulamalar\u0131 y\u00f6netmek i\u00e7in g\u00fc\u00e7l\u00fc bir platform sunar. 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