Kubernetes Cluster Autoscaler: Temel Kavramlar ve Kurulum<\/p>\n
Kubernetes, g\u00fcn\u00fcm\u00fcz\u00fcn en pop\u00fcler konteyner orkestrasyon platformlar\u0131ndan biridir. Kubernetes, uygulamalar\u0131n\u0131z\u0131n \u00f6l\u00e7eklenebilirli\u011fi, y\u00fcksek kullan\u0131labilirli\u011fi ve y\u00f6netilebilirli\u011fini sa\u011flamak i\u00e7in tasarlanm\u0131\u015ft\u0131r. Ancak, Kubernetes k\u00fcmeleriyle \u00e7al\u0131\u015f\u0131rken kar\u015f\u0131la\u015f\u0131lan en b\u00fcy\u00fck zorluklardan biri, d\u00fc\u011f\u00fcm say\u0131s\u0131n\u0131 otomatik olarak y\u00f6netmektir.<\/p>\n
Kubernetes Cluster Autoscaler (CA), Kubernetes k\u00fcmelerinizi otomatik olarak \u00f6l\u00e7ekleyen bir ara\u00e7t\u0131r. Bu, gereksinimlerinizi kar\u015f\u0131lamak i\u00e7in d\u00fc\u011f\u00fcm say\u0131s\u0131n\u0131 otomatik olarak art\u0131r\u0131r veya azalt\u0131r. CA, k\u00fcmenizdeki kaynak kullan\u0131m\u0131n\u0131 izleyerek ve gereksinimlerinizi kar\u015f\u0131lamak i\u00e7in d\u00fc\u011f\u00fcm say\u0131s\u0131n\u0131 ayarlayarak \u00e7al\u0131\u015f\u0131r.<\/p>\n
## Kubernetes Cluster Autoscaler’\u0131n Temel Kavramlar\u0131<\/p>\n
CA, Kubernetes k\u00fcmelerinin otomatik \u00f6l\u00e7eklendirilmesiyle ilgili bir dizi temel kavram\u0131 kullan\u0131r.<\/p>\n
* **Minimum ve Maksimum Boyut:** CA, k\u00fcmenizdeki d\u00fc\u011f\u00fcm say\u0131s\u0131 i\u00e7in bir minimum ve maksimum s\u0131n\u0131r belirlemenizi sa\u011flar. Bu, CA’n\u0131n k\u00fcmenizi gere\u011finden fazla \u00f6l\u00e7eklendirmesini veya kaynak israf\u0131na neden olmas\u0131n\u0131 engeller.
\n* **\u00d6l\u00e7eklendirme H\u0131z\u0131:** CA, yeni d\u00fc\u011f\u00fcmler eklemenin veya mevcut d\u00fc\u011f\u00fcmleri kald\u0131rman\u0131n h\u0131z\u0131n\u0131 kontrol etmek i\u00e7in kullanabilece\u011finiz bir \u00f6l\u00e7eklendirme h\u0131z\u0131 parametresine sahiptir.
\n* **Kullan\u0131m E\u015fi\u011fi:** CA, d\u00fc\u011f\u00fcmlere yeni podlar eklemek veya mevcut podlar\u0131 kald\u0131rmak i\u00e7in bir kullan\u0131m e\u015fi\u011fi parametresi kullan\u0131r. Bu, CA’n\u0131n gerekenden fazla d\u00fc\u011f\u00fcm eklemesini veya kaynak israf\u0131na neden olmas\u0131n\u0131 engeller.
\n* **Durdurma S\u00fcresi:** CA, d\u00fc\u011f\u00fcmlerden podlar\u0131 kald\u0131rmak i\u00e7in bir bekleme s\u00fcresi parametresi kullan\u0131r. Bu, podlar\u0131n aniden durdurulmas\u0131n\u0131 \u00f6nleyerek hizmet kesintisi riskini en aza indirir.
\n* **Y\u00fck Dengesizli\u011fi:** CA, yeni d\u00fc\u011f\u00fcmler eklemeden \u00f6nce belirli bir s\u00fcre boyunca y\u00fck dengesizli\u011fini izler. Bu, CA’n\u0131n gereksiz \u00f6l\u00e7eklendirmelerden ka\u00e7\u0131nmas\u0131n\u0131 sa\u011flar.<\/p>\n
## Kubernetes Cluster Autoscaler Kurulumu<\/p>\n
CA’y\u0131 Kubernetes k\u00fcmenize kurmak i\u00e7in, a\u015fa\u011f\u0131daki ad\u0131mlar\u0131 izleyebilirsiniz:<\/p>\n
1. **CA’y\u0131 y\u00fckleyin:** CA, Kubernetes toplulu\u011fu taraf\u0131ndan sa\u011flanan bir ektir. CA’y\u0131 Kubernetes k\u00fcmenize y\u00fcklemek i\u00e7in, `kubectl` kullanarak YAML dosyas\u0131n\u0131 uygulayabilirsiniz.<\/p>\n
2. **CA’y\u0131 yap\u0131land\u0131r\u0131n:** CA’y\u0131 yap\u0131land\u0131rmak i\u00e7in, CA’n\u0131n k\u00fcmenizde nas\u0131l \u00e7al\u0131\u015faca\u011f\u0131n\u0131 kontrol eden birka\u00e7 parametreyi belirtmeniz gerekir. Bu parametreler aras\u0131nda minimum d\u00fc\u011f\u00fcm say\u0131s\u0131, maksimum d\u00fc\u011f\u00fcm say\u0131s\u0131, \u00f6l\u00e7eklendirme h\u0131z\u0131, kullan\u0131m e\u015fi\u011fi ve bekleme s\u00fcresi bulunur.<\/p>\n
3. **CA’y\u0131 etkinle\u015ftirin:** CA’y\u0131 yap\u0131land\u0131rd\u0131ktan sonra, CA’y\u0131 k\u00fcmenizde etkinle\u015ftirmeniz gerekir. Bunu, CA’n\u0131n k\u00fcmenize uygulanmas\u0131n\u0131 sa\u011flamak i\u00e7in `kubectl` kullanarak yapabilirsiniz.<\/p>\n
## \u00d6rnek Uygulama<\/p>\n
CA’y\u0131 nas\u0131l yap\u0131land\u0131raca\u011f\u0131n\u0131z hakk\u0131nda bir \u00f6rnek a\u015fa\u011f\u0131dad\u0131r. Bu \u00f6rnekte, Kubernetes k\u00fcmenizde \u00e7al\u0131\u015ft\u0131rmak i\u00e7in `ca-config.yaml` adl\u0131 bir dosya olu\u015fturaca\u011f\u0131z.<\/p>\n
“`yaml
\napiVersion: autoscaling\/v2beta1
\nkind: ClusterAutoscaler
\nmetadata:
\n name: cluster-autoscaler
\nspec:
\n # En az d\u00fc\u011f\u00fcm say\u0131s\u0131
\n minNodes: 2
\n # En fazla d\u00fc\u011f\u00fcm say\u0131s\u0131
\n maxNodes: 10
\n # \u00d6l\u00e7eklendirme h\u0131z\u0131
\n scaleDown:
\n cooldownSeconds: 120
\n # Kullan\u0131m e\u015fi\u011fi
\n expander:
\n # Podlar i\u00e7in en d\u00fc\u015f\u00fck kullan\u0131lmayan CPU oran\u0131
\n minNodeUtilization: 0.4
\n # Bekleme s\u00fcresi
\n nodeGroupAutoDiscovery:
\n provider: “kubernetes”
\n“`<\/p>\n
Bu dosyay\u0131 olu\u015fturduktan sonra, CA’y\u0131 k\u00fcmenize uygulamak i\u00e7in `kubectl` kullanabilirsiniz:<\/p>\n
“`bash
\nkubectl apply -f ca-config.yaml
\n“`<\/p>\n
## CA’n\u0131n Faydalar\u0131<\/p>\n
CA’y\u0131 kullanman\u0131n bir dizi faydas\u0131 vard\u0131r:<\/p>\n
* **Otomatik \u00d6l\u00e7eklendirme:** CA, k\u00fcmenizdeki kaynak kullan\u0131m\u0131n\u0131 izleyerek ve gereksinimlerinizi kar\u015f\u0131lamak i\u00e7in d\u00fc\u011f\u00fcm say\u0131s\u0131n\u0131 otomatik olarak ayarlayarak, zaman\u0131n\u0131z\u0131 ve \u00e7aban\u0131z\u0131 tasarruf etmenizi sa\u011flar.
\n* **Kaynak Optimizasyonu:** CA, yaln\u0131zca ihtiyac\u0131n\u0131z olan kadar kaynak kullanarak, maliyetlerinizi d\u00fc\u015f\u00fcrmenize yard\u0131mc\u0131 olur.
\n* **Y\u00fcksek Kullan\u0131labilirlik:** CA, k\u00fcmenizde yeterli d\u00fc\u011f\u00fcm bulunmas\u0131n\u0131 sa\u011flayarak, uygulamalar\u0131n\u0131z\u0131n y\u00fcksek kullan\u0131labilirli\u011fini sa\u011flar.<\/p>\n
## \u00d6zet<\/p>\n
Kubernetes Cluster Autoscaler, Kubernetes k\u00fcmelerinizi otomatik olarak \u00f6l\u00e7ekleyen de\u011ferli bir ara\u00e7t\u0131r. CA, zaman\u0131n\u0131z\u0131 ve \u00e7aban\u0131z\u0131 tasarruf etmenize, maliyetlerinizi d\u00fc\u015f\u00fcrmenize ve uygulamalar\u0131n\u0131z\u0131n y\u00fcksek kullan\u0131labilirli\u011fini sa\u011flaman\u0131za yard\u0131mc\u0131 olur.<\/p>\n
## Ek Kaynaklar<\/p>\n
* [Kubernetes Cluster Autoscaler Dok\u00fcmantasyonu](https:\/\/kubernetes.io\/docs\/tasks\/run-application\/horizontal-pod-autoscale\/)
\n* [Cluster Autoscaler \u00d6rnekleri](https:\/\/github.com\/kubernetes\/autoscaler\/tree\/master\/cluster-autoscaler\/examples)<\/p>\n
## #Etiketler<\/p>\n
Kubernetes, Cluster Autoscaler, Otomatik \u00d6l\u00e7eklendirme, Kaynak Optimizasyonu, Y\u00fcksek Kullan\u0131labilirlik, Konteyner Orkestrasyonu<\/p>\n","protected":false},"excerpt":{"rendered":"Kubernetes Cluster Autoscaler: Temel Kavramlar ve Kurulum Kubernetes, g\u00fcn\u00fcm\u00fcz\u00fcn en pop\u00fcler konteyner orkestrasyon platformlar\u0131ndan biridir. Kubernetes, uygulamalar\u0131n\u0131z\u0131n \u00f6l\u00e7eklenebilirli\u011fi,…","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":[1],"tags":[],"class_list":{"0":"post-2912","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"\n