У нас вы можете посмотреть бесплатно kubernetes tutorial | Scheduling Pods to Nodes | Node Affinity | Demo или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
Certified Kubernetes Administrator ------------------------------------------------------------ kubernetes tutorial | Scheduling Pods to Nodes | Node Affinity | Demo Description ---------------------- In this video, you are going to learn the concepts of Scheduling pods to nodes using Node Affinity and we are also going to see a demo on the same as well. Kubernetes - Scheduling Pods to Nodes using NodeAffinity --------------------------------------------------------------------------------------------------- 1. Scheduling Pods to Nodes using “Node Affinity” 2. Scheduling Pods to Nodes Using Labels 3. Recap - NodeSelector 4. Node Affinity 5. Types of Node Affinity 6. Use Cases 7. DEMO: Scheduling Pods to Nodes using “Node Affinity” 8. Thank you For suggestions/feedback/doubts contact email: [email protected] Happy Learning !!! ======================================================================================== USEFUL LINKS ---------------------------- Assigning Pods to Nodes https://kubernetes.io/docs/concepts/s... Assigning Pods to Nodes using Node Affinity https://kubernetes.io/docs/concepts/s... API References https://kubernetes.io/docs/reference/... Kubectl Command Reference https://kubernetes.io/docs/reference/... ========================================================================================== #vsparkz #kubernetes #k8s #containers DEMO STEPS ------------------------- Step 1: Access & Inspect the Kubernetes Cluster $ kubectl cluster-info $ kubectl get nodes $ kubectl get pods -n kube-system Step 2: Add custom labels to the Nodes $ kubectl label nodes worker01.vsparkz.com webserver=nginx workertype=python size=small $ kubectl label nodes worker02.vsparkz.com webserver=apache workertype=python size=large Step 3: Create & Schedule a Pod using “Required” Affinity Type $ kubectl run nginx --image=nginx --dry-run=client -o yaml Copy the output content and create a file - schedule_using_required.yaml $ vi schedule_using_required.yaml _______________________________________________________ apiVersion: v1 kind: Pod metadata: name: nginx spec: containers: image: nginx name: nginx affinity: nodeAffinity: requiredDuringSchedulingIgnoredDuringExecution: nodeSelectorTerms: matchExpressions: key: webserver operator: In values: nginx _______________________________________________________ $ kubectl apply -f schedule_using_required.yaml $ kubectl get pods -o wide Step 4: Create & Schedule a Pod using “Preferred” Affinity Type $ vi schedule_using_preferred.yaml _______________________________________________________ apiVersion: v1 kind: Pod metadata: name: nginx spec: containers: image: nginx name: nginx affinity: nodeAffinity: preferredDuringSchedulingIgnoredDuringExecution: weight: 10 preference: matchExpressions: key: size operator: In values: large _______________________________________________________ $ kubectl apply -f schedule_using_preferred.yaml Step 5: Create & Schedule a Pod using both “required” & “preferred” Affinity Type $ vi schedule_using_both.yaml _______________________________________________________ apiVersion: v1 kind: Pod metadata: name: nginx spec: containers: image: nginx name: nginx affinity: nodeAffinity: requiredDuringSchedulingIgnoredDuringExecution: nodeSelectorTerms: matchExpressions: key: workertype operator: In values: python preferredDuringSchedulingIgnoredDuringExecution: weight: 20 preference: matchExpressions: key: size operator: In values: large _______________________________________________________ $ kubectl apply -f schedule_using_both.yaml $ kubectl get pods -o wide ========================================================================================================================