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      • Kubernetes – Deployments

      Kubernetes – Deployments

      • Posted by Technical Trainer
      • Deployment is one of the most used object by DevOps engineers.
      • Most of the DevOps work is involved around making deployments and making regular changes to the application code.
      • Deployments are used for Upgrading apps/pod images, rollback, and performing these changes gracefully.
      • A Deployment controller provides declarative updates for Pods and Replica sets.
      • Deployment manages the replica sets to manage the number of pods.

      Deployment Definition File – Sample 1

      ## Deploy 3 pods of name http-frontend, of image httpd on alpine 2.4
      ---
      apiVersion: apps/v1
      
      ## Note the Kind type here
      kind: Deployment
      metadata:
        name: httpd-frontend
      spec:
        selector:
      
          ## Note: ReplicaSets will not have the "matchLabels"
          matchLabels:
            name: httpd-frontend
        template:
          metadata:
            labels:
              name: httpd-frontend
          spec:
            containers:
            - image: httpd:2.4-alpine
              name: httpd-frontend
        replicas: 3

      Deployment Definition File – Sample 2

      apiVersion: apps/v1
      kind: Deployment
      metadata:
        name: my-nginx-server
      spec:
        replicas: 3
        selector:
          matchLabels:
            app: nginx
        template:
          metadata:
            labels:
              app: nginx
          spec:
            containers:
            - name: nginx-servers
              image: nginx:latest
              resources:
                limits:
                  memory: "128Mi"
                  cpu: "500m"
              ports:
              - containerPort: 80

      Tag:certified kubernetes adminsitrator, containerization, docker, kubernetes

      • Share:
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      Technical Trainer

      Our cloud and DevOps trainers specialize in teaching professionals about cloud computing and DevOps principles and practices. They possess a deep understanding of cloud technologies such as AWS, Azure, and Google Cloud, as well as DevOps methodologies.
      They use this knowledge to train individuals and teams on how to effectively design, deploy, and maintain applications in the cloud, as well as how to implement DevOps practices in their organizations. They use a combination of lectures, hands-on exercises, and real-world examples to ensure that learners gain a thorough understanding of the material. Many are certified in one or more cloud or DevOps technologies and have years of experience working in the field.

      Previous post

      Kubernetes - ReplicaSet Explained
      January 15, 2023

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