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Kubernetes
Kubernetes
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Chapter 1: Creating a Cluster with kubeadm- Provisioning Compute Resources- Install Docker on the hosts- Install kubeadm, kubelet, and kubectl on the hosts- Initialize the control plane node- Join the workersChapter 2: Control Plane Components- Explore the Control Plane servicesChapter 3: Accessing the Cluster- Install kubectl on your dev machine- Access the cluster from the dev machineChapter 4: Kubernetes Resources- Namespaces- Labels and selectors- AnnotationsChapter 5: The Workloads- Pod sp…
  • Leidėjas:
  • ISBN-10: 1484264932
  • ISBN-13: 9781484264935
  • Formatas: 15.6 x 23.4 x 1.4 cm, minkšti viršeliai
  • Kalba: Anglų

Kubernetes (el. knyga) (skaityta knyga) | Philippe Martin | knygos.lt

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Chapter 1: Creating a Cluster with kubeadm- Provisioning Compute Resources- Install Docker on the hosts- Install kubeadm, kubelet, and kubectl on the hosts- Initialize the control plane node- Join the workers
Chapter 2: Control Plane Components- Explore the Control Plane services
Chapter 3: Accessing the Cluster- Install kubectl on your dev machine- Access the cluster from the dev machine
Chapter 4: Kubernetes Resources- Namespaces- Labels and selectors- Annotations
Chapter 5: The Workloads- Pod specs- Container specs- Pod controllers- ReplicaSet controller- Deployment controller- Update and rollback- Deployment strategies
Chapter 6: Configuring Applications- Arguments to the command- Environment variables- Configuration file from ConfigMap- Configuration file from Secret- Configuration file from Pod fields- Configuration file from container resources fields- Configuration file from different sources
Chapter 7: Scaling an Application- Manual scaling- Auto-scaling
Chapter 8: Application Self-Healing- Controller to the rescue- Liveness probes- Resource limits and quality of service classes
Chapter 9: Scheduling Pods- Using label selectors to schedule pods on specific nodes- DaemonSets- Static pods- Resource requests- Running multiple schedulers
Chapter 10: Discovery and Load Balancing- Services- Services types- Ingress
Chapter 11: Security- Authentication- Authorization- Security contexts- Network policies- Working with private Docker registries
Chapter 12: Storage- Persistent volumes- Claiming a persistent volume- Using auto-provisioned persistent volumes
Chapter 13: Monitoring and Logging- Basic logging
Chapter 14: Upgrading the Cluster- Upgrade the controller- Upgrade the workers- Upgrading the operating system- Backup a cluster- Restore a cluster
Chapter 15: kubectl- Managing kubeconfig file- Generic commands- Creating applications resources- Managing clusters- Getting documentation
A. Curriculum CKA
B. Curriculum CKAD

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  • Autorius: Philippe Martin
  • Leidėjas:
  • ISBN-10: 1484264932
  • ISBN-13: 9781484264935
  • Formatas: 15.6 x 23.4 x 1.4 cm, minkšti viršeliai
  • Kalba: Anglų

Chapter 1: Creating a Cluster with kubeadm- Provisioning Compute Resources- Install Docker on the hosts- Install kubeadm, kubelet, and kubectl on the hosts- Initialize the control plane node- Join the workers
Chapter 2: Control Plane Components- Explore the Control Plane services
Chapter 3: Accessing the Cluster- Install kubectl on your dev machine- Access the cluster from the dev machine
Chapter 4: Kubernetes Resources- Namespaces- Labels and selectors- Annotations
Chapter 5: The Workloads- Pod specs- Container specs- Pod controllers- ReplicaSet controller- Deployment controller- Update and rollback- Deployment strategies
Chapter 6: Configuring Applications- Arguments to the command- Environment variables- Configuration file from ConfigMap- Configuration file from Secret- Configuration file from Pod fields- Configuration file from container resources fields- Configuration file from different sources
Chapter 7: Scaling an Application- Manual scaling- Auto-scaling
Chapter 8: Application Self-Healing- Controller to the rescue- Liveness probes- Resource limits and quality of service classes
Chapter 9: Scheduling Pods- Using label selectors to schedule pods on specific nodes- DaemonSets- Static pods- Resource requests- Running multiple schedulers
Chapter 10: Discovery and Load Balancing- Services- Services types- Ingress
Chapter 11: Security- Authentication- Authorization- Security contexts- Network policies- Working with private Docker registries
Chapter 12: Storage- Persistent volumes- Claiming a persistent volume- Using auto-provisioned persistent volumes
Chapter 13: Monitoring and Logging- Basic logging
Chapter 14: Upgrading the Cluster- Upgrade the controller- Upgrade the workers- Upgrading the operating system- Backup a cluster- Restore a cluster
Chapter 15: kubectl- Managing kubeconfig file- Generic commands- Creating applications resources- Managing clusters- Getting documentation
A. Curriculum CKA
B. Curriculum CKAD

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