Name: Definitive Kubernetes for engineers
Price: 1727 GBP
Availability: InStock

Redhill

<h3><b>Kubernetes for engineers training course description</b></h3>
      <p> This course covers how Kubernetes addresses the
challenges of distributed systems. Hands on sessions
follow all the major theory chapters.</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
	<li>Explain what Kubernetes is and how it works.</li>
																					<li>Create and run containers on Kubernetes using the
Docker image format and container runtime.</li>
                  </ul>
        <h5>
        <b>Kubernetes for engineers training course details</b> </h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
              <p>Anyone working with Docker or Kubernetes.</p>
              
							<li><b>Prerequisites:</b></li>
							
							<p>Definitive Docker for engineers.</p>
              
							<li><b>Duration</b></li>
							
              <p>2 days
						</p>
              
							
              
              
						</ul>
					</div>
				</div>
      <h3><b>Kubernetes for engineers training course contents</b></h3>
      <ul>
				<li>Introduction </li><p>
Velocity, Scaling your service and your teams, Abstracting your infrastructure.

</p><li>Creating and running containers </li><p>
Container images, Building application images with Docker, Storing images in a remote registry, The Docker container runtime.

</p><li>Deploying a Kubernetes cluster </li><p>
Installing Kubernetes on a public cloud provider, Installing Kubernetes locally using minikube, Running Kubernetes on Raspberry Pi, The Kubernetes client, Cluster components.

</p><li>Common kubectl Commands </li><p>
Namespaces, Contexts, Viewing Kubernetes API objects, Creating, Updating, and Destroying Kubernetes objects, Labelling and annotating objects, Debugging commands.

</p><li>Pods </li><p>
Pods in Kubernetes, Thinking with pods, The pod manifest, Running pods, Accessing your pod, Health checks, Resource management, Persisting data with volumes, Putting It all together.

</p><li>Labels and Annotations </li><p>
Labels, Annotations.

</p><li>Service Discovery </li><p>
What Is Service discovery? The service object, Looking beyond the cluster, Cloud integration, Advanced details.

</p><li>ReplicaSets </li><p>
Reconciliation loops, Relating pods and ReplicaSets, Designing with ReplicaSets, ReplicaSet Spec, Creating a ReplicaSet, Inspecting a ReplicaSet, Scaling ReplicaSets, Deleting ReplicaSets.

</p><li>DaemonSets </li><p>
DaemonSet scheduler, Creating DaemonSets, Limiting DaemonSets to specific nodes, Updating a DaemonSet, Deleting a DaemonSet.

</p><li>Jobs </li><p>
The job object, Job patterns.

</p><li>ConfigMaps and secrets </li><p>
ConfigMaps, Secrets, Naming constraints, Managing ConfigMaps and secrets.

</p><li>Deployments </li><p>
Your first deployment, Creating deployments, Managing deployments, Updating deployments, Deployment strategies, Deleting a deployment.

</p><li>Integrating storage solutions and Kubernetes </li><p>
Importing external services, Running reliable singletons, Kubernetes-native storage with StatefulSets.

</p><li>Deploying real-world applications </li><p>
Parse, Ghost, Redis.
</p>
      </ul>

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