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| Location | Delivered By | Delivery Mode | Language | Date | Action | |
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| 0 | GKT | ILO | English | 18-Mar-2024 | INR 75000.00 | Enroll |
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| 0 | GKT | ILO | English | 8-Apr-2024 | INR 75000.00 | Enroll |
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Tell us a little about yourself:
This course will teach you how to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic. You'll also learn how to continuously deploy new code in a Kubernetes cluster to provide application updates.
• Discuss the differences among Google Cloud compute platforms
• Discuss the components and architecture of Kubernetes
• Store container images in Container Registry
• Explain how pod networking works in Google Kubernetes Engine.
• Create and manage Google Kubernetes Engine clusters using
the Google Cloud console and gcloud/kubectl commands.
• Basic proficiency with command-line tools and Linux operating system
environments, as well as Web server technologies such as Nginx
• Systems Operations experience including deploying and managing applications,
either on-premises or in a public cloud environment.
Module 01 Introduction to Google Cloud
• Cloud computing and Google Cloud
• Resource management
• Billing
• Interacting with Google Cloud
• Computing options
• Identify Google Cloud services and their function
• Choose the right Google Cloud services to create your own Cloud solution
• Create VMs, service accounts, and buckets using the Google Cloud console
and Cloud Shell
• 1 lab
• 1 quiz
Module 02 Introduction to Containers and Kubernetes
• Introduction to containers
• Containers and container images
• Introduction to Kubernetes
• Introduction to Google Kubernetes Engine
• Compute options in detail
• Create a container using Cloud Build
• Store a container in Container Registry
• Identify the purpose of and use cases for Kubernetes and Google Kubernetes
Engine
• Define the concept of a container and identify uses for containers
• 1 lab
• 1 quiz
Module 03 Kubernetes Architecture
• Kubernetes concepts
• The Kubernetes control plane
• Google Kubernetes Engine concepts
• Kubernetes object management
• Migrate for Anthos
• Conceptualize the Kubernetes architecture
• Deploy a Kubernetes Cluster using GKE
• Deploy pods to a GKE Cluster
• Identify how to view and manage Kubernetes objects
• 1 lab
• 1 quiz
Module 04 Introduction to Kubernetes Workloads
• The kubectl command
• Deployments
• Pod networking
• Volumes
• Explain the Kubectl command.
• Describe how Deployments are used in Kubernetes
• Explain Kubernetes storage abstractions