Managed Kubernetes GKE Fundamentals using GCP

Course description:

This course is intended for system administrators and application developers who are interested in deploying and orchestrating container applications at scale and have a basic understanding of containers, mainly docker, and want to understand the basic concepts of Kubernetes, it is internal processes and how to deploy everything in Google Cloud Platform environment.

You’ll learn container management and orchestration for Kubernetes using Google GKE. You’ll build an Google GKE cluster, configure the environment, deploy the cluster, add applications to your cluster and much more. You will also learn how to scale your environment securely and review how to optimize or balance cost, efficiency, and resiliency through monitoring and observability.

Target audience:​

• DevOps engineers
• Linux system administrators
• Systems design engineers
• Architects
• Anyone who will provide container orchestration management in the GCP Cloud

Prerequisites for Managed Kubernetes GKE Fundamentals using GCP:

• Students should first have a strong understanding of container technologies
• Basic familiarity with GCP

Recommended:

• Familiarity with the Linux command line
• Familiarity with JSON and/or YAML syntax

Module 1: Introduction to Google Cloud
– GCP overview

Module 2: Introduction to Containers and Kubernetes
– Container overview

Module 3: Kubernetes Architecture / GKE architecture
– GKE overview
– Autopilot overview
– GKE dashboards

Module 4: Introduction to Kubernetes Workloads
– Pod
– Deployments
– StatefulSet
– DaemonSet
– ConfigMap

Module 5: GKE Networking
– Network overview
– Services
– Dataplane V2
– IP masquerade agent
– Service discovery and DNS
– Multi-cluster Services

Module 6: GKE Storage
– Storage overview
– Volumes
– Persistent volumes and dynamic provisioning

Module 7: GKE security
– Security overview
– GKE shared responsibility
– Access control
– Cluster trust
– GKE Sandbox
– Secrets
– Audit policy
– Control plane security
– CIS Benchmarks
– Workload Identity

Module 8: GKE logging and monitoring
– Overview of Google Cloud’s operations suite for GKE

Module 9: GKE scalability
– Add-on autoscaling
– Application Delivery
– Custom and external metrics for autoscaling workloads

Note:​​

Every student has assigned to him his own virtual lab environment setup.

Additional details:

To attend this course, you need to have:
• PC/Laptop with internet access
• Updated web browser

Managed Kubernetes GKE Fundamentals using GCP

€ 840
  • DURATION: 2 days
  • SKILL LEVEL: Associate
  • LECTURES: 9 lessons

Register
  • PRICE: 840 €
  • DURATION: 2 days
  • SKILL LEVEL: Associate
  • LECTURES: 9 lessons

Course description:

This course is intended for system administrators and application developers who are interested in deploying and orchestrating container applications at scale and have a basic understanding of containers, mainly docker, and want to understand the basic concepts of Kubernetes, it is internal processes and how to deploy everything in Google Cloud Platform environment.

You’ll learn container management and orchestration for Kubernetes using Google GKE. You’ll build an Google GKE cluster, configure the environment, deploy the cluster, add applications to your cluster and much more. You will also learn how to scale your environment securely and review how to optimize or balance cost, efficiency, and resiliency through monitoring and observability.

Target audience:​

• DevOps engineers
• Linux system administrators
• Systems design engineers
• Architects
• Anyone who will provide container orchestration management in the GCP Cloud

Prerequisites for Managed Kubernetes GKE Fundamentals using GCP:

• Students should first have a strong understanding of container technologies
• Basic familiarity with GCP

Recommended:

• Familiarity with the Linux command line
• Familiarity with JSON and/or YAML syntax

Module 1: Introduction to Google Cloud
– GCP overview

Module 2: Introduction to Containers and Kubernetes
– Container overview

Module 3: Kubernetes Architecture / GKE architecture
– GKE overview
– Autopilot overview
– GKE dashboards

Module 4: Introduction to Kubernetes Workloads
– Pod
– Deployments
– StatefulSet
– DaemonSet
– ConfigMap

Module 5: GKE Networking
– Network overview
– Services
– Dataplane V2
– IP masquerade agent
– Service discovery and DNS
– Multi-cluster Services

Module 6: GKE Storage
– Storage overview
– Volumes
– Persistent volumes and dynamic provisioning

Module 7: GKE security
– Security overview
– GKE shared responsibility
– Access control
– Cluster trust
– GKE Sandbox
– Secrets
– Audit policy
– Control plane security
– CIS Benchmarks
– Workload Identity

Module 8: GKE logging and monitoring
– Overview of Google Cloud’s operations suite for GKE

Module 9: GKE scalability
– Add-on autoscaling
– Application Delivery
– Custom and external metrics for autoscaling workloads

Note:​​

Every student has assigned to him his own virtual lab environment setup.

Additional details:

To attend this course, you need to have:
• PC/Laptop with internet access
• Updated web browser

Register

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