Google Professional Cloud Developer: Deploying Google Applications to GKE

Google Cloud    |    Intermediate
  • 13 videos | 1h 23m 24s
  • Includes Assessment
  • Earns a Badge
Rating 4.7 of 66 users Rating 4.7 of 66 users (66)
Google Kubernetes Engine is one of the leading hosted container orchestration solutions. It provides a hosted environment for running containerized applications and managing workloads to your specifications, while integrating with other Google Cloud services for secure, highly available, and scalable deployments. In this course you'll explore Google Kubernetes Engine (GKE), deploy a containerized application to GKE, and control access to cluster resources using role-based access control (RBAC) and identity and access management (IAM). Next, you will practice configuring Kubernetes namespaces, identify workload profiles and specifications, and build container images using Cloud Build. You will configure Kubernetes network policy and Kubernetes services and explore how to manipulate the GKE Pod life cycle. Finally, you'll explore how Kubernetes resources and configurations are defined. This course is one of a collection that prepares learners for the Google Professional Cloud Developer exam.


  • Discover the key concepts covered in this course
    List the features of google kubernetes engine (gke)
    Deploy a containerized application in gke
    Manage access to cluster resources using kubernetes role-based access control (rbac)
    Manage access to cluster resources using identity and access management (iam)
    Configure kubernetes namespaces
    Identify the kubernetes workload specifications
  • Build container images using cloud build
    Configure networking policy in gke to control incoming traffic to pods
    Configure kubernetes discovered services in gke
    Manage pod life cycle in gke
    Outline the process of kubernetes cluster orchestration using google kubernetes engine
    Summarize the key concepts covered in this course


  • 1m 14s
  • 6m 7s
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    3.  Deploying Containerized Applications
    9m 31s
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    4.  Managing Cluster Access with RBAC
    7m 39s
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    5.  Managing Cluster Access with IAM
    8m 25s
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    6.  Configuring Kubernetes Namespaces
    8m 16s
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    7.  Workload Specifications
    9m 8s
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    8.  Building Container Images
    7m 13s
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    9.  Configuring Network Policies
    6m 41s
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    10.  Configuring Kubernetes Services
    5m 52s
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    11.  Managing Pod Life Cycle
    7m 40s
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    12.  Cluster Orchestration with Kubernetes Engine
    4m 31s
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    13.  Course Summary
    1m 8s


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