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Google Container Engine and Kubernetes online training

Google Container Engine and Kubernetes


Google Container Engine is a powerful cluster manager and orchestration system for running your Docker containers. Container Engine schedules your containers into the cluster and manages them automatically based on requirements you define (such as CPU and memory).

Kubernetes is an open source container cluster manager by Google. It aims to provide a "platform for automating deployment, scaling, and operations of application containers across clusters of hosts".


  • Basic proficiency with command-line tools
  • Familiarity with Docker and container technology
  • Familiarity with one or more programming languages such as Java, Python, or JavaScript
  • Basic understanding of computer networking


  • It is a 08 days program and extends up to 2hrs each.
  • The format is 40% theory, 60% Hands-on.

  • It is a 2 days program and extends up to 8hrs each.
  • The format is 40% theory, 60% Hands-on.
    Private Classroom arranged on request and minimum attendies for batch is 4.

course content

  • Introducing Container Management from Google
    • Introduction to Containers and Container Management
    • Introduction to Kubernetes
    • Introduction to Container Engine
    • Container Registry
  • Container Engine Fundamentals
    • Container Engine building blocks
    • Master instance
    • Cluster nodes
  • Interacting with Container Engine
    • Cloud SDK and API
    • gcloud utility program
    • Configuration files
    • kubectl utility program
    • Google Developer Console
  • Container Clusters
    • Container Infrastructure
    • Anatomy of a Node
    • Multiple Container Clusters
  • Pods
    • Overview of Pods and Use Cases
    • Pod Lifecycle
    • Pod Configuration and specification
    • Working with Pods
  • Replication Controllers
    • Overview of Replication Controllers
    • Use patterns and practices
    • Working with Replication Controllers
  • Services
    • Overview and Architectural Role for Services
    • Service Proxy
    • Working with Services
    • Load Balancing and High Availability (HA) Design


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