Architecting with Google Kubernetes Engine

  • Tuition USD $1,900
  • Reviews star_rate star_rate star_rate star_rate star_half 1131 Ratings
  • Course Code GCP-KE
  • Duration 3 days
  • Available Formats Classroom, Virtual
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This three-day instructor-led class introduces participants to deploying and managing containerized applications on Google Kubernetes Engine (GKE) and the other services provided by Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services. This course also covers deploying practical solutions including security and access management, resource management, and resource monitoring.

Skills Gained

This course teaches participants the following skills: Understand how software containers work Understand the architecture of Kubernetes Understand the architecture of Google Cloud Understand how pod networking works in Kubernetes Engine Create and manage Kubernetes Engine clusters using the GCP Console and gcloud/ kubectl commands Launch, roll back and expose jobs in Kubernetes Manage access control using Kubernetes RBAC and Google Cloud IAM Managing pod security policies and network policies Using Secrets and ConfigMaps to isolate security credentials and configuration artifacts Understand GCP choices for managed storage services Monitor applications running in Kubernetes Engine

Who Can Benefit

This class is intended for the following participants: Cloud architects, administrators, and SysOps/DevOps personnel Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud.

Prerequisites

To get the most out of this course, participants should have: Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience Basic proficiency with command-line tools and Linux operating system environments

Course Details

Course Outline

Module 1: Introduction to Google Cloud Platform

  • Use the Google Cloud Platform Console
  • Use Cloud Shell
  • Define cloud computing
  • Identify GCPs compute services
  • Understand regions and zones
  • Understand the cloud resource hierarchy
  • Administer your GCP resources

Module 2: Containers and Kubernetes in GCP

  • Create a container using Cloud Build
  • Store a container in Container Registry
  • Understand the relationship between Kubernetes and Google Kubernetes Engine (GKE)
  • Understand how to choose among GCP compute platforms

Module 3: Kubernetes Architecture

  • Understand the architecture of Kubernetes: pods, namespaces
  • Understand the control-plane components of Kubernetes
  • Create container images using Google Cloud Build
  • Store container images in Google Container Registry
  • Create a Kubernetes Engine cluster

Module 4: Kubernetes Operations

  • Work with the kubectl command
  • Inspect the cluster and Pods
  • View a Pods console output
  • Sign in to a Pod interactively

Module 5: Deployments, Jobs, and Scaling

  • Create and use Deployments
  • Create and run Jobs and CronJobs
  • Scale clusters manually and automatically
  • Configure Node and Pod affinity
  • Get software into your cluster with Helm charts and Kubernetes Marketplace

Module 6: GKE Networking

  • Create Services to expose applications that are running within Pods
  • Use load balancers to expose Services to external clients
  • Create Ingress resources for HTTP(S) load balancing
  • Leverage container-native load balancing to improve Pod load balancing
  • Define Kubernetes network policies to allow and block traffic to pods

Module 7: Persistent Data and Storage

  • Use Secrets to isolate security credentials
  • Use ConfigMaps to isolate configuration artifacts
  • Push out and roll back updates to Secrets and ConfigMaps
  • Configure Persistent Storage Volumes for Kubernetes Pods
  • Use StatefulSets to ensure that claims on persistent storage volumes persist across restarts

Module 8: Access Control and Security in Kubernetes and Kubernetes Engine

  • Understand Kubernetes authentication and authorization
  • Define Kubernetes RBAC roles and role bindings for accessing resources in namespaces
  • Define Kubernetes RBAC cluster roles and cluster role bindings for accessing cluster-scoped resources
  • Define Kubernetes pod security policies
  • Understand the structure of GCP IAM
  • Define IAM roles and policies for Kubernetes Engine cluster administration

Module 9: Logging and Monitoring

  • Use Stackdriver to monitor and manage availability and performance
  • Locate and inspect Kubernetes logs
  • Create probes for wellness checks on live applications

Module 10: Using GCP Managed Storage Services from Kubernetes Applications

  • Understand pros and cons for using a managed storage service versus self-managed containerized storage
  • Enable applications running in GKE to access GCP storage services
  • Understand use cases for Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Bigtable, Cloud Firestore, and Bigquery from within a Kubernetes application
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When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals, and private on sites. View our group training page for more information.

I can only say Thank You for persisting - following up and getting me into this class. Well spent 20-25 hours

We covered a lot of material in three days. This was a real crash course in different AWS Infrastructure.

Our instructor Mohammad Meimandi was a great resource. He helped clarify a lot of concepts. Overall I liked the Quiklabs as they offered a great hands-on experience to drive the concepts.

Great experience with using the online training with Webcam and Zoom. It is as if I was there in the same classroom but in the comfort of my own setting.

Great facility with good selection of drinks and small snacks. Equipment also worked flawlessly.

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  • Apr 28, 2021 – Apr 30, 2021 (3 days)
    Location
    iMVP
    Language
    English
    Time
    9:00AM – 5:00PM CDT
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