This document provides an overview of a course on Kubernetes on GKE (Google Kubernetes Engine). It introduces the instructor Ernesto Garbarino and lists relevant course resources. The content will cover getting started with GKE, creating high availability and discovering services, managing configurations and jobs, and various controller types. It is divided into 5 sections, each containing summaries of the topics and concepts that will be discussed.

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Kubernetes on GKE
An Introduction to Kubernetes on GKE
Ernesto Garbarino
Course Instructor

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About Your Instructor
● Enterprise Architect Fellow at Mphasis, a
Blackstone company.
● Author of Beginning Kubernetes on the
Google Cloud Platform.
● Blogger (https://garba.org) on machine
learning, architecture, productivity, and
software engineering.
Ernesto
Garbarino

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Course Resources
Course-specific Code and Examples
https://github.com/egarbarino/safari_gke
Book
Beginning Kubernetes on the Google Cloud Platform:
A Guide to Automating Application Deployment,
Scaling, and Management by Ernesto Garbarino
https://learning.oreilly.com/library/view/beginning-
kubernetes-on/9781484254912/

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Container
Worker Node 1 Worker Node 2 Worker Node n
Service
Load Balancer
ConfigMap
/
Secret
P P P
P
ReplicaSet
P
P
P
P
P P P
P
Deployment
StatefulSet
HPA
Job
CronJob
DaemonSet
Pod
Image
C C
Ports
Mounts
K8S
Master
Storage (Google Disks)
kubectl gcloud
~/.kube/config
Docker
Hub
create/delete
Course Summary

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Container
Worker Node 1 Worker Node 2 Worker Node n
Service
Load Balancer
ConfigMap
/
Secret
P P P
P
ReplicaSet
P
P
P
P
P P P
P
Deployment
StatefulSet
HPA
Job
CronJob
DaemonSet
Pod
Image
C C
Ports
Mounts
K8S
Master
Storage (Google Disks)
kubectl gcloud
~/.kube/config
Docker
Hub
create/delete
Course Summary
S1

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Container
Worker Node 1 Worker Node 2 Worker Node n
Service
Load Balancer
ConfigMap
/
Secret
P P P
P
ReplicaSet
P
P
P
P
P P P
P
Deployment
StatefulSet
HPA
Job
CronJob
DaemonSet
Pod
Image
C C
Ports
Mounts
K8S
Master
Storage (Google Disks)
kubectl gcloud
~/.kube/config
Docker
Hub
create/delete
Course Summary
S1 S2

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Container
Worker Node 1 Worker Node 2 Worker Node n
Service
Load Balancer
ConfigMap
/
Secret
P P P
P
ReplicaSet
P
P
P
P
P P P
P
Deployment
StatefulSet
HPA
Job
CronJob
DaemonSet
Pod
Image
C C
Ports
Mounts
K8S
Master
Storage (Google Disks)
kubectl gcloud
~/.kube/config
Docker
Hub
create/delete
Course Summary
S1 S2 S3

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Container
Worker Node 1 Worker Node 2 Worker Node n
Service
Load Balancer
ConfigMap
/
Secret
P P P
P
ReplicaSet
P
P
P
P
P P P
P
Deployment
StatefulSet
HPA
Job
CronJob
DaemonSet
Pod
Image
C C
Ports
Mounts
K8S
Master
Storage (Google Disks)
kubectl gcloud
~/.kube/config
Docker
Hub
create/delete
Course Summary
S1 S2 S3 S4

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Container
Worker Node 1 Worker Node 2 Worker Node n
Service
Load Balancer
ConfigMap
/
Secret
P P P
P
ReplicaSet
P
P
P
P
P P P
P
Deployment
StatefulSet
HPA
Job
CronJob
DaemonSet
Pod
Image
C C
Ports
Mounts
K8S
Master
Storage (Google Disks)
kubectl gcloud
~/.kube/config
Docker
Hub
create/delete
Course Summary
S1 S2 S3 S4 S5 - Q&A

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S1.0 POLL
What is your experience with the Google Cloud Platform?
1. None
2. I have just created an account
3. I have an account and have entered my credit card
4. I have run a few experiments
5. I use it in production

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Getting Started with GKE (50m)
1

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S1.1 Setting up The Google Cloud Shell and GKE

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Worker Node 1 Worker Node 2 Worker Node n
K8S
Master
kubectl gcloud
~/.kube/config
create/delete
S1.2 Creating and Destroying Kubernetes Clusters

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Container
Worker Node 1 Worker Node 2 Worker Node n
P
Pod
Image
C C
Ports
K8S
Master
kubectl gcloud
~/.kube/config
Docker
Hub
create/delete
S1.3 Launching Docker Containers using Pods
Labels
one-off
steady
web server

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Container
Worker Node 1 Worker Node 2 Worker Node n
P
Pod
Image
C C
Ports
Mounts
K8S
Master
kubectl gcloud
~/.kube/config
Docker
Hub
create/delete
S1.4 Managing The Pod’s Life Cycle
Storage (Google Disks)
Pod Life Cycle
Pending Running Succeeded Failed
Pending Init Pod.
Initializing
Running Terminatin
g
Init.
Container
Container Life Cycle
Mount
Storage
Startup
Command
PostStart
Hook
PreStop
Hook
https://garba.org/article/blog/2018/k8s_pod_lc.pdf

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S1.5 Implementing Self-Healing Mechanisms
https://garba.org/posts/2020/k8s-life-cycle/
Container
Worker Node 1 Worker Node 2 Worker Node n
P
Pod
Image
C C
Ports
K8S
Master
kubectl gcloud
~/.kube/config
Docker
Hub
create/delete
Labels
Storage (Google Disks)
periodSeconds
Probe
Started
initialDelaySeconds
Container Created
Run Probe Check
(e.g. command/http/tcp)
Liveness Probe
Readiness Probe
is the container alive?
is it ready to service requests?

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Timer Animation
10m

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S2.0 POLL
How would you describe a ‘Pod’ to your best friend?
1. It is some kind of music player
2. It is like a virtual machine
3. It is the mechanism by which Kubernetes controls the life
cycle of containers, and establishes additional
dependencies such as storage
4. It is just the way Kubernetes refers to containers
5. Don’t ask me about it. It is the worst thing about
Kubernetes; it cannot launch containers straight from
Docker Hub without having to wrap them in Pods first!

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High Availability and Service Discovery (45m)
2

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Container
Worker Node 1 Worker Node 2 Worker Node n
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ReplicaSet
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Pod
Image
C C
Ports
Mounts
K8S
Master
kubectl gcloud
~/.kube/config
Docker
Hub
create/delete
S2.1 Defining and Launching Deployments
1. Creating Deployments
2. Setting # of Replicas
3. Updating Docker Image
4. Using Manifests
Deployment
Storage (Google Disks)

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Container
Worker Node 1 Worker Node 2 Worker Node n
P
ReplicaSet
P
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Pod
Image
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Mounts
K8S
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kubectl gcloud
~/.kube/config
Docker
Hub
create/delete
1. Recreate
2. Rolling
○ One at a Time
○ Blue/Green
S2.2 Performing Rolling and Blue/Green Deployments
Deployment
Storage (Google Disks)

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Container
Worker Node 1 Worker Node 2 Worker Node n
P
ReplicaSet
P
P
P
P
P P P
P
Pod
Image
C C
Ports
Mounts
K8S
Master
kubectl gcloud
~/.kube/config
Docker
Hub
create/delete
Static vs Auto-Scaling
Using The Horizontal Pod Scaler (HPA)
S2.3 Instrumenting Static Scaling and Autoscaling
Deployment
HPA
Storage (Google Disks)

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Container
Worker Node 1 Worker Node 2 Worker Node n
P
ReplicaSet
P
P
P
P
P P P
P
Pod
Image
C C
Ports
Mounts
K8S
Master
kubectl gcloud
~/.kube/config
Docker
Hub
create/delete
S2.4 Pod-to-Pod Service Access
Service
1. Pod-to-Pod (Demo)
2. Internet-to-Pod
Deployment
HPA
Storage (Google Disks)

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S2.5 Publishing Services on the Public Internet
Container
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ReplicaSet
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Pod
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kubectl gcloud
~/.kube/config
Docker
Hub
create/delete
Service
Load Balancer
1. Pod-to-Pod
2. Internet-to-Pod (Demo)
Deployment
HPA
Storage (Google Disks)

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S2.6 Performing Zero Downtime Deployments
Container
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ReplicaSet
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Pod
Image
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Mounts
K8S
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kubectl gcloud
~/.kube/config
Docker
Hub
create/delete
Service
Canary
Zero Downtime Deployments
Load Balancer
Deployment
HPA
Storage (Google Disks)

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Timer Animation
5m

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S3.0 POLL
How do the Deployment controller and the Service controller
typically collaborate?
1. The Deployment controller manages the scaling and
release of new Pod versions, whereas the Service
controller manages the exposure of the relevant Pods to a
load balancer.
2. The Service controller controls the Deployment controller
so that it can perform releases according to the load
balancer’s needs.

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Configuration and Jobs (45m)
3

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S3.1 Externalizing Configuration using ConfigMap
Container
Worker Node 1 Worker Node 2 Worker Node n
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ReplicaSet
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P P P
P
Pod
Image
C C
Ports
Mounts
K8S
Master
kubectl gcloud
~/.kube/config
Docker
Hub
create/delete
Service
Load Balancer
ConfigMap
Deployment
HPA
Storage (Google Disks)

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S3.2 Protecting Credentials using Secrets
Container
Worker Node 1 Worker Node 2 Worker Node n
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ReplicaSet
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Pod
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Mounts
K8S
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kubectl gcloud
~/.kube/config
Docker
Hub
create/delete
Service
Load Balancer
ConfigMap
/
Secret
Deployment
HPA
Storage (Google Disks)

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S3.3 Implementing Batch Processes using Jobs
Container
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ReplicaSet
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Pod
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Mounts
K8S
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kubectl gcloud
~/.kube/config
Docker
Hub
create/delete
Service
Load Balancer
ConfigMap
/
Secrets
Job
1. Single Batch Process
2. Completion Count-Based Batch Process
3. Externally Coordinated Batch Process
Deployment
HPA
Storage (Google Disks)

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S3.4 Scheduling Recurring Tasks Using CronJobs
Container
Worker Node 1 Worker Node 2 Worker Node n
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ReplicaSet
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P
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P P P
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Pod
Image
C C
Ports
Mounts
K8S
Master
kubectl gcloud
~/.kube/config
Docker
Hub
create/delete
Service
Load Balancer
ConfigMap
/
Secret
Job
CronJob
Deployment
HPA
Storage (Google Disks)

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Timer Animation
10m

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S4.0 POLL
What is the difference between the CronJob controller and the
Job controller?
1. The Job controller is the one that actually encapsulates the
intended workload, whereas the CronJob controller is just
a scheduling mechanism for Jobs.
2. They are two unrelated controllers. Jobs are for one-off
workloads whereas CronJobs are for recurrent ones.

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Further Controller Types (45m)
4

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S4.1 Running Server-Wide Services using DaemonSets
Container
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ReplicaSet
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P P P
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Pod
Image
C C
Ports
Mounts
K8S
Master
kubectl gcloud
~/.kube/config
Docker
Hub
create/delete
Service
Load Balancer
ConfigMap
/
Secret
Job
CronJob
P P P
DaemonSet
Deployment
HPA
Storage (Google Disks)

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S4.2 Instrument Stateful Applications using StatefulSets
Container
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ReplicaSet
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P P P
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Pod
Image
C C
Ports
Mounts
K8S
Master
kubectl gcloud
~/.kube/config
Docker
Hub
create/delete
Service
Load Balancer
ConfigMap
/
Secret
Job
CronJob
P P P
DaemonSet
Deployment
HPA
Storage (Google Disks)
StatefulSet

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Timer Animation
10m

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S5.0 POLL
Which statement is correct? (Select only one)
1. Both Deployments and StatefulSets create randomly-named Pods.
2. If a StatefulSet’s Pod crashes, the controller will use the next available sequence
number to restart it.
3. StatefulSet’s Pods are best accessed through a Load Balancer.
4. StatefulSet’s Pod are created and destroyed in sequential, and reverse
sequential order, respectively.
5. Databases implemented using StatefulSets can be easily scaled using the ‘kubectl
scale’ command.

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Wrap Up and Q&A (20m)
5

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Container
Worker Node 1 Worker Node 2 Worker Node n
Service
Load Balancer
ConfigMap
/
Secret
P P P
P
ReplicaSet
P
P
P
P
P P P
P
Deployment
StatefulSet
HPA
Job
CronJob
DaemonSet
Pod
Image
C C
Ports
Mounts
K8S
Master
Storage (Google Disks)
kubectl gcloud
~/.kube/config
Docker
Hub
create/delete
S5.1 What We’ve Learned

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S5.2 Topics for Further Exploration
Pods
● Multiple containers (p. 45)
● Namespaces (p. 79)
● Labels (p. 83)
● Annotations (p. 88)
Service Discovery
● GKE Node-wise autoscaling (p. 126)
● DNS and namespaces (p. 139)
ConfigMap and Secrets
● Large Files and Binary Data (p. 167,177)
● Docker Registry Credentials (p. 185)
Jobs
● Timing out Stuck Jobs (p. 213)
CronJobs
● Missed Scheduled Events (p. 235)
StatefulSets
● Scaling Up and Down (p. 295-307)
Cluster Architecture, Installation, And
Configuration (Chp. 2)
● Role-Based Access Control
Services and Networking (Chp. 5)
● Understanding Ingress
Storage (Chp. 6)
● Understanding Volumes
● Understanding Persistent Volumes
● Understanding Storage Classes

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S5.3 Questions and Answers
Course-specific Code and Examples + FAQ
https://github.com/egarbarino/safari_gke