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GCP GKE Google Kubernetes Engine DevOps — 75 Real-World Demos

Master GKE with 75 real-world demos covering Kubernetes fundamentals, GKE Autopilot, Ingress with Google Cloud Load Balancers, Gateway API, Cloud SQL, Cloud DNS, Artifact Registry, Cloud Build CI/CD, Horizontal & Vertical Pod Autoscaling, and Cluster Autoscaler.

4.5
(781 ratings)
8,779 students
Created by Kalyan Reddy Daida Last updated May 2025 English
Enroll Now — $15.99 $84.99 Preview on Udemy
26h
Video Content
200
Lectures
69
Sections
75
Hands-on Demos
$15.99 $84.99
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What You'll Learn

Build and manage GKE Standard and Autopilot clusters from scratch
Master Kubernetes fundamentals — Pods, ReplicaSets, Deployments, Services using kubectl
Write Kubernetes YAML manifests with confidence for Deployments, Services, and Jobs
Implement GKE Ingress with Google Cloud HTTP(S) Load Balancers and context-path routing
Deploy Gateway API resources with multi-cluster and advanced routing
Integrate GKE with Cloud SQL for production database workloads
Configure Cloud DNS and External DNS for automatic DNS record management
Build CI/CD pipelines with Cloud Build and Artifact Registry for container deployments
Implement Kubernetes storage with GCE Persistent Disks, StorageClass, PV, and PVC
Enable GKE Autoscaling — Horizontal Pod Autoscaler, Vertical Pod Autoscaler, and Cluster Autoscaler
Master Docker fundamentals — build images, push to Artifact Registry, multi-stage builds
Deploy workloads with ConfigMaps, Secrets, Init Containers, and Probes
Implement Kubernetes RBAC, Network Policies, and Namespace isolation
Master Kubernetes DaemonSets, Jobs, CronJobs, and advanced scheduling
Configure GKE node pools, taints, tolerations, and node affinity
Implement GKE Workload Identity for secure service account access
Deploy Ingress with SSL certificates and domain-based routing
Build complete DevOps pipelines from source to production on GKE

Technologies You'll Master

GKE
Kubernetes
Docker
Cloud Build
Artifact Registry
Cloud SQL
Cloud DNS
Gateway API
GCE Persistent Disks
Cloud Load Balancing
Workload Identity
Autoscaling
External DNS
Cloud Monitoring

Course Resources

Every course comes with companion resources — follow along step-by-step.

GitHub Repository

Step-by-step code, manifests, and Terraform configs

What's Inside

69 sections covering the complete DevOps lifecycle — from Docker basics to production CI/CD.

1

GKE Cluster — Create Standard and Autopilot Clusters

2 demos

2

Docker Fundamentals — Build, Tag, Push Images

2 demos

3

Kubernetes Pods — Create, List, Expose

2 demos

4

Kubernetes ReplicaSets — Scaling and Management

1 demos

5

Kubernetes Deployments — Create, Update, Rollback

2 demos

6

Kubernetes Services — ClusterIP, NodePort, LoadBalancer

3 demos

7

Kubernetes YAML Manifests — Declarative Approach

2 demos

8

Kubernetes Storage — PV, PVC, StorageClass with GCE PD

3 demos

9

Kubernetes ConfigMaps and Secrets

2 demos

10

Kubernetes Init Containers, Liveness and Readiness Probes

2 demos

11

Kubernetes Requests, Limits, Namespaces and Resource Quotas

2 demos

12

GKE Ingress — Google Cloud HTTP(S) Load Balancer Basics

2 demos

13

GKE Ingress — Context Path Routing

2 demos

14

GKE Ingress — Custom Health Checks

1 demos

15

GKE Ingress — Domain Routing with Cloud DNS

2 demos

16

GKE Ingress — SSL Certificates (Google-Managed & Self-Managed)

3 demos

17

GKE Ingress — Frontend and Backend HTTPS Configuration

2 demos

18

Cloud DNS — External DNS for Automatic Record Management

2 demos

19

GKE Gateway API — HTTPRoute, Routing, Multi-Cluster

3 demos

20

GKE with Cloud SQL — Database Integration

2 demos

21

GKE Workload Identity — Secure Service Account Access

2 demos

22

GKE Node Pools, Taints, Tolerations, and Affinity

2 demos

23

Kubernetes RBAC and Network Policies

2 demos

24

Kubernetes DaemonSets, Jobs, and CronJobs

3 demos

25

Artifact Registry — Container Image Management

1 demos

26

Cloud Build CI/CD — Build, Push, Deploy to GKE

3 demos

27

GKE Horizontal Pod Autoscaler (HPA)

2 demos

28

GKE Vertical Pod Autoscaler (VPA)

1 demos

29

GKE Cluster Autoscaler

1 demos

View full curriculum on Udemy →

What Students Are Saying

Real reviews from Udemy students — 781 ratings, 4.5 average

Excellent course! The material is very well-structured, and the explanations are clear and detailed. The instructor does a great job of making complex topics easy to understand. Highly recommended!

Murilo

Guided to exceptional level of details. One of the best courses on Udemy to learn both GKE and GCP.

Saransh Gururani

Real examples, fun to work with them. Best hands-on course in a long time.

Pranav Olkar

Excellent course and real-world demos. The instructor's explanations are very clear and detailed.

Johann Pimenta

Thank you for this highly detailed material! You'll need to dive deeper into the terminology, but the course provides an incredible foundation for GKE.

Georgios Gkiokas

You should move Docker fundamentals to the beginning and maybe include some RBAC examples, but the course was amazing, really good!

Gian Pierre Junior Palacios Cadillo

Very detailed and well structured GKE course with practical demos.

Isabelle Tchakoute

Great course! Was very useful to refresh my memories on GKE.

Alexandru-Serban Nataluca

Great and rare GKE course. Highly recommend it.

George Falkovich

Amazing GKE course! Make sure to use abstractions for simplification.

Tami

Excellent demos for GKE and Kubernetes on Google Cloud.

R Rajesh

Excellent GKE course with comprehensive coverage!

Praveen Kumar Nalubolu

Explanation is too good. Great GKE content.

Navee

Good GKE course with hands-on demos.

Velakacherla Vijaya

Good course for learning GKE on Google Cloud.

Anandkumar Kulkarni

Good GKE Kubernetes course with practical examples.

Ramu Madabhushani

Good GKE course with detailed explanations.

SivaKumar Akkapolu

Good hands-on GKE course with real-world demos.

Rabbani Shaik

Good GKE and Kubernetes course on Google Cloud.

Ridwan

Very good GKE course with practical Kubernetes demos.

Jarek Ross

Who Is This Course For?

Any beginner interested in learning Kubernetes on Google Cloud using GKE
DevOps Engineers wanting hands-on GKE and production deployment experience
Cloud Engineers and Architects planning to master Google Kubernetes Engine
Anyone preparing to deploy containerized applications on GCP

Requirements

What You Need

  • GCP Account with permissions to create resources (GKE, VPC, Cloud SQL). Free tier works for most labs
  • Computer with SSH and web browser access (Windows, macOS, or Linux)
  • Basic command line familiarity — terminal and basic Linux commands

No Prior Experience Needed

  • No prior Docker or Kubernetes knowledge required — taught from scratch
  • No prior GCP experience needed — basics covered first

Your Instructor

KR

Kalyan Reddy Daida

DevOps & Cloud Architect | AWS, Azure & Google Cloud

4.6 Instructor Rating 32,000+ Reviews 383,000+ Students 21 Courses

Architect with 15+ years of experience in cloud infrastructure. Every StackSimplify course focuses on real-world, hands-on implementation with step-by-step instructions and companion GitHub repos — not just theory, but production-ready skills.

Ready to Master DevOps on AWS?

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