GCP GKE Terraform on Google Kubernetes Engine DevOps SRE IaC
[NEW-SEPTEMBER 2024] Master Terraform on GCP GKE: 40 Real-World Demos to become a DevOps SRE and IaC Expert
4.53 (122 reviews)
1 445
students
22 hours
content
Mar 2025
last update
$84.99
regular price
What you will learn
You will learn Terraform basics with first 8 practical demos
You will learn to automate GKE standard public cluster with terraform
You will learn to automate GKE standard private clsuter with cluster autoscaler
You will learn to automate GKE standard private cluster with private endpoint
You will learn to automate GKE autopilot private clsuter with terraform
You will learn to implemnent autoscaling features like cluster autoscaler, horiztontal and vertical pod autoscaling
You will learn to automate GKE Storage: GCP Compute Engine Persistent Disk CSI Driver
You will learn to automate GKE Storage: GCP Cloud Storage FUSE CSI Driver
You will learn to automate GKE Storage: GCP Filestore CSI Driver
You will learn to automate GKE Gateway API: Static IP with GCP External IP Address
You will learn to automate GKE Gateway API: Self-signed SSL certs with Kubernetes Secrets
You will learn to automate GKE Gateway API: Self-signed SSL certs with GCP Certificate Manager
You will learn to automate GKE Gateway API: HTTP to HTTPS Redirect
You will learn to automate GKE Gateway API: Context Path-based Routing
You will learn to automate GKE Gateway API: Domain name based Routing
You will learn to automate GKE Gateway API: Traffic Splitting
You will learn to automate GKE Gateway API: Health checks and Session Affinity
You will learn to master services like GCP Cloud Domains and Cloud DNS
You will learn to automate GKE Gateway API: Production grade SSL with Cloud DNS and Cloud Domains
You will learn to automate GKE Gateway API: Production grade SSL with Cloud DNS and AWS Route53
You will learn to automate GKE Gateway API: GCP Global Application Load Balancer
You will learn to automate GKE Gateway API: GCP Regional Application Load Balancer
You will learn to use pre-built Terraform modules from Terraform Registry
You will build GKE Cluster custom terraform module
You will implement GKE Infra devops where we can create multiple GKE environments dev, production using Cloud Build Triggers (Pipelines)
You will build Kubernetes Deployment custom terraform module
You will implement continuous integration for a sample application using GitHub, Cloud Build and GCP Artifact Registry
You will implement GKE Workload devops where we can deploy our dev applications to Dev GKE cluster and prod applications to prod GKE cluster using GitHub and Cl
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Our Verdict
Taking into account its extensive coverage of Terraform on GCP GKE and an impressive line-up of real-world demos, we believe this Masterclass to be an ideal choice for DevOps, SRE and IaC enthusiasts aiming to learn effective ways of implementing complex infrastructures. However, aspiring students should prepare themselves for the density of information found throughout the course, making patience and dedication essential towards fully absorbing all the important concepts.
What We Liked
- A comprehensive and in-depth exploration of Terraform on Google Kubernetes Engine (GKE), perfect for DevOps, SRE, and IaC aspirants.
- A well-structured curriculum with 40 real-world demos guiding learners from basic to pro level, covering essential GCP services and GKE concepts.
- Highly acclaimed course materials praised by learners for being relevant, organized, detailed, and easy to consume.
- Experience hands-on learning through numerous practical exercises and demos available in a public GitHub repository.
Potential Drawbacks
- The sheer number of demonstrations might be overwhelming for absolute beginners who lack prior knowledge or experience with Kubernetes, Terraform, or GCP.
- Certain advanced topics may test learners' understanding and patience, requiring extra dedication to fully grasp the concepts.
- Some international users have expressed difficulty understanding the instructor's pronunciation due to non-native English language backgrounds.
- Although lengthy at 22 hours, the course could benefit from occasionally updating or revising older sections for improvements.
6075033
udemy ID
15/07/2024
course created date
16/09/2024
course indexed date
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