Google Kubernetes Engine GKE with DevOps 75 Real-World Demos

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Google Kubernetes Engine GKE with DevOps 75 Real-World Demos Udemy Coupon

Google Kubernetes Engine GKE with DevOps 75 Real-World Demos

Google GKE, Kubernetes, IAM, Filestore, Disks, Ingress, Load Balancing, Autoscaling, SQL, DNS, Armor, DevOps, Build, CDN

Created by Kalyan Reddy Daida | DevOps & SRE Architect on AWS, Azure & Google Cloud Platforms | 26 hours on-demand video course

Welcome to this Amazing course on Google Kubernetes Engine GKE with DevOps|75 Real-World Demos.

What you’ll learn

  • You will learn to master Kubernetes on Google GKE with 75 Real-world demo’s on Google Cloud Platform with 20+ Kubernetes and 30+ Google Cloud Services
  • You will learn Kubernetes Basics for 4.5 hours
  • You will create GKE Standard and Autopilot clusters with public and private networks
  • You will learn to implement Kubernetes Storage with Google Persistent Disks and Google File Store
  • You will also use Google Cloud SQL, Cloud Load Balancing to deploy a sample application outlining LB to DB usecase in GKE Cluster
  • You will master Kubernetes Ingress concepts in detail on GKE with 22 Real-world Demos
  • You will implement Ingress Context Path Routing and Name based vhost routing
  • You will implement Ingress with Google Managed SSL Certificates
  • You will master Google GKE Workload Identity with a detailed dedicated demo.
  • You will implement External DNS Controller to automatically add, delete DNS records automatically in Google Cloud DNS Service
  • You will implement Ingress with Preshared SSL and Self Signed Certificates
  • You will implement Ingress with Cloud CDN, Cloud Armor, Internal Load Balancer, Cookie Affinity, IP Affinity, HTTP Access Logging.
  • You will implement Ingress with Google Identity-Aware Proxy
  • You will learn to use Google Artifact Registry with GKE
  • You will implement DevOps Continuous Integration (CI) and Continuous Delivery (CD) with Cloud Build and Cloud Source Services
  • You will learn to master Kubernetes Probes (Readiness, Startup, Liveness)
  • You will implement Kubernetes Requests, Limits, Namespaces, Resource Quota and Limit Range
  • You will implement GKE Cluster Autoscaler and Horizontal Pod Autoscaler

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Josh Smith
Josh Smith

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