Google GKE, Kubernetes, IAM, Filestore, Disks, Ingress, Load Balancing, Autoscaling, SQL, DNS, Armor, DevOps, Build, CDN
Instructed by Kalyan Reddy Daida 26 hours on-demand video & 4 articles
What you’ll learn
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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
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You will learn Kubernetes Basics for 4.5 hours
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You will create GKE Standard and Autopilot clusters with public and private networks
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You will learn to implement Kubernetes Storage with Google Persistent Disks and Google File Store
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You will also use Google Cloud SQL, Cloud Load Balancing to deploy a sample application outlining LB to DB usecase in GKE Cluster
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You will master Kubernetes Ingress concepts in detail on GKE with 22 Real-world Demos
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You will implement Ingress Context Path Routing and Name based vhost routing
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You will implement Ingress with Google Managed SSL Certificates
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You will master Google GKE Workload Identity with a detailed dedicated demo.
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You will implement External DNS Controller to automatically add, delete DNS records automatically in Google Cloud DNS Service
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You will implement Ingress with Preshared SSL and Self Signed Certificates
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You will implement Ingress with Cloud CDN, Cloud Armor, Internal Load Balancer, Cookie Affinity, IP Affinity, HTTP Access Logging.
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You will implement Ingress with Google Identity-Aware Proxy
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You will learn to use Google Artifact Registry with GKE
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You will implement DevOps Continuous Integration (CI) and Continuous Delivery (CD) with Cloud Build and Cloud Source Services
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You will learn to master Kubernetes Probes (Readiness, Startup, Liveness)
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You will implement Kubernetes Requests, Limits, Namespaces, Resource Quota and Limit Range
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You will implement GKE Cluster Autoscaler and Horizontal Pod Autoscaler
Who this course is for:
- Infrastructure Architects or Sysadmins or Developers who are planning to master Kubernetes from Real-World perspective on Google Cloud Platform (GCP)
- Any beginner who is interested in learning Kubernetes with Google Cloud Platform (GCP)
- Any beginner who is planning their career in DevOps
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