In "Architecting with Google Kubernetes Engine- Workloads", you'll embark on a comprehensive journey into cloud-native application development. Throughout the learning experience, you'll explore Kubernetes operations, deployment management, GKE networking, and persistent storage. This is the first course of the Architecting with Google Kubernetes Engine series. After completing this course, enroll in the Architecting with Google Kubernetes Engine- Production course.
Overview
Syllabus
- Workloads Course Introduction
- Course introduction
- Workloads: Deployments and Jobs
- Introduction
- Creating Deployments
- Inspecting Deployments
- Updating Deployments
- Other Deployment strategies
- Jobs and Cronjobs
- Cluster scaling
- Controlling Pod placement with labels and affinity rules
- Controlling Pod placement with taints and tolerations
- Getting software into your cluster
- Creating Google Kubernetes Engine Deployments
- Quiz
- Google Kubernetes Engine Networking
- Introduction
- Pod networking
- Kubernetes Services
- Service type and load balancers
- Ingress
- Container-native load balancing
- Network Policies
- Configuring Google Kubernetes Engine (GKE) Networking
- Quiz
- Persistent Data and Storage
- Introduction
- Volumes
- Ephemeral Volumes
- Durable Volumes
- StatefulSets
- ConfigMaps
- Secrets
- Configuring Persistent Storage for Google Kubernetes Engine
- Quiz
- Workloads Course Summary
- Workloads Course summary
- Course Resources
- Course Resources
- Your Next Steps
- Course Badge
Tags
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Architecting with Google Kubernetes Engine: Workloads
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Architecting with Google Kubernetes Engine: Workloads
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Architecting with Google Kubernetes Engine
