Workloads Course summary

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Architecting with Google Kubernetes Engine: Workloads

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To ćwiczenie jest częścią kursu

Architecting with Google Kubernetes Engine: Workloads

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In this introduction, you'll explore the course goals and preview each section.

Exercise 1: Course introduction

In this section of the course, you'll learn to manage Kubernetes Deployments, Jobs, and CronJobs to deliver applications and automate tasks. You'll also explore cluster scaling techniques to optimize performance and resource utilization.

Exercise 1: Introduction Exercise 2: Creating Deployments Exercise 3: Inspecting Deployments Exercise 4: Updating Deployments Exercise 5: Other Deployment strategies Exercise 6: Jobs and Cronjobs Exercise 7: Cluster scaling Exercise 8: Controlling Pod placement with labels and affinity rules Exercise 9: Controlling Pod placement with taints and tolerations Exercise 10: Getting software into your cluster Exercise 11: Creating Google Kubernetes Engine Deployments Exercise 12: Quiz Question 1 Exercise 13: Quiz Question 2 Exercise 14: Quiz Question 3 Exercise 15: Quiz Question 4 Exercise 16: Quiz Question 5 Exercise 17: Quiz Question 6 Exercise 18: Quiz Question 7

In this section of the course, you'll gain a comprehensive understanding of Kubernetes networking. You'll delve into how pods and clusters communicate, create services to expose your applications to the network, and configure load balancers for external access. You'll also examine container-native load balancing and master the configuration of Google Kubernetes Engine Networking for optimal performance and security.

Exercise 1: Introduction Exercise 2: Pod networking Exercise 3: Kubernetes Services Exercise 4: Service type and load balancers Exercise 5: Ingress Exercise 6: Container-native load balancing Exercise 7: Network Policies Exercise 8: Configuring Google Kubernetes Engine (GKE) Networking Exercise 9: Quiz Question 1 Exercise 10: Quiz Question 2 Exercise 11: Quiz Question 3 Exercise 12: Quiz Question 4 Exercise 13: Quiz Question 5

In this section of the course, you'll unlock the secrets of Kubernetes storage. You'll learn how to define and work with Kubernetes storage abstractions, ensuring your applications have access to persistent data. You'll also discover how to manage sets of Pods efficiently using StatefulSets, decouple configuration from Pods using ConfigMaps, and securely manage sensitive access and authentication data. Finally, you'll practice configuring persistent storage for Google Kubernetes Engine, ensuring your data remains safe and accessible.

Exercise 1: Introduction Exercise 2: Volumes Exercise 3: Ephemeral Volumes Exercise 4: Durable Volumes Exercise 5: StatefulSets Exercise 6: ConfigMaps Exercise 7: Secrets Exercise 8: Configuring Persistent Storage for Google Kubernetes Engine Exercise 9: Quiz Question 1 Exercise 10: Quiz Question 2 Exercise 11: Quiz Question 3 Exercise 12: Quiz Question 4

The course closes with a summary of the key points covered in each section.

Exercise 1: Workloads Course summary

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Student PDF links to all modules

Exercise 1: Course Resources