Using Cloud SQL with Google Kubernetes Engine and Workload Identity

यह अभ्यास पाठ्यक्रम का हिस्सा है

Architecting with Google Kubernetes Engine: Production

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अभ्यास निर्देश

Finish the lab to continue

यह अभ्यास पाठ्यक्रम का हिस्सा है

Architecting with Google Kubernetes Engine: Production

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पाठ्यक्रम मुफ्त में शुरू करें

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

Exercise 1: Production Course introduction

In this section of the course, you'll learn about Kubernetes security, focusing on authentication and authorization. You'll explore Kubernetes Role-Based Access Control (RBAC) and its integration with IAM to secure GKE clusters. You'll also learn how to configure Workload Identity, secure GKE with Pod Security Standards and Pod Security Admission, and implement RBAC within your GKE environment.

Exercise 1: Introduction Exercise 2: Authentication and authorization Exercise 3: Kubernetes role-based access control Exercise 4: Workload Identity Exercise 5: Kubernetes control plane security Exercise 6: Pod security Exercise 7: Securing Google Kubernetes Engine with IAM and Pod Security Admission Exercise 8: Quiz Question 1 Exercise 9: Quiz Question 2 Exercise 10: Quiz Question 3 Exercise 11: Quiz Question 4

In this section of the course, you'll learn how to monitor and log your Kubernetes applications using Google Cloud's observability tools. You'll configure Google Cloud Observability to monitor the availability and performance of your applications and gain hands-on experience inspecting logs using both the kubectl command and the Google Cloud Observability tools. You'll then learn how to configure GKE-native monitoring and logging, allowing you to proactively identify and troubleshoot issues within your Kubernetes clusters.

Exercise 1: Introduction Exercise 2: Google Cloud Observability Exercise 3: Cloud Logging Exercise 4: Cloud Monitoring Exercise 5: Inspecting logs with the kubectl command Exercise 6: Inspecting logs with Cloud Logging and Logging Agents Exercise 7: Configuring GKE-Native Monitoring and Logging Exercise 8: Quiz Question 1 Exercise 9: Quiz Question 2 Exercise 10: Quiz Question 3 Exercise 11: Quiz Question 4

In this section of the course, you'll explore the storage and database options available for your Kubernetes applications on Google Cloud. You'll compare managed and self-managed storage, learn about Cloud Storage for Kubernetes, and get an overview of Google Cloud's managed database services. You'll then learn how to securely connect to Cloud SQL from your GKE clusters and gain hands-on experience integrating Cloud SQL with Google Kubernetes Engine.

Exercise 1: Introduction Exercise 2: Using Google Cloud Services Exercise 3: Using Cloud Storage Exercise 4: Using Google Cloud Databases Exercise 5: Using Cloud SQL and SQL Auth Proxy Exercise 6: Comparing storage options Exercise 7: Using Cloud SQL with Google Kubernetes Engine and Workload Identity

वर्तमान अभ्यास

Exercise 8: Quiz Question 1 Exercise 9: Quiz Question 2 Exercise 10: Quiz Question 3 Exercise 11: Quiz Question 4

In this section of the course, you'll discover the benefits of Continuous Integration and Continuous Delivery (CI/CD) for streamlining your development and deployment workflows. You'll learn what CI/CD is, why it's important, and how it can optimize application releases. You'll explore CI/CD tools supported by Google Cloud and learn Google's best practices for building CI/CD pipelines on Google Kubernetes Engine.

Exercise 1: Introduction Exercise 2: What is CI/CD?Exercise 3: Constructing a CI/CD pipeline Exercise 4: CI/CD tools available in Google Cloud Exercise 5: Best practices for using CI/CD on Google Cloud Exercise 6: Continuous Delivery with Google Cloud Deploy Exercise 7: Quiz Question 1 Exercise 8: Quiz Question 2 Exercise 9: Quiz Question 3 Exercise 10: Quiz Question 4

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

Exercise 1: Course summary

Student PDF links to all modules

Exercise 1: Course Resources