Summary

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Cloud platforms are continuing to grow and evolve. There was a time when cloud platforms consisted of a few core services: virtual machines, blob storage, relational databases, etc. Cloud platforms are now much more complex, with services being built on top of other services. Kubernetes Engine, for example, runs on top of Compute Engine and integrates with the Container Registry, load balancers, and other services. With so many services of varying levels of complexity, it can be overwhelming to develop cloud-based solutions. 

Throughout this lesson, we’ll cover some of the topics that will help you to integrate your applications with Google Cloud Platform’s compute services and REST API.

If you have any feedback related to this lesson, please contact us at support@cloudacademy.com.

Learning Objectives 

  • Implementing service discovery with Kubernetes Engine and Compute Engine 
  • Configuring applications with instance metadata 
  • Authenticating users with Identity Aware Proxy 
  • Using the CLI and Cloud Shell 
  • Integrating with the GCP API 

Intended Audience 

  • Developers looking to integrate with GCP compute services 

Prerequisites 

To get the most out of this lesson, you should already have some development experience and an understanding of Google Cloud Platform. 

About the Author
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Ben Lambert is a software engineer and was previously the lead author for DevOps and Microsoft Azure training content at Cloud Academy. His courses and learning paths covered Cloud Ecosystem technologies such as DC/OS, configuration management tools, and containers. As a software engineer, Ben’s experience includes building highly available web and mobile apps. When he’s not building software, he’s hiking, camping, or creating video games.

Covered Topics