In this chapter, we dove deep into the third significant cloud provider, Google Cloud Platform, and after understanding its origins and evolution, we focused on differentiating services like Cloud AI, Kubernetes Engine, and G Suite. Post that, we understood the concepts around serverless microservices and actually created a sample weather service application, leveraging Google Cloud functions. That led us to the next section, which focused on automation and how Google Cloud Deployment Manager can be used to create repeatable templates for treating infrastructure as code. We also looked at options for implementing CI/CD patterns in serverless environments as well as Kubernetes-based containerized deployments. Finally, we explored various options to migrate existing on-premise applications and workloads using various Google Cloud Native services as well as partner offerings. With all of the aforementioned concepts, we have completed exploring the top three public cloud providers and their capabilities to build more cloud-native architectures.

In the next and final chapter, we will bring all the concepts together and look at some of the evolving technology trends and predications based on those, so that you are ready to brace for the continuous change in this arena!