Summary
In this chapter, we learned about Cloud Run, which is a service that allows you to run cloud-native workloads on Google Cloud serverlessly. Cloud Run abstracts all the implementation details of Kubernetes and Knative away from the developer and allows a seamless deployment experience. The developer does not need to understand the complex Kubernetes resource definitions to define how the application should behave under load. Scaling and load balancing are done under the hood based on the parameters that are defined during the deployment. Cloud Run integrates with many GCP services such as Cloud IAM and the Cloud operations suite for logging and monitoring.
We also deployed the Cloud Run service and learned how new revisions can be deployed. Finally, we learned how to control traffic between various revisions.
In the next chapter, we will talk about Anthos, a GCP hybrid multi-cloud platform that allows you to manage cloud-native workloads both in the public cloud as well...
