Summary

In this chapter, we discussed the role of Python for developing applications for cloud deployment in general, as well as the use of Apache Beam with Python for deploying data processing pipelines on Google Cloud Dataflow. We started this chapter by comparing three main public cloud providers in terms of what they offer for developing, building, and deploying different types of applications. We also compared the options that are available from each cloud provider for runtime environments. We learned that each cloud provider offers a variety of runtime engines based on the application or program. For example, we have separate runtime engines for classic web applications, container-based applications, and serverless functions. To explore the effectiveness of Python for cloud-native web applications, we built a sample application and learned how to deploy such an application on Google App Engine by using Cloud SDK. In the last section, we extended our discussion of the data process...