Chapter 13
Running Applications on the Google Cloud Platform (GCP)
IN THIS CHAPTER
Developing projects for the Google Cloud Platform (GCP)
Using the GCP utilities
Accessing Google Cloud Storage (GCS)
Packaging and running TensorFlow applications in the GCP
Of all the success stories in the world of technology, none are more spectacular than the rise of Google. Since its initial public offering in 2004, Google has constructed a vast computational architecture that spans the globe. Everyone with an Internet connection knows how to search for information on google.com and view media on youtube.com. Google’s technology has become so popular that the verb google has entered the Merrian-Webster Dictionary.
While Google’s technology is famous across the world, the Google Compute Platform (GCP) isn’t as well-known. This is a shame, because the GCP lets developers like you and me take advantage of Google’s vast resources, which include terabytes of distributed storage and clusters of high-speed processors.
I love using the GCP because my applications can access Google’s technologies, which ...
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