This training videolab is a collection of Google Cloud videos created by Jennifer Brown @jbrojbrojbro. Jennifer is a Google Cloud Developer Advocate and a Google employee. Her videos are very good and average about 3 minutes each.
This lab combines her videos with extra material to create a study path for Google Cloud. The goal is to learn how to use Google Cloud in an entertaining manner built with free resources.
Google Cloud Platform, offered by Google, is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube.
Last Update: October 9, 2019
Copyright: I am contributing my work creating this videolab to the public domain.
Google's Cloud Storage Bytes playlist on YouTube
Google Cloud Platform playlist on YouTube
Thread and process count can be set using the "parallel_thread_count" and "parallel_process_count" boto config options.
gsutil -o "GSUtil:parallel_process_count=8" \ -o "GSUtil:parallel_thread_count=1" \ -m cp -j html -r /local/source/dir gs://bucket/path
gsutil performs the specified operation using a combination of multi-threading and multi-processing, using a number of threads and processors determined by the parallel_thread_count and parallel_process_count values set in the boto configuration file. You might want to experiment with these values, as the best values can vary based on a number of factors, including network speed, number of CPUs, and available memory.
These config options can be set in the boto config file located at
As Google releases new videos, I will update this videolab series.