Gcp

Introduction # Earlier this year, my team was provided access to a training budget for Google Cloud Platform that we could use in various ways to purchase classroom trainings or licenses to Google’s on-demand training platform, Cloud Skills Boost as well as a number of exam vouchers that could be used on various GCP certification exams. While I had previously worked almost exclusively with AWS (only using GCP for some testing of private service connect), I knew that I had some upcoming projects that required me to build services on GCP. For that reason, I jumped at the opportunity to take advantage of this training and hopefully prepare myself enough to write an exam at the end of it.

Recently, I had to complete a project that involved running the open source tool Cloudquery to create an inventory of resources in a GCP organization. This assignment turned out to be a great introduction to learning how Google Cloud Platform works, as I had almost exclusively used AWS previously (with only minor trials in both Azure and GCP during that time). Throughout the project, I found myself often mapping certain concepts back to what they would be called or how they would be done in AWS. In doing so, I started to keep score of what I liked more than AWS and what I liked less - and now I’m finally sitting down to organize some of those thoughts.