Dear Google, Your Cloud Is Great, but..Here Is a Little Feedback
As a developer with fifteen years of experience in IT, I’ve dedicated the past five years to working with the cloud. I’ve been involved with cloud services from AWS cloud (since 2010) and Azure. A bit over nine months ago, I started working almost exclusively with Google Cloud (GCD) and Google Compute Engine as part of a consulting project I led. The project involved building a backend for a high performance web application. At first, the customer thought to use their own data center, which I discouraged. Then, Google approached them and offered a package that included free support and better pricing for their services, which the customer agreed to take.
I’ve been working on this project for a few months now and in many ways, Google Cloud Platform (GCP) has been great to work with. However, it’s the first time that I’ve seen such great challenges compared to my experience working with other clouds. It feels like these challenges stem from Google’s isolated development culture, with their “my way or the highway” approach. In this article I would like to address these thoughts and provide you with a few suggestions.
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[GUEST POST] I started exploring the cloud computing world around 5 years ago, and I must admit that my initial understanding of the cloud was a disaster. At first, it was difficult to find a comprehensive definition, but I finally settled on one from the National Institute of Standards & Technology (NIST). It clearly defined the cloud’s attributes and models, and removed my doubts regarding what falls under the cloud umbrella. The experience that I had finding this definition made me realize that I wanted there to be an easier way for others to find it, as well. Therefore, I decided to create my own list of cloud guidelines. This was a turning point in my cloud journey, as it pushed me to teach many students and IT professionals about cloud computing.

The rapid development of SaaS applications in the cloud means more and more people, features and open source applications are combining together into one huge platform. Due to the immediacy of software development, a major challenge for software vendors is to audit changes in their application environments, such as system configurations. The problem is that any `change performed at any stage of an operation can impact other areas of an application. This digital butterfly effect can be very detrimental in today’s fast-paced, on-demand environment. It becomes even more destructive when these changes can’t be found, due to inadequate tracking. Failure to track changes, can greatly affect a company’s revenues and success.
