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Google Cloud Platform for Architects

Google Cloud Platform for Architects

By : Vitthal Srinivasan, Loonycorn Ravi, Judy Raj
3.1 (12)
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Google Cloud Platform for Architects

Google Cloud Platform for Architects

3.1 (12)
By: Vitthal Srinivasan, Loonycorn Ravi, Judy Raj

Overview of this book

Using a public cloud platform was considered risky a decade ago, and unconventional even just a few years ago. Today, however, use of the public cloud is completely mainstream - the norm, rather than the exception. Several leading technology firms, including Google, have built sophisticated cloud platforms, and are locked in a fierce competition for market share. The main goal of this book is to enable you to get the best out of the GCP, and to use it with confidence and competence. You will learn why cloud architectures take the forms that they do, and this will help you become a skilled high-level cloud architect. You will also learn how individual cloud services are configured and used, so that you are never intimidated at having to build it yourself. You will also learn the right way and the right situation in which to use the important GCP services. By the end of this book, you will be able to make the most out of Google Cloud Platform design.
Table of Contents (19 chapters)
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13
Logging and Monitoring

NoSQL Databases

In the previous chapter, we took a closer look at the RDBMS services of GCP, Cloud SQL, and Cloud Spanner. These are great for many use cases, but there are also several situations in which they are not quite the right tool. The NoSQL offerings on the GCP, Bigtable, and Datastore might come in handy here. Bigtable is similar in many ways to Apache's HBase, while Datastore is a document database that competes with alternatives such as MongoDB.

Now, one little bit of fine print: in this chapter, we will use the terms NoSQL and RDBMS as if they are perfect alternatives; that is, it might seem like any storage solution that is not an RDBMS is a NoSQL database. That's not quite strictly true. BigQuery, for instance, is a SQL-compliant data warehouse, which is certainly not an RDBMS. So, the term NoSQL really only means that the data is not accessed via SQL...

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