Book Image

Google Cloud Platform for Architects

By : Vitthal Srinivasan, Loonycorn , Judy Raj
Book Image

Google Cloud Platform for Architects

By: Vitthal Srinivasan, Loonycorn , 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)
13
Logging and Monitoring

Comparison with traditional databases

In a traditional RDBMS, you have atomic transactions, which is true for Datastore as well. Datastore does support atomic transactions and the ACID properties, mostly due to the need to keep all of the internal indices consistent. Both traditional RDBMS and Datastore make heavy use of indices for fast lookup. But in Datastore, every query makes use of indices, which is far beyond what traditional RDBMS do. Consequently, the query execution time in Datastore is basically independent of the size of the underlying dataset, which is certainly not the case with traditional RDBMSs.

Traditional RDBMS use relational data, that is, rows and columns, but without many hierarchical relationships within those entity relations. Datastore on the other hand is document-oriented, which implies it is optimized for hierarchically structured data such as XML or...