Chapter 1, The Case for Cloud Computing, starts with the brief history of cloud computing. Furthermore, the chapter delves into autohealing and autoscaling.
Chapter 2, Introduction to Google Cloud Platform, gets you into the nitty-gritty of the Google Cloud Platform, describing the diversity and versatility of the platform in terms of the resources available to us.
Chapter 3, Compute Choices – VMs and the Google Compute Engine, explores GCE, which serves as an IaaS provision of GCP. You will learn to create GCE VMs, along with its various aspects such as disk type and machine types.
Chapter 4, GKE, AppEngine, and Cloud Functions, discusses the four compute options on the GCP, ranging from IaaS through PaaS.
Chapter 5, Google Cloud Storage – Fishing in a Bucket, gets you familiar with GCS and gives an idea of where it would fit within with your overall infrastructure.
Chapter 6, Relational Databases, introduces you to RDMS and SQL. We further dive deep into Cloud SQL and Cloud Spanner that are available under GCP.
Chapter 7, NoSQL Databases, takes you through Bigtable and Datastore. This chapter explains how Bigtable is used for large datasets, whereas on the other hand, Datastore is meant for far smaller data.
Chapter 8, BigQuery, teaches you about the architecture of BigQuery and how it is Google’s fully managed petabyte-scale serverless database.
Chapter 9, Identity and Access Management, dives into how IAM lets you control access to all of the GCP resources in terms of roles and permissions.
Chapter 10, Managing Hadoop with Dataproc, helps you to understand Dataproc as a managed and cost-effective solution for Apache Spark and Hadoop workloads.
Chapter 11, Load Balancing, takes you through HTTP, TCP, and network load balancing with reference to its concepts and implementation.
Chapter 12, Networking in GCP, teaches you about Virtual Private Cloud Networks of GCP and their infrastructure and how to create and manage our own VPC networks.
Chapter 13, Logging and Monitoring, discusses how Stackdriver offers logging and monitoring services of GCP resources for free up to a certain quota and then monitoring both GCP and AWS resources for premium account holders.
Chapter 14, Infrastructure Automation, delves into the idea of how provisioning resources can be done programmatically, using templates, commands, and even code.
Chapter 15, Security on the GCP, mostly covers things such as how Google has planned for security on the GCP.
Chapter 16, Pricing Considerations, helps avoid sticker-shock and sudden unpleasant surprises regarding the pricing of the services that you use.
Chapter 17, Effective Use of the GCP, sharpens all of the GCP features and offerings that you learned in the previous chapters to make sure that we conclude our journey on a satisfactory note.
