Google Cloud Platform for Architects: Design and manage powerful cloud solutions
By 作者: Vitthal Srinivasan - Janani Ravi - Judy Raj
ISBN-10 书号: 1788834305
ISBN-13 书号: 9781788834308
Release Finelybook 出版日期: 2018-06-26
Pages 页数: 372
The Book Description robot was collected from Amazon and arranged by Finelybook
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.
1: THE CASE FOR CLOUD COMPUTING
2: INTRODUCTION TO GOOGLE CLOUD PLATFORM
3: COMPUTE CHOICES – VMS AND THE GOOGLE COMPUTE ENGINE
4: GKE, APP ENGINE, AND CLOUD FUNCTIONS
5: GOOGLE CLOUD STORAGE – FISHING IN A BUCKET
6: RELATIONAL DATABASES
7: NOSQL DATABASES
9: IDENTITY AND ACCESS MANAGEMENT
10: MANAGING HADOOP WITH DATAPROC
11: LOAD BALANCING
12: NETWORKING IN GCP
13: LOGGING AND MONITORING
14: INFRASTRUCTURE AUTOMATION
15: SECURITY ON THE GCP
16: PRICING CONSIDERATIONS
17: EFFECTIVE USE OF THE GCP
What You Will Learn
Set up GCP account and utilize GCP services using the cloud shell, web console, and client APIs
Harness the power of App Engine, Compute Engine, Containers on the Kubernetes Engine, and Cloud Functions
Pick the right managed service for your data needs, choosing intelligently between Datastore, BigTable, and BigQuery
Migrate existing Hadoop, Spark, and Pig workloads with minimal disruption to your existing data infrastructure, by using Dataproc intelligently
Derive insights about the health, performance, and availability of cloud-powered applications with the help of monitoring, logging, and diagnostic tools in Stackdriver
Vitthal Srinivasan is a Google Cloud Platform Authorized Trainer and certified Google Cloud Architect and Data Engineer. Vitthal holds master's degrees in math and electrical engineering from Stanford and an MBA from INSEAD. He has worked at Google as well as at other large firms, such as Credit Suisse and Flipkart. He is currently in Loonycorn, a technical video content studio, of which he is a cofounder.
Janani Ravi is a certified Google Cloud Architect and Data Engineer. She has earned her master's degree in electrical engineering from Stanford. She is currently in Loonycorn, a technical video content studio, of which she is a cofounder. Prior to co-founding Loonycorn, she worked at various leading companies, such as Google and Microsoft, for several years as a software engineer.