Book description
Get acquainted with GCP and manage robust, highly available, and dynamic solutions to drive business objective
About This Book- Identify the strengths, weaknesses and ideal use-cases for individual services offered on the Google Cloud Platform
- Make intelligent choices about which cloud technology works best for your use-case
- Leverage Google Cloud Platform to analyze and optimize technical and business processes
If you are a Cloud architect who is responsible to design and manage robust cloud solutions with Google Cloud Platform, then this book is for you. System engineers and Enterprise architects will also find this book useful. A basic understanding of distributed applications would be helpful, although not strictly necessary. Some working experience on other public cloud platforms would help too.
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
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.
Style and approachA clear, concise, and straightforward book which will enable to develop and manage optimum solutions for your infrastructure
Publisher resources
Table of contents
- Title Page
- Copyright and Credits
- Packt Upsell
- Contributors
- Preface
- The Case for Cloud Computing
- Introduction to Google Cloud Platform
- Compute Choices – VMs and the Google Compute Engine
-
GKE, App Engine, and Cloud Functions
- GKE
- Creating a Kubernetes cluster and deploying a WordPress container
- Using the features of GKE
- Google App Engine – flexible
-
Google App Engine – standard
- Hosted web apps with App Engine Standard
- Typical App Engine architecture
- Deploying and running on App Engine Standard
- Traffic splitting
- Serverless compute with cloud functions
- Cloud Functions triggered by HTTP
- Cloud Functions triggered by Pub/Sub
- Cloud functions triggered by GCS object notifications
- Summary
-
Google Cloud Storage – Fishing in a Bucket
- Knowing when (and when not) to use GCS
- Serving Static Content with GCS Buckets
- Storage classes–Regional, multi-regional, nearline, and coldline
- Working with GCS buckets
- Creating buckets
- Transferring data in and out of buckets
- Use case – Object Versioning
- Use case – object life cycle policies
- Use case – restricting access with both ACLs and IAM
- Use case – signed and timed URLs
- Use case – reacting to object changes
- Use case – using customer supplied encryption keys
- Use case – auto-syncing folders
- Use case – mounting GCS using gcsfuse
- Use case – offline ingestion options
- Summary
- Relational Databases
- NoSQL Databases
- BigQuery
- Identity and Access Management
- Managing Hadoop with Dataproc
- Load Balancing
- Networking in GCP
- Logging and Monitoring
- Infrastructure Automation
- Security on the GCP
- Pricing Considerations
-
Effective Use of the GCP
- Eat the Kubernetes frog
- Careful that you don't get nickel-and-dimed
- Pay for what you allocate not what you use
- Make friends with the gsuite admins
- Try to find reasons to use network peering
- Understand how sustained use discounts work
- Read the fine print on GCS pricing
- Use BigQuery unless you have a specific reason not to
- Use pre-emptible instances in your Dataproc clusters
- Keep your Dataproc clusters stateless
- Understand the unified architecture for batch and stream
- Understand the main choices for ML applications
- Understand the differences between snapshots and images
- Don't be Milton!
- Summary
- Other Books You May Enjoy
Product information
- Title: Google Cloud Platform for Architects
- Author(s):
- Release date: June 2018
- Publisher(s): Packt Publishing
- ISBN: 9781788834308
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