Google Cloud Platform for Architects · Design and manage powerful Cloud solutions by Srinivasan, Vitthal -- Read -- Imperial Library of Trantor

Index

Title Page Copyright and Credits

Google Cloud Platform for Architects

Packt Upsell

Why subscribe? PacktPub.com

Contributors

About the authors About the reviewer Packt is searching for authors like you

Preface

Who this book is for What this book covers To get the most out of this book

Conventions used

Get in touch

Reviews

The Case for Cloud Computing

Genesis Why Google Cloud Platform (GCP)? Autoscaling and autohealing Capital expenditure (CAPEX) versus operating expenses (OPEX) Career implications Summary

Introduction to Google Cloud Platform

Global, regional, and zonal resources Accessing the Google Cloud Platform Projects and billing Setting up a GCP account Using the Cloud Shell Summary

Compute Choices – VMs and the Google Compute Engine

Google Compute Engine – GCE

Creating VMs

Creating a VM instance using the web console Creating a VM instance using the command line

VM customization options

Operating system Compute zone Machine type Networks – aka VPCs Storage options

Persistent disks and local SSDs – block storage for GCE

Understanding persistent disks and local SSDs

Creating and attaching a persistent disk Linux procedure for formatting and mounting a persistent disk Sharing a persistent disk between multiple instances Resizing a persistent disk

More on working with GCE VMs

Rightsizing recommendations Availability policies Auto-restart Preemptibillity Load balancing Autoscaling and managed instance groups Billing Labels and tags Startup scripts Snapshots and images

How to snapshot a disk How to create an image of a disk

Cloud launcher Deploying LAMP stack using GCE

Modifying GCE VMs Summary

GKE, App Engine, and Cloud Functions

GKE

Contrasting containers and VMs What is a container? Docker containers and Kubernetes – complements, not substitutes GKE

Creating a Kubernetes cluster and deploying a WordPress container Using the features of GKE

Storage and persistent disks Load balancing Auto scaling

Scaling nodes with the cluster autoscaler Scaling pods with the horizontal pod autoscaler

Multi-zone clusters Cloud VPN integration Rolling updates The container registry Federated clusters

Google App Engine – flexible

Hosted Docker containers with App Engine Flex Running a simple Python application with App Engine Flex  Cron Jobs with App Engine Flex Advantages of GKE over Docker on VMs or App Engine Flex

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

Creating buckets using the web console Creating buckets using gsutil Changing the storage class of bucket and objects

Transferring data in and out of buckets

Uploading data to buckets using the web console Uploading data to buckets using gsutil Copying data between buckets using the web console Copying data between buckets using the gsutil command line Using the Transfer Service (instead of gsutil or the web console)

Transfer Service or gsutil?

Use case – Object Versioning

Object versioning in the Cloud Storage bucket

Use case – object life cycle policies

Managing bucket life cycle using the web console Manipulating object life-cycle via JSON file Deleting objects permanently using the web console Deleting objects permanently using gsutil

Use case – restricting access with both ACLs and IAM

Managing permissions in bucket using the GCP console

Use case – signed and timed URLs

Setting up signed URLs for cloud storage

Use case – reacting to object changes

Setting up object change notifications with the gsutil notification watchbucket

Use case – using customer supplied encryption keys Use case – auto-syncing folders Use case – mounting GCS using gcsfuse

Mounting GCS buckets

Use case – offline ingestion options Summary

Relational Databases

Relational databases, SQL, and schemas

OLTP and the ACID properties Scaling up versus scaling out

GCP Cloud SQL

Creating a Cloud SQL instance Creating a database in a Cloud SQL instance Importing a database Testing Cloud SQL instances

Use case – managing replicas Use case – managing certificates Use case – operating Cloud SQL through VM instances Automatic backup and restore Cloud Spanner

Creating a Cloud Spanner instance Creating a database in Cloud Spanner instances Querying a database in a Cloud Spanner instance Interleaving tables in Cloud Spanner

Summary

NoSQL Databases

NoSQL databases Cloud Bigtable

Fundamental properties of Bigtable

Columnar datastore Denormalization Support for ACID properties

Working with Bigtable

When to use Bigtable Solving hot-spotting Choosing storage for Bigtable Solving performance issues

Ideal row key choices Performing operations on Bigtable

Creating and operating an HBase table using Cloud Bigtable

Exporting/Importing a table from Cloud Bigtable

Scaling GCP Cloud BigTable The Google Cloud Datastore Comparison with traditional databases Working with Datastore

When to use Datastore

Full indexing and perfect index

Using Datastore

Summary

BigQuery

Underlying data representation of BigQuery BigQuery public datasets Legacy versus standard SQL Working with the BigQuery console Loading data into a table using BigQuery Deleting datasets Working with BigQuery using CLI BigQuery pricing Analyzing financial time series with BigQuery Summary

Identity and Access Management

Resource hierarchy of GCP Permissions and roles

Units of identity in GCP Creating a Service Account Working with cloud IAM – grant a role Working with IAM – creating a custom role

Summary

Managing Hadoop with Dataproc

Hadoop and Spark Hadoop on the cloud Google Cloud Dataproc Compute options for Dataproc Working with Dataproc Summary

Load Balancing

Why load balancers matter now Taxonomy of GCP load balancers HTTP(S) load balancing Configuring HTTP(S) load balancing Configuring Internal Load Balancing Other load balancing Summary

Networking in GCP

Why GCP's networking model is unique VPC networks and subnets The default VPC Internal and external IP addresses VPN and cloud router Working with VPCs Working with custom subnets Working with firewall rules Summary

Logging and Monitoring

Logging

Working with logs More Stackdriver – creating log-based metrics

Monitoring Summary

Infrastructure Automation

Managed Instance Groups Cloud deployment manager Summary

Security on the GCP

Security features at Google and on the GCP Google-provided tools and options for security Some security best practices BeyondCorp – Identity-Aware Proxy Summary

Pricing Considerations

Compute Engine BigTable BigQuery Datastore Cloud SQL Google Kubernetes Engine Pub/Sub Cloud ML Engine Stackdriver Video Intelligence API Key Management Service – KMS Vision API Summary

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

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