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Index
Title Page Copyright and Credits
Professional Cloud Architect – Google Cloud Certification Guide
Dedication About Packt
Why subscribe?
Foreword Contributors
About the authors About the reviewers 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
Download the color images
Code in Action
Conventions used
Get in touch
Reviews
Section 1: Introduction to GCP GCP Cloud Architect Professional
The benefits of being a certified architect Registering for the exam What to expect from the exam Some tips Summary Further reading
Getting Started with Google Cloud Platform
Introducing the cloud Understanding GCP
GCP differentiators GCP locations Resource manager
Organizations Folders Projects Resources scope
Global resources Regional resources Zonal resources
Managing projects Granting permissions Billing
Managing billing accounts Assigning a project to a billing account Exporting billing Budgets and alerts Billing account roles
Summary Further reading
Google Cloud Platform Core Services
Computing and hosting services Storage services Networking services Big data services ML services Identity services Summary Further reading
Section 2: Managing, Designing, and Planning a Cloud Solution Architecture Working with Google Compute Engine
Code in Action Deploying our first GCE instance Deployment options
Region Zone Boot disk Application images Snapshots Existing disks Management | Labels Management | Deletion protection Management | Metadata Management | Startup scripts Management | Preemptibilty Management | Availability policy Management | Automatic restart Security | Shielded VM Disks | Deletion rule Sole tenancy | Node affinity labels GPUs and TPUs
Instance templates and instance groups
Setting the location Port name mapping
Autoscaling  Autohealing Quotas and limits IAM roles Pricing Summary Further reading
Managing Kubernetes Clusters with Google Kubernetes Engine
An introduction to microservices  Containers Docker Kubernetes
Kubernetes architecture
The master node Worker nodes
Kubernetes objects
Pods Replica sets Deployments Namespaces Services 
Types of services
Google Kubernetes Engine
Node pools Container-Optimized OS Storage GKE cluster management Creating a GKE cluster
Advanced configuration Networking Security Stackdriver Additional features Deploying our first application Cluster second-day operations
Upgrading the cluster Auto-upgrades Auto-repair Resizing the cluster Autoscaling a cluster  Rotating the master IP
IAM Kubernetes role-based access control Container Registry Cloud Build Quotas and limits Pricing
Summary Further reading
Exploring Google App Engine as a Compute Option
Code in Action App Engine components Choosing the right location Working with App Engine Environment types
App Engine Standard environment Flexible environment
Deploying an App Engine application Versions Splitting traffic Migrating traffic Firewall rules Settings
Custom domain SSL certificates
Scaling Cron jobs Memcache IAM Quotas and limits Pricing Summary Further reading
Running Serverless Functions with Google Cloud Functions
Main Cloud Functions characteristics Use cases
Application backends Real-time data processing systems Smart applications
Runtime environments Types of Cloud Functions
HTTP functions Background functions
Events Triggers Other considerations
Cloud SQL connectivity Connecting to internal resources in a VPC network Environmental variables Cold start Local emulator
Deploying Cloud Functions
Deploying Cloud Functions with the Google Cloud Console Deploying functions with the gcloud command 
Triggers
IAM Quotas and limits Pricing Cloud Run  Summary  Further reading
Networking Options in GCP
Exploring GCP networking Understanding Virtual Private Cloud
Connectivity Cost VPC Flow Logs Cross-VPC connectivity
Shared VPC VPC peering
Choosing between shared VPC and VPC peering
Load balancing
Global versus regional load balancing External versus internal Proxy versus load balancer Load balancer types Comparison Choosing the right load balancer
NAT
NAT gateway Cloud NAT
Hybrid connectivity
VPN Interconnects Peering Choosing the right connectivity method
DNS
DNS resolution Cloud DNS DNSSEC
Firewall rules
Default rules Implied rules Always allowed traffic rules Always denied rules User-defined rules Firewall logging
Private access Summary Further reading
Exploring Storage Options in GCP - Part 1
Code in Action Choosing the right storage option
Data consistency
Understanding Cloud Storage
Storage classes Data consistency Cloud Storage FUSE Creating and using a bucket Versioning and lifecycle management
Versioning Lifecycle management
Transferring data
Cloud Storage Transfer Service Google Transfer Appliance
Understanding IAM Quotas and limits Pricing
Understanding Cloud Datastore
Data consistency Creating and using Cloud Datastore Datastore versus Firestore IAM Quotas and limits Pricing
Understanding Cloud SQL
Data consistency Creating and managing Cloud SQL Read Replicas Failover Replica Backup and recovery Migrating data Instance cloning IAM Quotas and limits Pricing
Summary Further reading
Exploring Storage Options in GCP - Part 2
Cloud Spanner
Instances configuration Node count Replication TrueTime Data consistency Creating a Cloud Spanner instance IAM Quotas and limits Pricing
Bigtable
Bigtable configuration
Instances Clusters Nodes Schema Replication Application profiles
Data consistency Creating a Bigtable instance and table IAM Quotas and limits Pricing
Summary Further reading
Analyzing Big Data Options
End-to-end big data solution Cloud Pub/Sub
Creating a topic and subscription IAM Quotas and limits Pricing
Cloud Dataflow
IAM Quotas and limits Pricing
BigQuery
BigQuery features
Datasets Tables
Using BigQuery
Importing and exporting data Storage
IAM Quotas and limits Pricing
Dataproc
Architecture IAM Quotas and limits
Cloud IoT Core
IAM Quotas and limits Pricing
Additional considerations Summary Further reading
Putting Machine Learning to Work
An introduction to AI and ML The seven steps of ML
Gathering and preparing the data  Choosing a model Training Evaluation Hyperparameter tuning Prediction
Learning models GCP ML options TensorFlow Cloud ML Engine
Using ML Engine Interacting with ML Engine ML Engine scale tiers Cloud Tensor Processing Units (TPUs) Submitting a training job Deploying the model Predictions
Submitting predictions
Pretrained ML models 
The Cloud Speech-to-Text API The Cloud Text-To-Speech API The Cloud Translation API  The Cloud Natural Language API The Cloud Vision API The Google Cloud Video Intelligence API
Dialogflow AutoML Summary Further reading
Section 3: Designing for Security and Compliance Security and Compliance
Code in Action Introduction to security Cloud Identity Resource Manager Identity and Access Management (IAM)
Service accounts Cloud Storage access management
Firewall rules and load balancers Cloud Security Scanner Monitoring and logging Encryption
Data encryption keys versus key encryption keys CMEKs versus CSEKs
Industry regulations
PCI compliance Shared responsibility model Data Loss Prevention (DLP) Penetration testing in GCP
Additional security services
Cloud Identity-Aware Proxy (IAP) Security Command Center (SCC) Forseti Cloud Armor
Summary Further reading
Section 4: Managing Implementation Google Cloud Management Options
Code in Action Using APIs Google Cloud Shell The GCP SDK
gcloud gsutil bq cbt
Cloud Deployment Manager Pricing Calculator Additional things to consider Summary Further reading
Section 5: Ensuring Solution and Operations Reliability Monitoring Your Infrastructure
Technical requirements Introduction to Stackdriver
Cost
Configuring Stackdriver Stackdriver Monitoring
Groups Dashboards Alerting policies Uptime checks Monitoring agents
Stackdriver Logging
Logs Viewer Basic log filtering Advanced filtering Exporting logs Logging agent Log-based metrics Cloud audit logs ACTIVITY Retention
APM
Trace Debugger Profiler
Error Reporting Summary Further reading
Section 6: Exam Focus Case Studies
Understanding how to approach exam case studies What are they looking for in the case studies?
Company overview Solution concept Business requirements Technical requirements Executive summary Forming a solution
The analytics platform The backend platform
Summary of Mountkirk
Additional case studies
TerramEarth
Analysis
Dress4Win
Analysis
Summary Further reading
Test Your Knowledge
Mock test 1 Mock test 2
Assessments
Answers to Mock Test 1 Answers to Mock Test 2
Other Books You May Enjoy
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