فهرست مطالب

• Cover
• Title Page
• Introduction
• Reader Support for This Book
• Chapter One: Infrastructure
• Chapter Two: Storage
• Chapter Three: Databases
• Relational Databases
• Nonrelational databases
• Which One Is Best?
• How to Set Up Cloud SQL
• Reliability and Availability
• Migrating an Existing MySQL Database to Cloud SQL
• Security and Compliance
• Cloud SQL in Action
• How Does Spanner Work?
• How Does Spanner Provide High Availability and Scalability?
• How Do Reads and Writes Work?
• How Does Spanner Provide Global Consistency?
• What Is Firestore?
• Document-Model Database
• How Do You Use Firestore?
• Some Cloud Bigtable Features
• Scale and High Availability (HA)
• How Does It Optimize Throughput?
• What are Your Application's Availability Needs?
• Features and Capabilities
• Use Cases
• Chapter Four: Data Analytics
• 5 Steps to Create a Data Analytics Pipeline
• How Does Pub/Sub Work?
• Pub/Sub Features
• Pub/Sub Use Cases
• Main Components
• How Does Cloud IoT Core Work?
• Design Principles of Cloud IoT Core
• Use Cases
• How Does Data Processing Work?
• How to Use Dataflow
• Dataflow Governance
• How Does Dataproc Work?
• Migrating HDFS Data from On-Premises to Google Cloud
• What Is Data Preparation?
• How Does Dataprep Work?
• BigQuery Unique Features
• How Does It Work?
• BigQuery Storage Internals
• Dremel: BigQuery’s query engine
• Security
• Cost
• Data Integration Capabilities
• How Does Data Catalog Wor?
• Data Catalog Architecture
• Data Governance
• How Does Cloud Composer Work?
• How to Run Workflows in Cloud Composer
• Cloud Composer Security Features
• How Does It Work?
• Connectivity Options
• Datastream Use Cases
• Looker's Platform
• In-Database Architecture
• Semantic Modeling Layer
• Cloud Native
• Capture
• Process
• Store
• Analyze
• Use
• Services Spanning the Pipeline
• Chapter Five: Application Development And Modernization Opening
• Building and Modernizing Cloud Applications
• Microservices or Monolith?
• What Do Most Microservices Need?
• Where to Begin?
• Should You Migrate to Google Cloud?
• Which Migration Path Is Right for You?
• Common Cloud Migration Use Cases
• Why Is Traditional Hybrid and Multicloud Difficult?
• How Does Anthos Make Hybrid and Multicloud Easy?
• Deployment Option 1: Google Cloud
• Deployment Option 2: VMware vSphere
• Deployment Option 3: Bare-Metal Servers
• Deployment Option 4: Anthos Attached Clusters
• Deployment Option 5: AWS
• Deployment Option 6: Microsoft Azure
• How Has the Application Development Landscape Changed?
• What Is Microservices Architecture?
• How Are Monolithic and Microservices Architectures Different?
• Microservices Use Cases
• Service Choreography and Service Orchestration
• Google Cloud Support for Service Orchestration
• Google Cloud Support for Service Choreography
• Additional Services That Help with Both Choreography and Orchestration
• What Is API Management?
• What Is Apigee?
• What is API Gateway?
• API Gateway Architecture
• What's the Difference Between API Gateway and Apigee API Management Platform?
• What Is the Operations Suite?
• What Does Cloud Operations Include?
• How Does Cloud Operations Work?
• Sample Application Architecture
• Chapter Six: Networking
• How Is the Google Cloud Physical Network Organized?
• Cloud Networking Services
• Premium Tier
• Standard Tier
• Choosing a Tier
• Cloud Interconnect and Cloud VPN
• Network Connectivity Center
• Peering
• CDN Interconnect
• Features of VPC Networks
• Shared VPC
• VPC Network Peering
• VPC Packet Mirroring
• How Does DNS Work?
• What Does Cloud DNS Offer?
• Hybrid Deployments: DNS Forwarding
• Hybrid Deployments: Hub and Spoke
• What Is Cloud Load Balancing?
• How Does Cloud Load Balancing Work?
• How to Use Global HTTP(S) Load Balancing
• How to Secure Your Application with Cloud Load Balancing
• How to Choose the Right Load-Balancing Option
• What Is Cloud CDN?
• How Does Cloud CDN Work?
• How to Use Cloud CDN
• Security
• How Is Cloud NAT Different from Typical NAT Proxies?
• Benefits of Using Cloud NAT
• NAT Rules
• Basic Cloud NAT Configuration Examples
• Network Topology
• Connectivity Tests
• Performance Dashboard
• Firewall Insights
• How Does a Typical Service Mesh Work in Kubernetes?
• How Is Traffic Director Different?
• How Does Traffic Director Support Proxy-less gRPC and VMs?
• How Does Traffic Director Work Across Hybrid and Multicloud Environments?
• Ingress and gateways
• Why Service Directory?
• How Service Directory Works with Load Balancer
• Using Cloud DNS with Service Directory
• Connect
• Scale
• Secure
• Optimize
• Modernize
• Chapter Seven: Data Science, Machine Learning, And Artificial Intelligence
• Data Engineering
• Data Analysis
• Model Development
• ML Engineering
• Insights Activation
• Orchestration
• Prepackaged AI Solutions
• Pretrained APIs
• BigQuery ML
• Vertex AI
• End-to-End Model Creation in Vertex AI
• What Does Vertex AI Include?
• AutoML Behind the Scenes
• How Do I Work with AutoML in Vertex AI?
• What Is MLOps?
• Vertex AI Pipelines
• Vertex AI Pipelines Under the Hood
• Vertex AI Pipelines Open Source Support
• Benefits of BigQuery ML
• Supported Models in BigQuery ML
• How to Use Vision AI
• What Can I Do with Vision API?
• How to Use Video AI
• What Can I Do with the Video Intelligence API?
• Use Case Scenarios
• What Is Translation AI?
• What If Your Business Has Specific Terms?
• AutoML Translation
• What Is the Media Translation API?
• How to Use Natural Language AI
• What Can I Do with the Natural Language API?
• What Can I Do with the Speech-to-Text API?
• How to Use the Speech-to-Text API
• What Is Contact Center AI?
• How Does Contact Center AI Work?
• What Is Document AI?
• How to Use Document AI
• Sample Document AI Architecture
• Vertical Solutions
• What Is Recommendations AI?
• Sample Customer Journey with Recommendations AI
• How Does Recommendations AI Work?
• Data Engineering
• Data Analysis
• Model Development
• ML Engineering
• Insights Activation
• Orchestration
• Chapter Eight: Security
• Cloud Security Is Shared Fate
• Infrastructure Security
• Network Security
• Application Security
• Secure Software Supply Chain Security
• Data Security
• Identity and Access Management
• Endpoint Security
• Security Monitoring and Operations
• Governance, Risk, and Compliance
• Defense in Depth at Scale
• End-to-End Provenance and Attestation
• Application Security
• Risk Points for a Software Supply Chain
• How Does Google Secure the Software Supply Chain Internally?
• What is SLSA?
• How Does Google Cloud Help You Secure Your Software Supply Chain?
• Encryption
• At-Rest Encryption Options
• Other Data Security Services
• What Is DLP?
• How Does It Work?
• A Variety of Deidentification Techniques
• What Is Cloud Identity?
• Authentication Options
• User experience
• Advantages
• What Is Cloud IAM?
• Cloud IAM best practices
• What Are Service Accounts?
• Service Account Types
• Service Account Credentials
• Service Account Best Practices
• What Is BeyondCorp?
• What Is BeyondCorp Enterprise?
• How Does BeyondCorp Enterprise Work?
• What Is Security Command Center?
• How Does Security Command Center work?
• Infrastructure Security
• Network Security
• Application Security
• Software Supply Chain Security
• Data Security
• Identity and Access Management (IAM)
• Endpoint Security
• Security Monitoring and Operations
• Governance, Risk, and Compliance
• Copyright
• Dedication
• Acknowledgments
• About The Author
• End User License Agreement