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Professional Cloud Architect Google Cloud Certification Guide - Second Edition

Google Cloud Platform (GCP) is one of the industry leaders thanks to its array of services that can be leveraged by organizations to bring the best out of their infrastructure. This book is a comprehensive guide for learning methods to effectively utilize GCP services and help you become acquainted with the topics required to pass Google's Professional Cloud Architect certification exam.

Following the Professional Cloud Architect's official exam syllabus, you'll first be introduced to the GCP. The book then covers the core services that GCP offers, such as computing and storage, and takes you through effective methods of scaling and automating your cloud infrastructure. As you progress through the chapters, you'll get to grips with containers and services and discover best practices related to the design and process. This revised second edition features new topics such as Cloud Run, Anthos, Data Fusion, Composer, and Data Catalog.

By the end of this book, you'll have gained the knowledge required to take and pass the Google Cloud Certification - Professional Cloud Architect exam and become an expert in GCP services.

Professional Cloud Architect Google Cloud Certification Guide
Second Edition
Foreword
Contributors
About the authors
About the reviewers
Preface
- Who this book is for
- What this book covers
- To get the most out of this book
- Download the color images
- Conventions used
- Get in touch
- Share Your Thoughts
Section 1: Introduction to GCP
Chapter 1: GCP Cloud Architect Professional
- Understanding the benefits of being a certified architect
- Registering for the exam
- What to expect from the exam
  - Online proctored exams
- Suggested hints and tips
- Summary
- Further reading
Chapter 2: Getting Started with Google Cloud Platform
- Introducing the cloud
- Understanding GCP
  - GCP differentiators
  - GCP locations
  - Resource manager
- Summary
- Further reading
Chapter 3: Google Cloud Platform Core Services
- Understanding computing and hosting services
- Exploring storage services
- Getting to know about networking services
- Going through big data services
- Understanding machine learning services
- Learning about identity services
- Summary
- Further reading
Section 2: Manage, Design, and Plan a Cloud Solution Architecture
Chapter 4: Working with Google Compute Engine
- Deploying our first GCE instance
- Deployment options
  - Region
  - Zone
  - Boot disk
  - Snapshots
  - Existing disks
  - Labels
  - Confidential VM service
  - Container
  - Deletion protection
  - Reservations
  - Metadata
  - Startup scripts
  - Preemptibility
  - Availability policy
  - Automatic restart
  - Shielded VM
  - Deletion rule
  - Node affinity labels
  - GPUs and TPUs
- Instance templates and instance groups
  - Setting the location
  - Port name mapping
- Autoscaling
- Autohealing
- Containers on Compute Engine
  - Running a simple Windows container on Compute Engine
  - A quick look at Google Cloud VMware Engine
  - Use cases
- Quotas and limits
  - IAM roles
- Pricing
- Summary
- Further reading
Chapter 5: Exploring Google App Engine as a Compute Option
- 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
Chapter 6: Managing Kubernetes Clusters with Google Kubernetes Engine
- An introduction to microservices
- Containers
- Kubernetes
  - Kubernetes architecture
  - Kubernetes objects
- Google Kubernetes Engine
  - GKE Autopilot
  - Node pools
  - Container-Optimized OS (COS)
  - Storage
  - GKE cluster management
  - Creating a GKE cluster
  - IAM
  - Kubernetes role-based access control
  - Artifact Registry
  - Cloud Build
  - Best practices for building containers
  - Quotas and limits
  - Pricing
- Summary
- Further reading
Chapter 7: Deploying Cloud-Native Workloads with Cloud Run
- Using Cloud Run
  - Cloud Run containers
- Cloud Run triggers
  - Deploying to Cloud Run
  - Deploying a new revision
- Mapping custom domains
  - IAM roles
  - Quotas and limits
- Pricing
- Summary
- Further reading
Chapter 8: Managing Cloud-Native Workloads with Anthos
- Anthos components
  - Anthos clusters
  - Anthos Connect Agent
  - Fleets (formerly environs)
- Anthos cluster deployment options
  - Anthos clusters on VMware (GKE on-prem)
  - Anthos on AWS
  - Anthos on Azure
  - Anthos clusters on bare metal
- Anthos Config Management
- Service management with Anthos Service Mesh
  - Istio
  - Using Anthos Service Mesh
  - Summary of Anthos Service Mesh
- Anthos Binary Authorization
- Migrate for Anthos and GKE
  - Cloud Run for Anthos
  - Quotas and limits
  - Pricing
- Summary
- Further reading
Chapter 9: 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
- IAM
- Quotas and limits
- Pricing
- Summary
- Further reading
Chapter 10: Networking Options in GCP
- Exploring GCP networking
- Understanding Virtual Private Clouds
  - Connectivity
  - Cost
  - VPC Flow Logs
  - Cross-VPC connectivity
- 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
  - Network Connectivity Center
- DNS
  - DNS resolution
  - Cloud DNS
  - DNSSEC
- VPC firewall rules
  - Default rules
  - Implied rules
  - Always allowed traffic rules
  - Always denied rules
  - User-defined rules
  - Firewall logging
- Hierarchical firewall policies
- Private access options
- Summary
- Further reading
Chapter 11: Exploring Storage and Database Options in GCP Part 1
- Choosing the right storage option
  - Data consistency
- Understanding Cloud Storage
  - Bucket locations
  - Storage classes
  - Data consistency
  - Cloud Storage FUSE
  - Creating and using a bucket
  - Versioning and life cycle management
  - Transferring data
  - Cloud Storage Transfer Service
  - Understanding IAM
  - Quotas and limits
  - Pricing
- Understanding Cloud Firestore
  - Creating and using Cloud Datastore
  - Summary of Datastore mode versus Native mode
  - IAM
  - Quotas and limits
  - Pricing
- Understanding Cloud SQL
  - Data consistency
  - Creating and managing Cloud SQL
  - Read replicas
  - High availability
  - Backup and recovery
  - Database migration service
  - Instance cloning
  - IAM
  - Quotas and limits
  - Pricing
- Summary
- Further reading
Chapter 12: Exploring Storage and Database Options in GCP Part 2
- Cloud Spanner
  - Instance configurations
  - Node count
  - Processing units
  - Replication
  - TrueTime
  - Data consistency
  - Encryption
  - Point-in-time recovery
  - Creating a Cloud Spanner instance
  - IAM
  - Quotas and limits
  - Pricing
- Bigtable
  - Bigtable configuration
  - Data consistency
  - Planning capacity
  - Creating a Bigtable instance and table
  - IAM
  - Quotas and limits
  - Pricing
- Summary
- Further reading
Chapter 13: Analyzing Big Data Options
- End-to-end big data solution
- Cloud Pub/Sub
  - Creating a topic and a subscription
  - Pub/Sub Lite
  - IAM
  - Quotas and limits
  - Pricing
- Cloud Dataflow
  - IAM
  - Quotas and limits
  - Pricing
- BigQuery
  - BigQuery features
  - Using BigQuery
  - IAM
  - Quotas and limits
  - Pricing
- Dataproc
  - Architecture
  - IAM
  - Quotas and limits
- Cloud IoT Core
  - IAM
  - Quotas and limits
  - Pricing
- Data Fusion
  - Core concepts
  - IAM
  - Quotas and limits
  - Pricing
- Datastream API
- Additional considerations
- Summary
- Further reading
Chapter 14: 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 Vertex AI
  - Using Vertex AI
  - Cloud TPUs
- 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 Cloud Video Intelligence API
- Dialogflow
- AutoML
- Summary
- Further reading
Section 3: Secure, Manage and Monitor a Google Cloud Solution
Chapter 15: Security and Compliance
- Introduction to security
  - Shared responsibility model
- Cloud Identity
- Resource Manager
- Identity and Access Management (IAM)
  - Service accounts
  - Cloud Storage access management
  - Organization Policy Service
- Firewall rules and load balancers
- Cloud Web Security Scanner
- Monitoring and logging
- Encryption
  - Data encryption keys versus key encryption keys
  - CMEKs versus CSEKs
- Industry regulations
  - PCI compliance
  - Data loss prevention (DLP)
  - Penetration testing in GCP
  - CI/CD security overview
  - Identity-Aware Proxy (IAP)
  - TCP forwarding
  - Access Context Manger
  - Chronicle
- Summary
- Additional security services
  - Security Command Center (SCC)
  - Forseti
  - Cloud Armor
  - Secret Manager
- Summary
- Further reading
Chapter 16: Google Cloud Management Options
- Using APIs to manage resources
- Using Google Cloud Shell
- The GCP SDK
  - gcloud
  - gsutil
  - bq
  - cbt
- Exploring Cloud Deployment Manager
- Terraform
- Cloud Foundation Toolkit
- Pricing Calculator
- Additional things to consider
- Summary
- Further reading
Chapter 17: Monitoring Your Infrastructure
- Technical requirements
- Introduction to Google Clouds operations suite
  - Cost
- Configuring Google Cloud's operations suite
- Cloud Monitoring
  - Groups
  - Dashboards
  - Alerting policies
  - Uptime checks
  - Monitoring agents
- Cloud Logging
  - Legacy Logs Viewer
  - Logs Explorer
  - Exporting logs
  - Logging agent
  - Ops Agent
  - Log-based metrics
  - Cloud Audit Logs
  - Activity
  - Retention
- Google Cloud's operations suite for GKE
  - GKE dashboard
- APM
  - Trace
  - Debugger
  - Profiler
- Error Reporting
- Summary
- Further reading
Section 4: Exam Focus
Chapter 18: Case Studies
- Understanding how to approach the exam case studies
- What are we looking for in the case studies?
  - Company overview
  - Solution concept
  - Existing technical environment
  - Business requirements
  - Technical requirements
  - Executive summary
  - Forming a solution
  - Summary of Mountkirk
- Additional case studies
  - EHR Healthcare
  - TerramEarth
  - Helicopter Racing League
- Summary
- Further reading
Chapter 19: Test Your Knowledge
- Mock test one
- Mock test two
- Mock test three
- Mock test four
- Answers to mock test one
- Answers to mock test two
- Answers to mock test three
- Answers to mock test four
- Why subscribe?
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Tytuły: Professional Cloud Architect Google Cloud Certification Guide - Second Edition
Autor: Konrad Cłapa, Brian Gerrard
Tytuł oryginału: Professional Cloud Architect Google Cloud Certification Guide - Second Edition
ISBN Ebooka: 9781801811415, 9781801811415
Data wydania: 2021-12-23
Identyfikator pozycji: e_2t45
Kategorie:
Ebooki » Informatyka » Programowanie » Programowanie w chmurze
Wydawca: Packt Publishing

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