The Definitive Guide to Modernizing Applications on Google Cloud

Spis treści książki

• The Definitive Guide to Modernizing Applications on Google Cloud
• Contributors
• About the authors
• About the reviewer
• Preface
  • Who this book is for
  • What this book covers
  • To get the most out of this book
  • Download the example code files
  • Download the color images
  • Conventions used
  • Get in touch
  • Reviews
  • Share Your Thoughts
• Section 1: Cloud-Native Application Development and App Modernization in Google Cloud
• Chapter 1: Cloud-Native Application Fundamentals
  • The cloud-native ecosystem
  • Benefits of cloud-native applications
    • Increased speed of delivery
    • Increased scalability
    • Increased resiliency
    • Mixed technology stack and workforce
    • Continuous integration and delivery
    • Increased automation
  • Principles of cloud-native architecture
    • Principle 1 lightweight microservices
    • Principle 2 leveraging automation
    • Principle 3 DevOps culture
    • Principle 4 better to go managed
    • Principle 5 innovate
    • Limitations of microservices
  • Applying the 12-factor app principles on Google Cloud
    • Code base
    • Dependencies
    • Config
    • Backing services
    • Build, release, run
    • Processes
    • Port binding
    • Concurrency
    • Disposability
    • Dev/prod parity
    • Logs
    • Admin processes
  • Summary
• Chapter 2: End-to-End Extensible Tooling for Cloud-Native Application Development
  • Moving past third-party services the beauty of end-to-end tooling
  • Google Cloud Code
    • Features and benefits of Cloud Code
    • The role of Cloud Code in the cloud-native app development pipeline
  • Google Cloud Build
    • Features and benefits of Cloud Build
    • The role of Cloud Build in the cloud-native app development pipeline
  • Google Container Registry
    • Features and benefits of GCR
    • The next-gen container registry Artifact Registry
    • The role of GCR in the cloud-native app development pipeline
  • Google Cloud Run
    • Features and benefits of Cloud Run
    • The role of Google Cloud Run in the cloud-native app development pipeline
  • Google Kubernetes Engine
    • Features and benefits of GKE
    • The role of GKE in the cloud-native app development pipeline
  • Operations suite
    • Features of Google Cloud Monitoring
    • Features of Google Cloud Logging
    • The role of the Cloud operations suite in the cloud-native app development pipeline
  • Summary
• Chapter 3: Cloud-Native Architecture Patterns and System Architecture Tenets
  • Cloud-native patterns
    • The scope of cloud-native patterns
  • Solving challenges with cloud-native patterns
    • Be proactive, not reactive
    • Scaling and performance
    • Deployments
    • Resiliency and availability
    • Monitoring
    • Security
  • Cloud-native design patterns
    • Microservices
    • Strangler applications
    • Decomposition patterns
    • Event-driven patterns
    • Command Query Responsibility Segregation
    • The saga pattern
    • Multiple service instances
    • Canary deployments
    • Stateless services
    • Immutable infrastructure
    • Anti-corruption layer
    • API composition
    • Event sourcing
    • The Retry pattern
    • Circuit breaker pattern
    • The bulkhead pattern
    • Using the cloud-native pattern judiciously
  • Hybrid and multi-cloud architecture recommendations
    • Distributed deployment patterns
    • Redundant deployment patterns
  • Summary
• Section 2: Selecting the Right Google Cloud Services
• Chapter 4: Choosing the Right Compute Option
  • Five compute options and Firebase
    • Firebase
    • Cloud Functions
    • GAE
    • Cloud Run
    • GKE
    • GCE
    • Pricing
  • How important is it to choose the right option?
    • Changing compute options
    • Making a decision
  • Summary
• Chapter 5: Choosing the Right Database and Storage
  • Storage and database options on Google Cloud the big three
    • GCS basics
    • GCS
    • Cloud SQL
    • Cloud Firestore (previously Datastore)
    • Cloud Spanner
    • Cloud Bigtable
    • Wrapping up the big five
  • Additional storage and database options
    • BigQuery
    • Filestore
    • Persistent disks/local solid-state drive (SSD) (block storage)
    • MemoryStore
  • Security and flexibility
  • Summary
• Chapter 6: Implementing a Messaging and Scheduling System
  • Understanding the requirements of a messaging system
    • Requirement #1: Scalability
    • Requirement #2: Extensibility
    • Requirement #3: Agility
    • Requirement #4: Resiliency
  • Introduction to asynchronous messaging
    • Messaging products available (open source and cloud native) on the market
    • Amazon SQS
    • Kafka
    • RabbitMQ
    • NATS Streaming
    • Advantages of asynchronous messaging
  • Introduction to Pub/Sub
    • What is Cloud Pub/Sub?
    • Pub/Sub key features
    • Additional benefits
    • Pub/Sub Concepts topics and subscriptions
    • Pub/Sub model fan-in and fan-out
    • Pull versus push types differences and when to use each type
    • Getting started with Cloud Pub/Sub
  • Introduction to Cloud Tasks
  • Introduction to Cloud Scheduler
  • Summary
• Chapter 7: Implementing Cloud-Native Security
  • The principles and concepts of cloud security
    • Economy of Mechanism
    • Defense in Depth
    • Principle of Least Privilege
    • Adding infrastructure security layers (revision)
  • Cloud IAM
    • Traditional access control versus Cloud IAM
  • Concepts of IAM
    • Entity
    • Identity
    • Permissions
    • Policy
    • Authentication and authorization
  • Cloud IAM on Google Cloud Platform
    • Features of Cloud IAM
  • Components of Cloud IAM
    • Members
    • All authenticated users
    • All users
    • Resources
    • Permissions
    • Roles
    • IAM policy bindings
  • Limitations of Cloud IAM
  • Cloud Identity
    • Features of Cloud Identity
    • Setting up Cloud Identity
  • Cloud Identity Platform
    • Features of Cloud Identity Platform
  • BeyondCorp (a new approach to enterprise security)
  • Cloud Identity-Aware Proxy (IAP)
  • Summary
• Section 3: Rehosting and Replatforming the Application
• Chapter 8: Introducing the Legacy Application
  • Technical requirements
  • The infrastructure architecture
  • The software architecture
    • Spring Boot
    • Thymeleaf
    • Bootstrap
    • jQuery
  • Explaining the software architecture
  • Implementing the software
    • Spring Boot configuration
  • Understanding the layers of the application
    • The presentation layer
    • The controller layer
    • The domain layer
  • Validation and defensive programming
  • Summary
• Chapter 9: The Initial Architecture on Google Compute Engine
  • Technical requirements
  • The initial infrastructure design
    • Designing our network
    • Designing our network security
  • Creating the modernization project
  • Implementing the network
  • Implementing the VMs
  • Importing the data
  • Summary
• Chapter 10: Addressing Scalability and Availability
  • Technical Requirements
  • Designing for scalability and availability
  • Using instance templates
  • Using managed instance groups
  • Using an HTTP(S) load balancer
  • Summary
• Chapter 11: Re-Platforming the Data Layer
  • Designing for scalability and availability
  • Using Cloud Memorystore
    • Provisioning a Cloud Memorystore instance
    • Updating the Regional Managed Instance Group
  • Using Cloud SQL
  • Using Cloud SQL Proxy
  • Using Cloud Spanner
    • Provisioning Cloud Spanner
    • Updating the build
    • Updating the application settings
  • Importing data into Cloud SQL
    • Exporting data from our MySQL virtual machine
    • Importing to Cloud SQL
    • Cloud SQL versus Cloud Spanner
  • Summary
• Chapter 12: Designing the Interim Architecture
  • The infrastructure architecture
    • Google Identity Platform
    • Cloud Pub/Sub
  • The software architecture
    • Refactoring the frontend and exposing REST services
    • Adding Google Identity Platform for identity and authentication
    • Publishing events
    • Consuming events
    • Refactoring to microservices
    • Microservice boundaries
  • Summary
• Chapter 13: Refactoring to Microservices
  • Technical requirements
  • Analyzing the structure of the application backend
  • Refactoring into microservices
  • Refactoring the database
  • The web frontend
  • The Strangler Pattern revisited
    • Google HTTP(S) Load Balancer Routing
    • Google App Engine Dispatcher
    • Apigee API Manager
  • Containerizing the deployment units with Docker
  • Summary
• Section 4: Refactoring the Application on Cloud-Native/PaaS and Serverless in Google Cloud
• Chapter 14: Refactoring the Frontend and Exposing REST Services
  • Technical requirements
  • Creating REST controllers
  • Creating an AngularJS web frontend
    • Modules
    • Components
    • Routing
    • Services
  • Authenticating in the web frontend
    • Setting up Firebase and Google Identity Platform
    • Initializing Firebase Authentication
    • Router updates
    • The authentication cycle
    • The signout controller
  • Validating the authentication token in the REST controllers
    • The authentication filter
  • Summary
• Chapter 15: Handling Eventual Consistency with the Compensation Pattern
  • Technical requirements
  • The distributed transaction problem
  • The compensation pattern
  • Creating topics and subscriptions with Google Cloud Pub/Sub
  • Implementing eventual consistency and the compensation pattern
  • Deploying and testing the application
  • Summary
• Chapter 16: Orchestrating Your Application with Google Kubernetes Engine
  • Technical requirements
  • Introducing GKE
    • Modes of operation
    • Creating a GKE cluster
  • Configuring the environment
    • Kubernetes ConfigMaps and Secrets
  • Deploying and configuring the microservices
    • Kubernetes Pods
    • Kubernetes ReplicaSets
    • Kubernetes Deployments
    • Kubernetes Horizontal Pod Autoscalers
    • Kubernetes Services
    • Automating the deployment of our components
  • Configuring public access to the application
    • Kubernetes-managed certificates
    • Kubernetes Ingress
  • When to use GKE
  • Summary
• Chapter 17: Going Serverless with Google App Engine
  • Technical requirements
  • Introducing Google App Engine
    • Google App Engine standard environment
    • Google App Engine flexible environment
    • Components of App Engine and the hierarchy of an application deployed on App Engine
  • Deploying containers to the App Engine flexible environment
    • Application configuration updates
    • Deployment configuration
    • Automating deployment
  • When to use Google App Engine
  • Summary
• Chapter 18: Future Proofing Your App with Google Cloud Run
  • Technical requirements
  • Cloud Run
    • The Knative stack
    • Cloud Run environments
  • Deploying containers to Google Cloud Run
    • Frontend configuration
    • Service manifest
    • Google Cloud Build
    • Domain name mapping
  • When to use Cloud Run
  • Summary
• Appendix A: Choosing the Right Migration Strategy
  • Step 1 assess
    • Cataloging existing applications
    • Educating teams
    • Choosing what to migrate first
    • Capable and innovative teams
    • The effort required for migration
    • License restrictions and compliance
    • Can afford downtime
  • Step 2 plan
    • Migration paths versus migration strategies
    • Choosing the right migration path
  • Step 3 migrate
    • Transferring your data
    • Deploying workloads
    • Setting up automated and containerized deployments
  • Step 4 optimize
    • Letting internal teams takeover
    • Setting up monitoring
    • Leveraging managed services and automation
    • Cost and performance
• Appendix B: Application Modernization Solutions
  • Modernizing Java apps
    • What is Google Anthos?
  • Preparing to modernize Java apps
    • Phase 1 containerizing Java applications
    • Phase 2 Refactoring and re-platforming
  • Modernization strategies (the 6 Rs of modernization)
    • Retire, retain, and re-architect
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