coverpage
Title Page
Credits
About the Author
Acknowledgments
About the Reviewer
www.PacktPub.com
Why subscribe?
Customer Feedback
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Downloading the example code
Downloading the color images of this book
Errata
Piracy
Questions
Demystifying Microservices
Evolution of microservices
Business demand as a catalyst for microservices evolution
Technology as a catalyst for microservices evolution
Imperative architecture evolution
What are Microservices?
Microservices - The honeycomb analogy
Principles of microservices
Single responsibility per service
Microservices are autonomous
Characteristics of microservices
Services are first class citizens
Characteristics of service in a microservice
Microservices are lightweight
Microservices with polyglot architecture
Automation in microservices environment
Microservices with a supporting ecosystem
Microservices are distributed and dynamic
Antifragility fail fast and self healing
Microservices examples
An example of a holiday portal
An example of a travel agent portal
Microservices benefits
Supports polyglot architecture
Enables experimentation and innovation
Elastically and selectively scalable
Allows substitution
Enables to build organic systems
Helps managing technology debt
Allowing co-existence of different versions
Supporting building self-organizing systems
Supporting event-driven architecture
Enables DevOps
Summary
Related Architecture Styles and Use Cases
Service-Oriented Architecture (SOA)
Service-oriented integration
Legacy modernization
Service-oriented application
Monolithic migration using SOA
Twelve-Factor Apps
Single code base
Bundle dependencies
Externalizing configurations
Backing services are addressable
Isolation between build release and run
Stateless shared nothing processes
Expose services through port bindings
Concurrency for scale out
Disposability with minimal overhead
Development production parity
Externalizing logs
Package admin processes
Serverless computing
Lambda architecture
DevOps Cloud and Containers
DevOps as the practice and process for microservices
Cloud and Containers as the self-service infrastructure for microservices
Reactive microservices
A reactive microservice-based order management system
Microservice use cases
Microservices early adopters - Is there a common theme?
Monolithic migration as the common use case
Microservice frameworks
Summary
Building Microservices with Spring Boot
Setting up a development environment
Spring Boot for building RESTful microservices
Getting started with Spring Boot
Developing a Spring Boot microservice
Developing our first Spring Boot microservice
Testing Spring Boot microservice
HATEOAS-enabled Spring Boot microservice
Reactive Spring Boot microservices
Reactive microservices using Spring WebFlux
Understanding Reactive Streams
Publisher
Subscriber
Subscription
Processor
Reactive microservices using Spring Boot and RabbitMQ
Implementing security
Securing a microservice with basic security
Securing microservice with OAuth2
Enabling cross origin for microservices interactions
Spring Boot actuators for microservices instrumentation
Monitoring using JConsole
Monitoring using ssh
Adding a custom health module
Building custom metrics
Documenting microservices
Putting it all together - Developing a customer registration microservice example
Summary
Applying Microservices Concepts
Microservice design guidelines
Deciding microservice boundaries
Autonomous functions
Size of the deployable unit
Most appropriate function or sub-domain
Polyglot architecture
Selective scaling
Agile teams and co-development
Single responsibility
Replicability or changeability
Coupling and cohesion
Think of the microservice as a product
Designing communication styles
Synchronous style communication
Asynchronous style communication
How to decide which style to choose?
Orchestration of microservices
How many endpoints - one or many?
How many microservices per VM - one or multiple?
Rules engine - shared or embedded?
Role of BPM and workflows
Can microservices share a data store?
Can microservices be headless?
Deciding transaction boundaries
Altering use cases to simplify transactional requirements
Distributed transaction scenarios
Service endpoint design consideration
Contract design
Protocol selection
Message oriented services
HTTP and REST endpoints
Optimized Communication Protocols
API documentations
Handling shared libraries
User interfaces in microservices
Use of API gateways in microservices
Use of ESB and iPaaS with microservices
Service versioning considerations
Design for cross origin
Handling shared reference data
Microservices and bulk operations
Summary
Microservices Capability Model
Microservices capability model
Core capabilities
Service listeners and libraries
Storage capability
Service implementation
Service endpoint
Infrastructure capabilities
Cloud
Container runtime
Container orchestration
Supporting capabilities
Service gateway
Software-defined load balancer
Central log management
Service discovery
Security service
Service configuration
Ops monitoring
Dependency management
Data lake
Reliable messaging
Process and governance capabilities
DevOps
Automation tools
Container registry
Microservice documentation
Reference architecture and libraries
Microservices maturity model
Level 0 - Traditional
Level 1 - Basic
Level 2 - Intermediate
Level 3 - Advanced
Entry points for adoption
Summary
Microservices Evolution – A Case Study
Understanding the PSS application
Business process view
Functional view
Architecture view
Design view
Implementation view
Deployment view
Death of the monolith
Pain points
Stopgap fix
Retrospection
Precedence on data sharing over modularity
Single monolithic database
Native queries
Stored procedures
Compromised on domain boundaries
Microservices to the rescue - a planned approach for migration
The business case
Migration approach
Identification of microservices' boundaries
Analyze dependencies
Events as opposed to query
Events as opposed to synchronous updates
Challenge requirements
Challenge service boundaries
Final dependency graph
Prioritizing microservices for migration
Data synchronization during migration
Managing reference data
User interfaces and web applications
Session handling and security
Test strategy
Building ecosystem capabilities
Migrate modules only if required
Internal layering of microservices
Orchestrating microservices
Integration with other systems
Managing shared libraries
Handling exceptions
Target implementation
Implementation projects
Running and testing the project
Potential next steps
Summary
Scale Microservices with Spring Cloud Components
What is Spring Cloud?
Spring Cloud releases
Setting up the environment for the BrownField PSS
Spring Cloud Config
Building microservices with Config Server
Setting up the Config Server
Understanding the Config Server URL
Accessing the Config Server from clients
Handling configuration changes
Spring Cloud Bus for propagating configuration changes
Setting up high availability for the Config Server
Monitoring Config Server health
Config Server for configuration files
Completing changes to use Config Server
Eureka for registration and discovery
Understanding dynamic service registration and discovery
Understanding Eureka
Setting up the Eureka Server
High availability for Eureka
Zuul proxy as the API Gateway
Setting up Zuul
High availability of Zuul
High availability of Zuul when the client is also a Eureka Client
High availability when client is not a Eureka Client
Completing Zuul for all other services
Streams for reactive microservices
Protecting microservices with Spring Cloud Security
Summarising the BrownField PSS architecture
Summary
Logging and Monitoring Microservices
Understanding log management challenges
Centralized logging solution
Selection of logging solutions
Cloud services
Off-the-shelf solutions
Best of the breed integration
Log shippers
Log stream processors
Log storage
Dashboards
Custom logging implementation
Distributed tracing with Spring Cloud Sleuth
Monitoring microservices
Monitoring challenges
Monitoring tools
Monitoring microservice dependency
Spring Cloud Hystrix for fault-tolerant microservices
Aggregate Hystrix streams with Turbine
Data analysis using Data Lake
Summary
Containerizing Microservices with Docker
Understanding gaps in the BrownField PSS microservices
What are containers?
Difference between VM and containers
Benefits of containers
Microservices and containers
Introduction to Docker
Key components of Docker
The Docker daemon
The Docker client
The Docker image
The Docker container
The Docker registry
Dockerfile
Deploying microservices into Docker
Running RabbitMQ on Docker
Using the Docker registry
Setting up the Docker Hub
Publish microservices to the Docker Hub
Microservices on Cloud
Installing Docker on AWS EC2
Running BrownField services on EC2
Future of containerization
Summary
Scaling Dockerized Microservices with Mesos and Marathon
Scaling microservices
Understanding autoscaling
The missing pieces
Container orchestration
Why is container orchestration is important
What does container orchestration do?
Relationship with microservices
Relationship with virtualization
Container orchestration solutions
Docker Swarm
Kubernetes
Apache Mesos
HashiCorp Nomad
CoreOS Fleet
Container orchestration with Mesos and Marathon
Mesos in details
Mesos architecture
Marathon
Implementing Mesos and Marathon with DCOS
Implementing Mesos and Marathon for BrownField microservices
Installing Mesos Marathon and related components
Running Mesos and Marathon
Preparing BrownField PSS services
Deploying BrownField PSS services
Summary
Microservice Development Life Cycle
Practice points for microservice development
Understanding business motivation and value
Change the mindset from project to product development
Choosing the right development philosophy
Using the concept of minimum viable product (MVP)
Overcoming the legacy hotspot
Establishing self-organizing teams
Building the self-service cloud
Building a microservices ecosystem
DevOps as a life cycle process
Value driven planning
Continuous monitoring and feedback
Automating development cycle
Development
Integration
Testing
Sanity tests
Regression testing
Functional testing
Acceptance testing
Performance testing
Real user flow simulation or Journey testing
Security testing
Exploratory testing
A/B testing Canary testing and blue-green deployments
Other non-functional tests
Testing in production (TiP)
Antifragility testing
Deployment
Monitoring and feedback
Configuration management
Microservices development governance reference architectures and libraries
Summary
更新时间：2021-07-02 19:46:00
完结共372章
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