Solutions Architect's Handbook - Second Edition

Spis treści książki

• Preface
  • Who this book is for?
  • What this book covers
  • To get the most out of this book
    • Get in touch
  • The Meaning of Solution Architecture
    • What is solution architecture?
    • The evolution of solution architecture
    • Why is solution architecture important?
    • The benefits of solution architecture
      • Addressing the business needs and quality of delivery
      • Selecting the best technology platform
      • Addressing solution constraints and issues
      • Helping in resource and cost management
      • Managing solution delivery and project life cycle
      • Addressing non-functional requirements
    • Solution architecture in the public cloud
      • What is the public cloud?
      • Public clouds, private clouds, and hybrid clouds
      • The public cloud architecture
      • Thinking cloud-native architecture
      • Public cloud providers and cloud service offerings
    • Summary
  • Solution Architects in an Organization
    • Types of roles for a solution architect
      • Generalist solution architect roles
        • Enterprise solution architect
        • Solution architect
        • Technical architect
        • Cloud architect
        • Architect evangelist
      • Specialist solution architect roles
        • Infrastructure architect
        • Network architect
        • Data architect
        • Machine learning architect
        • Security architect
        • DevOps architect
    • Understanding a solution architects responsibilities
      • Analyzing user requirements
      • Defining non-functional requirements
      • Engaging and working with stakeholders
      • Handling various architecture constraints
      • Making technology selections
      • Developing a proof of concept and a prototype
      • Designing solutions and staying through delivery
      • Ensuring post-launch operability and maintenance
      • Working as a technology evangelist
    • Solution architects in an agile organization
      • Why the agile methodology?
      • Agile manifesto
      • Agile process and terminology
        • Scrum ceremonies
        • Agile tools and terms
        • Agile versus waterfall
        • Agile architecture
    • Summary
  • Attributes of the Solution Architecture
    • Scalability and elasticity
      • The capacity dilemma in scaling
    • Scaling your architecture
    • Static content scaling
      • Server fleet elasticity
      • Database scaling
    • High availability and resiliency
    • Fault tolerance and redundancy
    • Disaster recovery and business continuity
    • Extensibility and reusability
    • Usability and accessibility
    • Portability and interoperability
    • Operational excellence and maintainability
    • Security and compliance
      • Authentication and authorization
      • Web security
      • Network security
      • Infrastructure security
      • Data security
    • Cost optimization and budget
    • Summary
  • Principles of Solution Architecture Design
    • Scaling workloads
      • Predictive scaling
      • Reactive scaling
    • Building a resilient architecture
    • Design for performance
    • Using replaceable resources
      • Creating immutable infrastructure
        • Canary testing
    • Think loose coupling
    • Think service not server
    • Using the right storage for the right requirements
    • Think data-driven design
    • Overcoming architectural constraints
    • Taking the minimum viable product approach
    • Adding security everywhere
    • Applying automation everywhere
    • Summary
  • Cloud Migration and Hybrid Cloud Architecture Design
    • Benefits of cloud native architecture
    • Popular public cloud choices
    • Creating a cloud migration strategy
      • Lift and Shift migration
        • Rehost
        • Replatform
        • Relocate
      • The cloud native approach
        • Refactor
        • Repurchase
      • Retain or retire
        • Retain
        • Retire
    • Choosing a cloud strategy
    • Steps for cloud migration
      • Discovering your workload
      • Analyzing the information
      • Creating a migration plan
      • Designing the application
      • Performing application migration to the cloud
        • Data migration
        • Server migration
      • Integration, validation, and cutover
        • Live migration cutover
      • Operating the cloud application
      • Application optimization in the cloud
    • Creating hybrid cloud architecture
    • Taking a multi-cloud approach
    • Designing cloud native architecture
    • Summary
    • Further reading
  • Solution Architecture Design Patterns
    • Building an n-tier layered architecture
      • The web layer
      • The application layer
      • The database layer
    • Creating a multi-tenant SaaS-based architecture
    • Building stateless and stateful architecture designs
    • Understanding service-oriented architecture
      • SOAP web service architecture
      • RESTful web service architecture
      • Building an SOA-based e-commerce website architecture
    • Building a serverless architecture
    • Creating a microservice architecture
      • Real-time voting application reference architecture
    • Building a queue-based architecture
      • Queuing chain pattern
      • Job observer pattern
    • Creating an event-driven architecture
      • Publisher/subscriber model
      • Event stream model
    • Building a cache-based architecture
      • Cache distribution pattern in a three-tier web architecture
      • Rename distribution pattern
      • Cache proxy pattern
      • Rewrite proxy pattern
      • App caching pattern
        • Memcached versus Redis
    • Understanding the circuit breaker pattern
    • Implementing the bulkheads pattern
    • Creating a floating IP pattern
    • Deploying an application with a container
      • The benefit of containers
      • Container deployment
      • Building container-based architecture
    • Database handling in application architecture
      • High-availability database pattern
    • Avoiding anti-patterns in solution architecture
    • Summary
  • Performance Considerations
    • Design principles for architecture performance
      • Reducing latency
      • Improving throughput
      • Handling concurrency
      • Applying caching
    • Technology selection for performance optimization
      • Making a computational choice
        • Selecting the server instance
        • Working with containers
        • Going serverless
      • Choosing storage
        • Working with block storage and storage area network
        • Working with file storage and network area storage
        • Working with object storage and cloud data storage
      • Choosing the database
        • Online transactional processing
        • Nonrelational databases
        • Online analytical processing
        • Building a data search functionality
      • Improving network performance
        • Defining a DNS routing strategy
        • Implementing a load balancer
        • Applying auto-scaling
    • Managing performance monitoring
    • Summary
  • Security Considerations
    • Designing principles for architectural security
      • Implementing authentication and authorization control
      • Applying security everywhere
      • Reducing the blast radius
      • Monitoring and auditing everything all the time
      • Automating everything
      • Protecting data
      • Responding to security incidents
    • Selecting technology for architectural security
      • User identity and access management
        • Federated identity management and single sign-on
        • Kerberos
        • Microsoft Active Directory
        • Amazon Web Services Directory Service
        • Google Identity federation with Active Directory
        • Security Assertion Markup Language
        • OAuth and OpenID Connect
        • JSON Web Token
      • Handling web security
        • Web app security vulnerabilities
        • Web security mitigation
      • Securing an application and its infrastructure
        • Application and operating system hardening
        • Software vulnerabilities and secure code
        • Network, firewall, and trusted boundary
        • Intrusion detection system and intrusion prevention system
      • Data security
        • Data classification
        • Data encryption at rest
        • Data encryption in transit
    • Security and compliance certifications
    • The cloud's shared security responsibility model
    • Summary
  • Architectural Reliability Considerations
    • Design principles for architectural reliability
      • Making systems self-healing
      • Applying automation
      • Creating a distributed system
      • Monitoring and adding capacity
      • Performing recovery validation
    • Technology selection for architectural reliability
      • Planning the Recovery Time Objective and Recovery Point Objective
      • Replicating data
        • Synchronous versus asynchronous replication
        • Replication methods
      • Planning disaster recovery
        • Backup and restore
        • Pilot light
        • Warm standby
        • Multi-site
      • Applying best practices for DR
    • Improving reliability with the cloud
    • Summary
  • Operational Excellence Considerations
    • Designing principles for operational excellence
      • Automating manual tasks
      • Making incremental and reversible changes
      • Predicting failures and responding
      • Learning from mistakes and refining
      • Keeping the operational runbook updated
    • Selecting technologies for operational excellence
      • Planning for operational excellence
        • IT asset management
        • Configuration management
      • The functioning of operational excellence
        • Monitoring system health
        • Handling alerts and incident response
      • Improving operational excellence
        • IT operations analytics
        • Root cause analysis
        • Auditing and reporting
    • Achieving operational excellence in the public cloud
    • Summary
  • Cost Considerations
    • Design principles for cost optimization
      • Calculating the total cost of ownership
      • Planning the budget and forecast
      • Managing demand and service catalogs
      • Keeping track of expenditure
      • Continuous cost optimization
    • Techniques for cost optimization
      • Reducing architectural complexity
      • Increasing IT efficiency
      • Applying standardization and governance
        • Resource cost tagging
      • Monitoring cost usage and report
    • Cost optimization in the public cloud
    • Summary
  • DevOps and Solution Architecture Framework
    • Introducing DevOps
    • Understanding the benefits of DevOps
    • Understanding the components of DevOps
      • Continuous integration/cotinuous deployment
      • Continuous monitoring and improvement
      • Infrastructure as Code
      • Configuration management
    • Introducing DevSecOps
    • Combining DevSecOps and CI/CD
    • Implementing a CD strategy
      • In-place deployment
      • Rolling deployment
      • Blue-green deployment
      • Red-black deployment
      • Immutable deployment
    • Implementing continuous testing in the CI/CD pipeline
      • A/B testing
    • Using DevOps tools for CI/CD
      • Code editor
      • Source code management
      • Continuous integration server
      • Code deployment
      • Code pipeline
    • Implementing DevOps best practices
    • Building DevOps and DevSecOps in the cloud
    • Summary
  • Data Engineering for Solution Architecture
    • What is big data architecture?
    • Designing big data processing pipelines
    • Data ingestion
      • Technology choices for data ingestion
      • Ingesting data to the cloud
    • Storing data
      • Technology choices for data storage
        • Structured data stores
        • NoSQL databases
        • Search data stores
        • Unstructured data stores
        • Object storage
        • Blockchain data store
        • Streaming data stores
    • Processing data and performing analytics
      • Technology choices for data processing and analysis
    • Visualizing data
      • Technology choices for data visualization
    • Designing big data architectures
      • Data lake architecture
      • Lakehouse architecture
      • Data mesh architecture
      • Streaming data architecture
    • Big data architecture best practices
    • Summary
  • Machine Learning Architecture
    • What is machine learning?
    • Working with data science and ML
      • Evaluating ML models overfitting versus underfitting
      • Supervised and unsupervised machine learning algorithms
    • Machine learning in the cloud
    • Building machine learning architecture
      • Prepare and label
      • Select and build
      • Train and tune
      • Deploy and manage
    • Machine learning reference architecture
    • Machine learning operations
      • MLOps principles
      • MLOps best practices
    • Deep learning
    • Summary
  • The Internet of Things Architecture
    • What is the Internet of Things?
    • Components of IoT architecture
      • Managing IoT devices
        • Microcontroller device management
        • Microprocessor device management
      • Connecting and controlling IoT devices
      • Performing analytics on IoT data
    • IoT in the cloud
    • Building an industrial IoT solution
      • Connected Factory IoT architecture
      • Implementing a digital twin
    • Summary
  • Quantum Computing
    • The building blocks of quantum computers
      • Qubits
      • Superposition
      • Entanglement
    • The working mechanism of quantum computers
      • Quantum gates
        • Pauli gates
        • The Hadamard gate
        • Other quantum gates
      • Quantum circuits
    • Types of quantum computers
    • Quantum computing in real life
    • Quantum computing in the cloud
    • Summary
  • Rearchitecting Legacy Systems
    • Learning the challenges of legacy systems
      • Difficulty in keeping up with user demand
      • Higher cost of maintenance and update
      • Shortage of skills and documentation
      • Vulnerable to corporate security issues
      • Incompatibility with other systems
    • Benefits of system modernization
    • Defining a strategy for system modernization
      • Assessment of a legacy application
      • Defining the modernization approach
    • Looking at legacy system modernization techniques
      • Encapsulation, rehosting, and replatforming
      • Refactoring and rearchitecting
      • Redesigning and replacing
    • Defining a cloud migration strategy for legacy systems
      • Documentation and support
    • Mainframe migration with the public cloud
      • Migrating standalone applications
      • Migrating applications with shared code
        • Application decoupling using a standalone API
        • Application decoupling using a shared library
        • Application decoupling using message queues
    • Summary
  • Solution Architecture Document
    • Purpose of the SAD
    • Views of the SAD
    • Structure of the SAD
      • Solution overview
      • Business context
      • Conceptual solution overview
      • Solution architecture
        • Information architecture
        • Application architecture
        • Data architecture
        • Integration architecture
        • Infrastructure architecture
        • Security architecture
      • Solution implementation
      • Solution management
      • Appendix
    • IT procurement documentation for a solution architecture
    • Summary
  • Learning Soft Skills to Become a Better Solution Architect
    • Acquiring pre-sales skills
    • Presenting to C-level executives
    • Taking ownership and accountability
    • Defining strategy execution with objectives and key results
    • Thinking big
    • Being flexible and adaptable
    • Design thinking
    • Being a builder by engaging in coding hands-on
    • Becoming better with continuous learning
    • Being a mentor to others
    • Becoming a technology evangelist and thought leader
    • Summary
  • Other Books You May Enjoy
  • Index

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