Solutions Architect's Handbook : Kick-Start Your Career with Architecture Design Principles, Strategies, and Generative AI Techniques

Solutions Architect's Handbook Kick-Start Your Career with Architecture Design Principles, Strategies, and Generative AI Techniques

Master the art of solution architecture and excel as a Solutions Architect with the Solutions Architect's Handbook. Authored by seasoned AWS technology leaders Saurabh Shrivastav and Neelanjali Srivastav, this book goes beyond traditional certification guides, offering in-depth insights and adv...

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Detalles Bibliográficos
Otros Autores: Shrivastava, Saurabh, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham, England : Packt Publishing Ltd [2024]
Edición:Third edition
Colección:Expert insight.
Materias:
Amazon Web Services (Firm)
Cloud computing.
Web services.
Computer network architectures.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009810644506719
Tabla de Contenidos:
  • Cover
  • Copyright
  • Forewords
  • Contributors
  • Table of Contents
  • Preface
  • Chapter 1: Solutions Architect in an Organization
  • What is solution architecture?
  • The benefits of solution architecture
  • he solutions architect's role
  • Generalist solutions architect roles
  • Enterprise solutions architect
  • Application Architect
  • Cloud Architect
  • Architect Evangelist
  • Specialist solutions architect roles
  • Infrastructure Architect
  • Network Architect
  • Data Architect
  • ML Architect
  • GenAI architect
  • Security Architect
  • DevOps architect
  • Industry Architect
  • Understanding a solutions architect's responsibilities
  • Analyze functional requirements (FRs)
  • Define NFRs
  • Understand and engage stakeholders
  • Understand architecture constraints
  • Make technology selections
  • Develop a POC and prototype
  • Solution design and delivery
  • Ensuring post-launch operability and maintenance
  • Solution scaling and technology evangelism
  • Solutions architect in an Agile organization
  • Common challenges in the solutions architect role
  • Career path and skill development for solutions architects
  • Summary
  • Chapter 2: Principles of Solution Architecture Design
  • Building scalable architecture design
  • Scaling static content
  • Session management for application server scaling
  • Database scaling
  • Building elastic architecture
  • Building a highly available and resilient architecture
  • Highly available architecture
  • Resilient architecture
  • Achieving redundancy
  • Addressing component failure
  • Making your architecture fault-tolerant
  • Designing for performance
  • Creating immutable architecture
  • Think loose coupling
  • Think service, not server
  • Think data-driven design
  • Adding security everywhere
  • Making applications usable and accessible
  • Achieving usability
  • Achieving accessibility.
  • Building future-proof extendable and reusable architecture
  • Ensuring architectural interoperability and portability
  • Making applications interoperable
  • Making applications portable
  • Applying automation everywhere
  • Plan for business continuity
  • Design for operation
  • Overcoming architectural constraints
  • Taking the MVP approach
  • Summary
  • Chapter 3: Cloud Migration and Cloud Architecture Design
  • Public, private, and hybrid clouds
  • Solution architecture in the public cloud
  • The public cloud architecture
  • Popular public cloud providers
  • Cloud-native architecture
  • Designing cloud-native architecture
  • 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 migration strategy
  • Steps for cloud migration
  • Discovering your portfolio and workloads
  • Analyzing the information
  • Creating a migration plan
  • Designing the application
  • Executing application migration to the cloud
  • Data migration
  • Server migration
  • Integrating, validating, and cutover
  • Validation
  • Integration
  • The cutover process
  • Operating the cloud application
  • Application optimization in the cloud
  • Creating a hybrid cloud architecture
  • Taking a multi-cloud approach
  • Implementing CloudOps
  • CloudOps pillars
  • Summary
  • Further reading
  • Chapter 4: 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
  • Understanding service-oriented architecture
  • RESTful web service architecture
  • Building a RESTful-architecture-based e-commerce website
  • 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
  • Model-View-Controller (MVC) architecture
  • Applying MVC to design an online bookstore
  • Building Domain-Driven Design (DDD)
  • Understanding the circuit breaker pattern
  • Implementing the bulkhead 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
  • Clean Architecture
  • Avoiding anti-patterns in solution architecture
  • Summary
  • Chapter 5: Cloud-Native Architecture Design Patterns
  • What is cloud-native architecture?
  • Building serverless architecture
  • Considerations for serverless architecture
  • Building stateless and stateful architectural designs
  • Stateful architecture
  • Stateless architecture
  • Creating a microservice architecture
  • Saga pattern
  • Fan-out/fan-in pattern
  • Service mesh pattern
  • Reactive architecture
  • Building queue-based architecture
  • Queuing chain pattern
  • Job observer pattern
  • Pipes-and-Filters Architecture
  • Creating Event-Driven Architecture
  • Publisher/subscriber model
  • Event stream model
  • Backend for Frontend pattern
  • Cloud-native architecture anti-patterns
  • Single point of failure
  • Manual scaling
  • Tightly coupled services
  • Ignoring security best practices
  • Not monitoring or logging
  • Ignoring network latency
  • Lack of testing
  • Over-optimization
  • Not considering costs
  • Summary
  • Chapter 6: Performance Considerations
  • Design principles for high-performance architecture
  • Reducing latency
  • Improving throughput
  • Handling concurrency
  • Applying caching.
  • Technology selection for performance optimization
  • Making a computational choice
  • Working with containers
  • Going serverless
  • Making a storage choice
  • Working with block storage and storage area network
  • Working with file storage and network area storage
  • Working with object storage and cloud data storage
  • Storage for databases
  • Making a database choice
  • Online transactional processing
  • Nonrelational databases
  • Online analytical processing
  • Building a data search functionality
  • Improving network performance
  • Using edge computing
  • Defining a DNS routing strategy
  • Applying a load balancer
  • Applying auto-scaling
  • Performance considerations for mobile applications
  • Optimization of load times
  • Efficient use of resources
  • Responsive user interface (UI)
  • Network efficiency
  • Battery consumption
  • Cross-platform compatibility
  • User experience (UX) design
  • Effective data management
  • Testing and quality assurance
  • Performance testing
  • Types of performance testing
  • Managing performance monitoring
  • Summary
  • Chapter 7: Security Considerations
  • Chapter 8:Architectural Reliability Considerations
  • Design principles for architectural reliability
  • Making systems self-healing by applying automation
  • Quality assurance
  • Creating a distributed system
  • Monitoring and adding capacity
  • Performing recovery validation
  • Technology selection for architectural reliability
  • Planning the RPO and RTO
  • 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
  • Chapter 9:Operational Excellence Considerations
  • Design 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
  • Improving operational excellence
  • IT operations analytics
  • Root Cause Analysis
  • Auditing and reporting
  • Achieving operational excellence in the public cloud
  • Driving efficiency with CloudOps
  • Summary
  • Chapter 10: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
  • Understanding techniques for cost optimization
  • Reducing architectural complexity
  • Increasing IT efficiency
  • Applying standardization and governance
  • Resource cost tagging
  • Monitoring cost usage and reports
  • Driving cost optimization in the public cloud
  • Green IT and its influence on cost considerations
  • Cost-effective and green application hosting on AWS
  • Summary
  • Chapter 11:DevOps and Solution Architecture Framework
  • Introducing DevOps
  • Understanding the benefits of DevOps
  • Understanding the components of DevOps
  • Continuous integration/Continuous deployment
  • Continuous monitoring and improvement
  • Infrastructure as code
  • Configuration management
  • Introducing DevSecOps for Security
  • Combining DevSecOps and CI/CD
  • Implementing a CD strategy
  • In-place deployment
  • Rolling deployment
  • Blue-green deployment
  • Red-black deployment
  • Immutable deployment
  • Best practices for choosing the right deployment strategy
  • Implementing continuous testing in the CI/CD pipeline.
  • A/B testing.

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