Solutions Architect's Handbook - Third Edition

by Saurabh Shrivastava, Neelanjali Srivastav

Software Development

Book Details

Book Title

Solutions Architect's Handbook - Third Edition: Kick-start your career with architecture design principles, strategies, and generative AI techniques Edition: 3

Author

Saurabh Shrivastava, Neelanjali Srivastav

Publisher

Packt Publishing

Publication Date

March 2024

ISBN

1835084230

Number of Pages

579

Language

English

Format

PDF

File Size

13.2MB

Subject

Software Architecture

Cover
Copyright
Forewords
Contributors
Table of Contents
Preface
Chapter 1: Solutions Architect in an Organization
What is solution architecture?
he solutions architect’s role
Understanding a solutions architect’s responsibilities
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
Building a highly available and resilient architecture
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
Building future-proof extendable and reusable architecture
Ensuring architectural interoperability and portability
Applying automation everywhere
Plan for business continuity
Design for operation
Overcoming architectural constraints
Summary
Chapter 3: Cloud Migration and Cloud Architecture Design
Public, private, and hybrid clouds
Solution architecture in the public cloud
Creating a cloud migration strategy
Choosing a cloud migration strategy
Steps for cloud migration
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
Creating a multi-tenant SaaS-based architecture
Understanding service-oriented architecture
Building a cache-based architecture
Model-View-Controller (MVC) architecture
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
Database handling in application architecture
Clean Architecture
Avoiding anti-patterns in solution architecture
Summary
Chapter 5: Cloud-Native Architecture Design Patterns
What is cloud-native architecture?
Building serverless architecture
Building stateless and stateful architectural designs
Creating a microservice architecture
Reactive architecture
Building queue-based architecture
Pipes-and-Filters Architecture
Creating Event-Driven Architecture
Backend for Frontend pattern
Cloud-native architecture anti-patterns
Summary
Chapter 6: Performance Considerations
Design principles for high-performance architecture
Technology selection for performance optimization
Performance considerations for MOBIle applications
Performance testing
Managing performance monitoring
Summary
Chapter 7: Security Considerations
Chapter 8:Architectural Reliability Considerations
Design principles for architectural reliability
Technology selection for architectural reliability
Improving reliability with the cloud
Summary
Chapter 9:Operational Excellence Considerations
Design principles for operational excellence
Selecting technologies for operational excellence
Achieving operational excellence in the public cloud
Driving efficiency with CloudOps
Summary
Chapter 10:Cost Considerations
Design principles for cost optimization
Understanding techniques for cost optimization
Driving cost optimization in the public cloud
Green IT and its influence on cost considerations
Summary
Chapter 11:DevOps and Solution Architecture Framework
Introducing DevOps
Understanding the components of DevOps
Introducing DevSecOps for Security
Combining DevSecOps and CI/CD
Implementing a CD strategy
Best practices for choosing the right deployment strategy
Implementing continuous testing in the CI/CD pipeline
Using DevOps tools for CI/CD
Implementing DevOps best practices
Building DevOps and DevSecOps in the cloud
Summary
Chapter 12:Data Engineering for Solution Architecture
What is big data architecture?
Designing big data processing pipelines
Data ingestion, storage, processing, and analytics
Data storage in the cloud
Visualizing data
Designing big data architectures
Big data architecture best practices
Summary
Chapter 13:Machine Learning Architecture
What is machine learning?
Working with data science and machine learning
Machine learning in the cloud
Building machine learning architecture
Design principles for machine learning architecture
MLOps
Deep learning
NLP
Summary
Chapter 14:Generative AI Architecture
What is generative AI?
Generative AI use cases
The basic architecture of generative AI systems
Popular generative AI FMs
How to start with generative AI
Generative AI reference architecture for building a mortgage assistant app
Challenges in implementing generative AI
Summary
Chapter 15:Rearchitecting Legacy Systems
Learning the challenges of legacy systems
Defining a strategy for system modernization
Looking at legacy system modernization techniques
Defining a cloud migration strategy for legacy systems
Mainframe migration with the public cloud
Modernizing legacy code with generative AI
Summary
Chapter 16:Solution Architecture Document
Purpose of the SAD
Views of the SAD
Structure of the SAD
Life cycle of the SAD
SAD best practices and common pitfalls
IT procurement documentation for a solution architecture
Summary
Chapter 17:Learning Soft Skills to Become a Better Solutions Architect
Importance of soft skills in solution architecture
Acquiring pre-sales skills
Taking ownership and accountability
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
PacktPage
Index