Solutions Architect's Handbook : Kick-Start Your Career with Architecture Design Principles, Strategies, and Generative AI Techniques / Saurabh Shrivastava [and four others].

Format:

Book

Author/Creator:

Shrivastava, Saurabh, author.

Series:

Expert insight.

Expert insight

Language:

English

Subjects (All):

Amazon Web Services (Firm).

Cloud computing.

Web services.

Computer network architectures.

Physical Description:

1 online resource (579 pages)

Edition:

Third edition.

Place of Publication:

Birmingham, England : Packt Publishing Ltd., [2024]

Biography/History:

Shrivastava Saurabh: Saurabh Shrivastava is a technology leader, author, inventor, and public speaker with over 18 years of experience in the IT industry. He currently works at Amazon Web Services (AWS) as a Global Solutions Architect Leader and enables global consulting partners and enterprise customers on their journey to the cloud. Saurabh led the AWS global technical partnerships, set his team's vision and execution model, and nurtured multiple new strategic initiatives. Saurabh has authored various blogs and whitepapers across a diverse range of technologies, such as big data, IoT, machine learning, and cloud computing. He is passionate about the latest innovations and their impact on our society and daily life. He holds a patent in the area of cloud platform automation. Before AWS, Saurabh worked as an enterprise solution architect, software architect, and software engineering manager in Fortune 50 enterprises, start-ups, and global product and consulting organizations. Srivastav Neelanjali: Neelanjali Srivastav is a technology leader, product manager, agile coach, and cloud practitioner with over 16 years of experience in the software industry. She currently works at Amazon Web Services (AWS) as a Senior Product Manager and enables global customers on their data journey to the cloud. Neelanjali evangelizes and enables AWS customer and partners in AWS database, analytics, and machine learning services. She sets the product vision and cultivates new products in incubation. Before AWS, Neelanjali led teams of software engineers, solutions architects, and systems analysts to modernize IT systems and develop innovative software solutions for large enterprises. Neelanjali has held multiple roles in the IT services industry and R&D, focusing on enterprise application management, cloud service management, and orchestration.

Summary:

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 advanced techniques to meet the specific needs and challenges of solutions architects today. This edition introduces exciting new features that keep you at the forefront of this evolving field. Large language models, generative AI, and innovations in deep learning are cutting-edge advancements shaping the future of technology. Topics such as cloud-native architecture, data engineering architecture, cloud optimization, mainframe modernization, and building cost-efficient and secure architectures remain important in today's landscape. This book provides coverage of these emerging and key technologies and walks you through solution architecture design from key principles, providing you with the knowledge you need to succeed as a Solutions Architect. It will also level up your soft skills, providing career-accelerating techniques to help you get ahead. Unlock the potential of cutting-edge technologies, gain practical insights from real-world scenarios, and enhance your solution architecture skills with the Solutions Architect's Handbook.

Contents:

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

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

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

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

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

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

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

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

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

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.

Notes:

Includes index.

Includes bibliographical references and index.

Description based on publisher supplied metadata and other sources.

Description based on print version record.

ISBN:

9781835084366

1835084362

OCLC:

1429158241