Cloud native architecture and design : a handbook for modern day architecture and design with enterprise-grade examples / Shivakumar R. Goniwada.

Format:

Book

Author/Creator:

Goniwada, Shivakumar R., author.

Language:

English

Subjects (All):

Cloud computing.

Physical Description:

1 online resource (730 pages)

Place of Publication:

Berkeley, CA : Apress, [2022]

Summary:

Build enterprise-grade cloud-native systems and learn all about cloud-native architecture and design. This book provides extensive in-depth details of patterns, tools, techniques, and processes with plenty of examples. Cloud Native Architecture and Design begins by explaining the fundamentals of cloud-native architecture and services, what cloud principles and patterns to use, and details of designing a cloud-native element. The book progresses to cover the details of how IT systems can modernize to embrace cloud-native architecture, and also provides details of various enterprise assessment techniques to decide what systems can move and cannot move into the cloud. Architecting and designing a cloud-native system isn't possible without modernized software engineering principles, the culture of automation, and the culture of innovation. As such, this book covers the details of cloud-native software engineering methodologies, and process, and how to adopt an automated governance approach across enterprises with the adoption of artificial intelligence. Finally, you need your cloud-native applications to run efficiently; this section covers the details of containerization, orchestration, and virtualization in the public, private, and hybrid clouds. After reading this book, you will have familiarity with the many concepts related to cloud-native and understand how to design and develop a successful cloud-native application. Technologies and practices may change over time, but the book lays a strong foundation on which you can build successful cloud-native systems. What You Will Learn Discover cloud-native principles and patterns, and how you can leverage them to solve your business problems Gain the techniques and concepts you need to adapt to design a cloud-native application Use assessment techniques and tools for IT modernization Apply cloud-native engineering principles to the culture of automation and culture of innovation Harness the techniques and tools to run your cloud-native applications and automate infrastructure Operate your cloud-native applications by using AI techniques and zero operation techniques Who This Book Is For Software architects, leaders, developers, engineers, project managers, and students.

Contents:

Intro

Table of Contents

About the Author

About the Technical Reviewer

Acknowledgments

Introduction

Part I: The Cloud Native Journey, Principles, and Patterns

Chapter 1: Introduction to Cloud Native Architecture

Introduction to Cloud Native

Cloud Adoption Across Industries

Reducing Costs

Adopting the Cloud Native Mindset

What Is Cloud Native?

Cloud Native Maturity Model

Cloud Enablement Wave

Cloud Native Transformation Wave

Scalability and Flexibility Advantage

Cloud Native Culture and Innovation Wave

Blockchain as a Service

Digital Twin

Zero Trust Architecture

5G

Quantum Computing

Elements of Cloud Native Computing

Microservices Architecture

Serverless Architecture

Event-Driven Architecture

Cloud Computing

Containers

Agile Development

DevSecOps

How Is Cloud Native Different Than Cloud-Enabled?

Cloud Native Journey

Start with Lift and Shift

Re-engineer Migration

Benefits of Cloud Native

Cloud Native Organization and Culture

How Is Cloud Native Architecture Embraced Across Industries?

Migrate

Accelerate

Scale and Innovate

What Is a Software Architect's Role in Cloud Native?

Summary

Chapter 2: Cloud Native Services

Evolution of Infrastructure Services

Mainframe Services

Minicomputer Services

Personal Computing Service

Client-Server Service

Enterprise Computing Service

Cloud and Mobile Computing Services

IT Infrastructure Laws and Prediction

Moore's Law

The Laws of Mass Digital Storage

Metcalfe's Law

Communication Cost and Internet

Evolution of Servers

Bare-Metal Servers

Virtual Machine Revolution

Adoption of Virtual Machines

Virtual Machines in the Cloud

Container Revolution

Understanding Cloud Services

Infrastructure as a Service

Platform as a Service.

PaaS Taxonomy

PaaS Architecture Styles

PaaS Deployment Model

Software as a Service

SaaS Limitations

Architectural Considerations: How to Decide on a Custom vs. SaaS Platform

Cloud Computing Deployment Models

Public Cloud

Private Cloud or On-Premises Cloud

Community Cloud

Hybrid

Cloud Services

Chapter 3: Cloud Native Architecture Principles

What Are Architecture Principles?

Cloud Native Design Principles

API First Principle

Monolithic Architecture Principle

Polylithic Architecture Principle

Applying the Polylithic Principle in Architecture

Properties of Polylithic Principles

Polyglot Persistence Principle

Applying the Polyglot Persistence Principle in Architecture

Modeled with Business Domain Principle

Consumer First Principle

Decentralize Everything Principle

Culture of Automation Principle

Always Be Architecting Principle

Interoperability Principle

Digital Decoupling Principle

Single Source of Truth Principle

Evolutionary Design Principle

Cloud Native Runtime Principles

Isolate Failure Principle (IFP)

Deploy Independently Principle

Be Smart with State Principle

Location-Independent Principle

Design for Failure Principle

Security Principles

Defense in Depth Principle

Security by Design Principle

SQL Injection

Cross-Site Scripting (XSS)

Software Engineering Principle

Products Not Projects Principle

Shift-Left Principle

Shift-Left Security

Shift-Left Performance

Container Principles

Single Concern Principle

High Observability Principle

Lifecycle Conformance Principle

Image Immutability Principle

Process Disposability Principle (PDP)

Self-Containment Principle

Runtime Confinement Principle

Principles of Orthogonal

Cohesion

Types of Cohesion

Function Cohesion.

Sequence Cohesion

Communication Cohesion

Procedural Cohesion

Temporal Cohesion

Logical Cohesion

Coincidental Cohesion

Applying High Cohesion to Software Design

Coupling

Types of Coupling

No Coupling

Message Coupling

Data Coupling

Stamp Coupling (Data-Structured Coupling)

Control Coupling

External Coupling

Common Coupling (Global Coupling)

Content Coupling (Pathological Coupling)

Law of Demeter (LoD) or Principle of Least Knowledge

Applying Loose Coupling to Software Design

Software Quality Principles

KISS Principle

Applying KISS to Software Design

Don't Repeat Yourself

Duplication Is Waste

The DRY Principle in Polylithic and Polyglot Architecture

How does the DRY principle reduce maintenance costs?

Isolate

What do we mean by isolation?

Isolation in Cloud Native Applications

Applying Isolation to Software Design

Separation of Concern

Applying SoC to Software Design

Use Layering

Layering in Traditional Application

Layering in Cloud Native Application

Applying Layering to Software Design

Information Hiding

Why Information Hiding?

Applying Information Hiding to Software Design

You Aren't Gonna Need It

Idea of YAGNI

How to Decide What You Need

SOLID Design Principles

Single Responsibility Principle

Applying Single Responsibility to Microservice Design

Open-Closed Principle

Applying Open-Closed to Microservices

Liskov Substitution Principle

Applying Liskov Substitution to Microservices Design

Interface Segregation Principle

Dependency Inversion Principle

Chapter 4: Cloud Native Architecture and Design Patterns

Evolution of Design Patterns

What Are Software Patterns?

Architecture Style, Architecture Pattern, and Design Pattern

Anti-pattern.

Cloud Native Data Management Pattern for Microservices

Event Sourcing Pattern

Stream

Event Store

Command and Query Responsibility Segregation Pattern

Application Layer Command and Query

Command and Query in the Database

Data Partitioning Pattern

Horizontal Partitioning or Sharding

Range Based or Interval Partitioning/Sharding

Hash Partitioning/Sharding

List Partition

Round-Robin Partitioning

Vertical Partitioning

Data Replication

Leader-Based or Leader-Followers Replication

How are the leaders selected?

Quorum-Based Replication

Cloud Native API Management Patterns for Microservices

Idempotent Service Operation

Optimistic Concurrency Control in API

Circuit Breaker

Service Discovery

Client-Side Discovery Pattern

Server-Side Discovery Pattern

Service Versioning

URI Versioning

Header Versioning

Cloud Native Event-Driven Patterns for Microservices

Asynchronous Nonblocking I/O

What is synchronous and asynchronous messaging?

Stream Processing

Cloud Native Design Pattern for Microservices

Mediator

Orchestration

Strangler Pattern

Bulkhead Pattern

How does the bulkhead pattern work?

Anti-corruption Pattern

Cloud Native Runtime Pattern for Microservices

Fail Fast

Retry

Sidecar

Init Containers

Saga Pattern

Event Driven and Choreography

Orchestrator-Based Saga Pattern

Part II: Elements of Cloud Native Architecture and Design

Chapter 5: Microservices Architecture and Design

Evolution of Microservices

What Is a Microservices Architecture?

Characteristics of Microservices

Organized Around Business Capabilities

Autonomous

Smart Endpoints and Dumb Pipes

What Is a Service Mesh?

Smart Endpoints and Dumb Pipes with Service Meshes

What Is an Event Mesh?

Resilience in Microservices.

Resilience Capabilities

How to Build Resilient Microservices?

Elasticity in Microservices

Distributed State

How to Handle Distributed State with Asynchronous microservices

Independently Deployable

Decentralization

Decentralized Governance

Decentralized Data

Automation

Containerization

Design for Failure

How Do You Design a Microservice for Failure and Stability?

Living Continuous Design

Self-Healing

Hexagonal Architecture

Enterprise Microservices Examples

Case Study: Trade Finance

What Is Trade Finance?

Trade Finance Ecosystem

Trade Finance Functional Architecture

Case Study: Collateral Management

Collateral Management Functional Architecture

Collateral Management Architecture

Microservices and User Interface: Micro Front End

Routing

Composition

Communication

Pros and Cons of Micro Front Ends

Microservice Architecture in Artificial Intelligence

AI Subcategories

Microservices Vertical Components: Speech AI

Chapter 6: Event-Driven Architecture

Evolution of Event-Driven Architecture

Tightly Coupled World to Loosely Coupled World

Message Broker World to Event World

Event

Business Events

Technical Events

Processing an Event

Event Handling in Domain Context

Event Governance

What Is Event-Driven Architecture?

How Does Event-Driven Architecture Work?

Event-Driven Topologies

Mediator Topology

Broker Topology

Choice of Topology

Characteristics of Event-Driven Architecture

Event-Driven Messaging Models

Event Messaging

Event Streaming

Event Processing Styles

Simple Event Processing

Event Stream Processing

Complex Event Processing

Event-Driven Architecture Maturity Model

Decoupling Use Case by Using Event-Driven Architecture

Make Data Accessible

How to Get Events and Make Data Accessible?.

Notes:

Description based on print version record.

Includes index.

ISBN:

9781484272268

1484272269

OCLC:

1276855755