Multi-Cloud Handbook for Developers : Learn How to Design and Manage Cloud-Native Applications in AWS, Azure, GCP, and More / Subash Natarajan and Jeveen Jacob.

Format:

Book

Author/Creator:

Natarajan, Subash, author.

Jacob, Jeveen, author.

Language:

English

Subjects (All):

Application software.

Web applications.

Cloud computing.

Physical Description:

1 online resource (292 pages)

Edition:

First edition.

Place of Publication:

Birmingham, England : Packt Publishing, [2024]

Summary:

Explore proven techniques and best practices for designing, deploying, and managing cloud-native applications in multi-cloud environments with the help of real-world examples, success stories, and emerging technologies Key Features Discover optimal solutions in multi-cloud environments using AWS, Azure, and GCP tools and technologies Excel in designing, developing, and securing cloud-native apps with Docker, Kubernetes, and Istio Learn design patterns, cost optimization, best practices, and pitfalls to avoid in multi-cloud apps Purchase of the print or Kindle book includes a free PDF eBook Book Description Unleash the power of cloud computing with Multi-Cloud Handbook for Developers, your guide to mastering the nuances of cloud-native and multi-cloud, covering practical strategies for design, development, and management. Explore the essential concepts, challenges, and methodologies critical for navigating the complex landscape of modern cloud computing. Using core architectural and design principles (such as microservices and 12-factor architecture) and advanced strategies (such as distributed application design patterns, domain-driven design (DDD), and API-first strategies), you'll learn how to build portable and efficient apps across various cloud platforms. You'll understand how to leverage Infrastructure as Code (IaC), continuous integration and deployment (CI/CD), GitOps, and DevOps practices, along with containerization and orchestration techniques using Docker and Kubernetes. You'll also get to grips with data, security, compliance, and cloud cost management strategies in multi-cloud environments. With real-world case studies, best practices, and insights into future trends, this book will equip you with the skills to develop, manage, troubleshoot, and innovate cloud-native applications across diverse cloud platforms, positioning you at the forefront of the cloud computing revolution. What you will learn Understand the core structures and implications of cloud-native and multi-cloud apps Explore key principles and patterns to build agile, scalable, and future-proof apps Master cloud-native essentials: service mesh, DDD, and API-centric approaches Implement deployment pipelines with advanced IaC, CI/CD, DevSecOps, and GitOps techniques Manage and monitor data, security, compliance, and identity access in multi-cloud scenarios Optimize your cloud costs with shift-left and FinOps practices Get ready for the future of cloud-native and multi-cloud technology Who this book is for Ideal for cloud-native and cloud developers, platform engineers, software architects, and IT professionals focused on building and managing cloud-native applications in multi-cloud environments, this book is an indispensable guide for students and researchers seeking insights into cloud-native concepts and multi-cloud architectures. A basic understanding of cloud computing, contemporary software development, system design, and cloud platforms such as AWS, Azure, and GCP, will prove useful.

Contents:

Cover

Title page

Copyright and credits

Dedication

Contributors

Table of Contents

Preface

Part 1: Introduction to Multi-Cloud and Cloud-Native

1

Chapter 1: Discovering the Multi-Cloud and Cloud-Native Universe

The evolution of application development

The monolithic era

The advent of SOA

Microservices and containers

The rise of cloud computing

Cloud computing service categories

Benefits of cloud computing

The emergence of multi-cloud and its distinction from hybrid cloud

Multi-cloud versus hybrid cloud

Understanding the significance of multi-cloud

Challenges of multi-cloud

Evolution of cloud-native development

The cloud-native advantage

Overcoming cloud-native challenges

When cloud-native meets multi-cloud

The synergy between cloud-native and multi-cloud

Overcoming challenges

The cultural shift in development

Summary

2

Chapter 2: Building the Backbone of Cloud-Native Applications

The cloud-native stack

Principles of cloud-native architecture

The Twelve-Factor App - a quick walk-through

Microservices architecture

Statelessness and immutability

APIs and service discovery

Scalability and elasticity

Resilience and fault tolerance

Cloud-native application architecture

Components of a cloud-native application - the building blocks

Part 2: Designing and Developing Cloud-Native Applications for Multi-Cloud

3

Chapter 3: Designing for Diversity with Multi-Cloud Application Strategies

Cloud-native design patterns

Designing for multi-cloud

Understanding multi-cloud architecture

Key principles of multi-cloud application design

Role of domain-driven design

Importance of an API-first approach

Selecting the right technologies for a cloud-native foundation

Data management in multi-cloud.

Monitoring and observability in multi-cloud

Optimizing costs in multi-cloud

Case studies

Case Study 1: E-commerce platform using microservices and sharding

Case Study 2: Financial services firm leveraging circuit breaker and replication

Case Study 3: Media streaming company adopting eventual consistency and API gateway

Best practices for multi-cloud application design

4

Chapter 4: Crafting and Deploying in the Multi-Cloud as a Developer

IaC

Strengths of IaC

Weaknesses of IaC

Tools to implement IaC

CI/CD

CI/CD best practices

Scaling mountainous success - a tale of DevOps and GitOps

Challenges

Service meshes in multi-cloud environments

Containerization and orchestration

Containerization

Kubernetes

Multi-cloud networking and security

Part 3: Managing and Operating Cloud-Native Apps in Multi-Cloud

5

Chapter 5: Managing Security, Data, and Compliance on Multi-Cloud

Managing data and security in multi-cloud environments

Understanding data security and privacy in multi-cloud

Data residency and sovereignty

Automated compliance checks and data portability

Implementing best practices for data protection

Data privacy and compliance considerations

Introduction to security in cloud-native multi-cloud environments

CIS benchmarks

CSA framework

DevSecOps best practices for cloud-native apps in multi-cloud environments

Integrating security into the DevOps workflow

Automation and configuration management for secure deployments

Ensuring secure development practices

Managing compliance across multiple clouds environments

Understanding the compliance landscape in multi-cloud environments

Implementing governance frameworks and controls

IAM across multiple clouds environments

Centralized IAM

MFA and secure access.

Data privacy and protection

Understanding data privacy requirements

Implementing data privacy controls

6

Chapter 6: Maximizing Value and Minimizing Cost in Multi-Cloud

The shift-left cost for development in multi-cloud

FinOps practices for cloud-native apps in multi-cloud

Implementing shift-left cost management and FinOps practices

Shifting costs left - prevention is key

FinOps - collaboration is the secret sauce

The rewards of a cost-conscious mindset

Optimizing cloud resources and minimizing waste

Selecting the right cloud provider based on cost and performance

Evaluating cloud providers - cost factors and performance metrics

Performance and reliability metrics

Data management cost strategies

Governance and cost control

Cloud provider comparison case studies

Case study 1 - eCommerce giant slashes costs by 50% with a multi-cloud microservices approach

Case study 2 - social media app optimizes costs by 30% with containers and automation

7

Chapter 7: Troubleshooting Multi-Cloud Applications

Challenges of troubleshooting cloud-native applications

Tips for troubleshooting cloud-native applications

Use a centralized monitoring tool

Choosing a centralized monitoring tool for your needs

Use a cloud-native logging tool

Use a cloud-native debugging tool

Use a cloud-native observability platform

Use a service mesh

Choosing the right service mesh for your needs

Use a cloud-native configuration management tool

Establishing an effective troubleshooting process for cloud-native applications

Step 1 - Detecting the issue

Step 2 - Isolate the problem

Step 3 - Analyze and diagnose

Step 4 - Create, test, and deploy the solution

Step 5 - Learn from the experience and document

Step 6 - Continuous improvement

Case studies.

Case study 1 - Streamlining microservices communication in multi-clouds

Case study 2 - Managing data consistency in a multi-cloud environment

Case study 3 - Scaling challenges in a multi-cloud environment

SRE in multi-cloud environments

The principles of SRE

The benefits of SRE

Chaos engineering

Part 4: Best Practices, Case Studies, and Future Trends for Multi-Cloud and Cloud-Native

8

Chapter 8: Learning from Pioneers and Case Studies

Real-world case studies

Capital One - accelerating decision-making applications with Kubernetes

Ygrene - using cloud-native tech to bring security and scalability to the finance industry

T-Mobile - scaling up for peak with Kubernetes

Uber - cloud-native transformation for agility

Deployment strategies and best practices

Deployment strategies

Lessons learned and recommendations

Lessons learned

Recommendations for future projects

9

Chapter 9: Bringing Your Cloud-Native Application to Life

Project planning

Designing cloud-native applications for multi-cloud

Designing a cloud-native application on multi-cloud

Building your cloud-native application

Practical examples: building effective cloud-native applications

Deployment best practices

Security best practices for deployment

Load testing and performance optimization

Performing load testing and performance optimization

Troubleshooting and optimization

Optimization and scaling

Cost-optimization strategies

Performance monitoring and tuning

Hands-on exercise: e-commerce in multi-cloud architecture

10

Chapter 10: Future-Proofing Your Cloud Computing Skills

Next-generation cloud-native infrastructure and platforms

Evolution of platform engineering.

The rise of immutable infrastructure and its implications

Spotify's immutable infrastructure strategy

Advanced orchestration in multi-cloud landscapes

Introduction to AI and ML in cloud-native evolution

Modernizing applications with GenAI

The cloud-native platform becomes a foundational pillar for GenAI

ML - a pivotal tool in advanced cloud-native application management

Predictive analytics and AIOps - redefining cloud resource management

Predictions for AI and ML in cloud-native development

The emergence of serverless architecture and EDA

The evolution and future of FaaS in cloud-native ecosystems

Real-time processing and IoT integration in multi-cloud environments

Case studies of serverless architectures in large-scale applications

Advanced security paradigms for cloud-native applications

Reimagining security - the advent of Zero Trust in multi-cloud environments

Harnessing AI and ML - the vanguard of cloud-native cybersecurity

Navigating future security frontiers in cloud-native ecosystems

Quantum computing (QC) and its impact on cloud technologies

QC - revolutionizing the cloud landscape

Example of QC

Navigating the quantum future in cloud computing

Strategic recommendations

Sustainable cloud computing - a new era

Green computing - the heart of future cloud-native development

Energy-efficient strategies in multi-cloud infrastructures

Case studies of sustainable practices in cloud computing

Strategic imperatives for a green cloud horizon

Embracing a sustainable future in cloud computing

The convergence of telco and edge computing with cloud-native

5G as a game-changer for edge-enhanced cloud applications

Managing distributed data in multi-cloud and edge environments

Future trends in edge and cloud-native integrations.

Blockchain integration with cloud-native development.

Notes:

Description based on publisher supplied metadata and other sources.

Description based on print version record.

ISBN:

9781804617090

1804617091

OCLC:

1422746796