Description
Book SynopsisKnow how Serverless and cloud-native systems work, their benefits and roles in automating and optimizing organizations, and the challenges to be considered. Anyone interested in Serverless architecture will benefit from this book, regardless of their level of technical understanding.
This revised and expanded new edition explains many related terms, such as microservices, cloud-native, architecture, several relevant AWS services, and how it all works together to produce cost-effective, scalable solutions in the cloud. The book starts at a high level and gradually gets more in-depth and technical.
The less technical decision maker will learn how Serverless can affect finance, security, people, and compliance. The book touches on important decisions, such as selecting and working with external or internal specialists and teams; finding, evaluating, and training them; and the flexibility and dynamics available within digital projects.
Deployment automation and DevOps
Table of Contents
About the author
Acknowledgements
Prologue
Who is this book for?
Technical levels used in this book
What will you learn?
Amazon Web Services (AWS)
Second edition
Chapter 1: Serverless basics
What is Serverless architecture?
Microservices
Serverless example
History of Serverless
Types of projects
Key challenges
Key benefits
Common objections
Public case studies
Chapter 2: Strategy
Introduction
Traditional organization structure vs Serverless
Cloud Centre of Excellence (CCoE)
Cloud controls as compliance guardrails
Supporting tools
Serverless adoption: current state
Serverless adoption: desired state
Serverless adoption: gap analysis
Application suitability for Serverless
Event Storming
Public case studies
Chapter 3: Finances
Total Cost of Ownership (TCO)
The value of paying for utilization
The cost to develop Serverless
The cost of migrating applications
The cost of maintenance and operations
Estimating the cloud operational costs
Collecting the input data for an estimate
Calculating the estimate
Cost management
Cost optimization
Chapter 4: Security
Shared responsibility
Serverless security
Principle of Least Privilege
IAM Policy tips
Security for cloud users
Security for microservices
User input validation
Storing credentials
Encryption
Protecting Data
Securing Databases
Privacy and GDPR
Security monitoring with ElectricEye
Chapter 5: People
Serverless roles
Serverless roles: Solution Architect
Serverless Roles: Cloud Security Engineer
Serverless Roles: Deployment Automation Engineer
Serverless roles: Full Stack Developer
Serverless roles: Database Engineer
Serverless training
Serverless team structure
Working with Serverless vendors
Vetting Serverless capabilities
Chapter 6: DevOps & Tooling
What is DevOps?
Infrastructure as Code
AWS CloudFormation
AWS CloudFormation planning
Terraform
AWS Serverless Application Model (SAM)
AWS Amplify
AWS Cloud Development Kit (CDK)
CDK technical considerations
Serverless Framework
Code Repositories
GIT Submodules
Developer Tooling
Code quality assurance
Chapter 7: Data
Data is a valuable asset
Database selection
Event Sourcing
Data tenancy
Relational Database Service (RDS)
Redshift Serverless
DynamoDB
NoSQL
Serverless NoSQL databases
Managed NoSQL databases
NoSQL databases comparison
In-memory databases
AppSync
Simple Storage Solution (S3)
Elastic File System (EFS)
Chapter 8: Logging & Testing
Logging
Reactive Logging
Proactive Logging
Logging format and content
Log types in the cloud
Cloud logging services
CloudWatch
Exporting logs to S3
CloudWatch Subscriptions
Managed services for proactive logging
Error Monitoring
Performance Optimisation
Cost Tracking
Security Monitoring
Logging Best Practices
Testing
Testing Challenges in Serverless
Types of Tests
Asynchronous Testing
Risk Assessment for Testing
Test Pyramid vs Test Honeycomb
Contract Testing for Serverless
Deployment Pipeline
AWS Testing Services
Chapter 9: Architecture
Challenges & mitigations
AWS: Microservices
AWS: Application Programming Interface (API)
Design patterns
Microservice example architectures
Stateless architecture
Decoupling microservices
AWS: Decoupling
Event-driven architecture
Asynchronous design pattern
Containers
AWS: Edge
AWS: Internet of Things (IoT)
AWS: Managed Machine Learning (ML)
AWS: Ledger Technology
AWS: Call Centre
Well-Architected Framework
Serverless tips
Chapter 10: Case studies
Introduction
Proactive logging
Serverless data lake
Video analysis
Serverless Minecraft
Dynamic live streaming
SEO-friendly website and CMS
Virtual host
True Serverless containers
Epilogue
References
