Serverless Architectures on AWS

Serverless Architectures on AWS, Second Edition
brief contents
contents
preface
acknowledgments
about this book
	About the code
	liveBook discussion forum
about the authors
about the cover illustration
Part 1: First steps
	Chapter 1: Going serverless
		1.1 What’s in a name?
		1.2 Understanding serverless architectures
			1.2.1 Service-oriented architecture and microservices
			1.2.2 Implementing architecture the conventional way
			1.2.3 Implementing architecture the serverless way
		1.3 Making the call to go serverless
		1.4 Serverless pros and cons
		1.5 What’s new in this second edition?
	Chapter 2: First steps to ser verless
		2.1 Building a video-encoding pipeline
			2.1.1 A quick note on AWS costs
			2.1.2 Using Amazon Web Services (AWS)
		2.2 Preparing your system
			2.2.1 Setting up your system
			2.2.2 Working with Identity and Access Management (IAM)
			2.2.3 Let’s make a bucket
			2.2.4 Creating an IAM role
			2.2.5 Using AWS Elemental MediaConvert
			2.2.6 Using MediaConvert Role
		2.3 Starting with the Serverless Framework
			2.3.1 Setting up the Serverless Framework
			2.3.2 Bringing Serverless Framework to The 24-Hour Video
			2.3.3 Creating your first Lambda function
		2.4 Testing in AWS
		2.5 Looking at logs
	Chapter 3: Architectures and patterns
		3.1 Use cases
			3.1.1 Backend compute
			3.1.2 Internet of Things (IoT)
			3.1.3 Data processing and manipulation
			3.1.4 Real-time analytics
			3.1.5 Legacy API proxy
			3.1.6 Scheduled services
			3.1.7 Bots and skills
			3.1.8 Hybrids
		3.2 Patterns
			3.2.1 GraphQL
			3.2.2 Command pattern
			3.2.3 Messaging pattern
			3.2.4 Priority queue pattern
			3.2.5 Fan-out pattern
			3.2.6 Compute as glue
			3.2.7 Pipes and filters pattern
Part 2: Use cases
	Chapter 4: Yubl: Architecture highlights, lessons learned
		4.1 The original Yubl architecture
			4.1.1 Scalability problems
			4.1.2 Performance problems
			4.1.3 Long feature delivery cycles
			4.1.4 Why serverless?
		4.2 The new serverless Yubl architecture
			4.2.1 Rearchitecting and rewriting
			4.2.2 The new search API
		4.3 Migrating to new microservices gracefully
	Chapter 5: A Cloud Guru: Architecture highlights, lessons learned
		5.1 The original architecture
			5.1.1 The journey to 43 microservices
			5.1.2 What is GraphQL
			5.1.3 Moving to GraphQL
			5.1.4 Service discovery
			5.1.5 Security in the BFF world
		5.2 Remnants of the legacy
	Chapter 6: Yle: Architecture highlights, lessons learned
		6.1 Ingesting events at scale with Fargate
			6.1.1 Cost considerations
			6.1.2 Performance considerations
		6.2 Processing events in real-time
			6.2.1 Kinesis Data Streams
			6.2.2 SQS dead-letter queue (DLQ)
			6.2.3 The Router Lambda function
			6.2.4 Kinesis Data Firehose
			6.2.5 Kinesis Data Analytics
			6.2.6 Putting it altogether
		6.3 Lessons learned
			6.3.1 Know your service limits
			6.3.2 Build with failure in mind
			6.3.3 Batching is good for cost and efficiency
			6.3.4 Cost estimation is tricky
Part 3: Practicum
	Chapter 7: Building a scheduling ser vice for ad hoc tasks
		7.1 Defining nonfunctional requirements
		7.2 Cron job with EventBridge
			7.2.1 Your scores
			7.2.2 Our scores
			7.2.3 Tweaking the solution
			7.2.4 Final thoughts
		7.3 DynamoDB TTL
			7.3.1 Your scores
			7.3.2 Our scores
			7.3.3 Final thoughts
		7.4 Step Functions
			7.4.1 Your scores
			7.4.2 Our scores
			7.4.3 Tweaking the solution
			7.4.4 Final thoughts
		7.5 SQS
			7.5.1 Your scores
			7.5.2 Our scores
			7.5.3 Final thoughts
		7.6 Combining DynamoDB TTL with SQS
			7.6.1 Your scores
			7.6.2 Our scores
			7.6.3 Final thoughts
		7.7 Choosing the right solution for your application
		7.8 The applications
			7.8.1 Your weights
			7.8.2 Our weights
			7.8.3 Scoring the solutions for each application
	Chapter 8: Architecting ser verless parallel computing
		8.1 Introduction to MapReduce
			8.1.1 How to transcode a video
			8.1.2 Architecture overview
		8.2 Architecture deep dive
			8.2.1 Maintaining state
			8.2.2 Step Functions
		8.3 An alternative architecture
	Chapter 9: Code Developer University
		9.1 Solution overview
			9.1.1 Requirements listed
			9.1.2 Solution architecture
		9.2 The Code Scoring Service
			9.2.1 Submissions Queue
			9.2.2 Code Scoring Service summary
		9.3 Student Profile Service
			9.3.1 Update Student Scores function
		9.4 Analytics Service
			9.4.1 Kinesis Firehose
			9.4.2 AWS Glue and Amazon Athena
			9.4.3 QuickSight
Part 4: The future
	Chapter 10: Blackbelt Lambda
		10.1 Where to optimize?
		10.2 Before we get started
			10.2.1 How a Lambda function handles requests
			10.2.2 Latency: Cold vs. warm
			10.2.3 Load generation on your function and application
			10.2.4 Tracking performance and availability
		10.3 Optimizing latency
			10.3.1 Minimize deployment artifact size
			10.3.2 Allocate sufficient resources to your execution environment
			10.3.3 Optimize function logic
		10.4 Concurrency
			10.4.1 Correlation between requests, latency, and concurrency
			10.4.2 Managing concurrency
	Chapter 11: Emerging practices
		11.1 Using multiple AWS accounts
			11.1.1 Isolate security breaches
			11.1.2 Eliminate contention for shared service limits
			11.1.3 Better cost monitoring
			11.1.4 Better autonomy for your teams
			11.1.5 Infrastructure-as-code for AWS Organizations
		11.2 Using temporary stacks
			11.2.1 Common AWS account structure
			11.2.2 Use temporary stacks for feature branches
			11.2.3 Use temporary stacks for e2e tests
		11.3 Avoid sensitive data in plain text in environment variables
			11.3.1 Attackers can still get in
			11.3.2 Handle sensitive data securely
		11.4 Use EventBridge in event-driven architectures
			11.4.1 Content-based filtering
			11.4.2 Schema discovery
			11.4.3 Archive and replay events
			11.4.4 More targets
			11.4.5 Topology
appendix A: Ser vices for your ser verless architecture
	A.1 API Gateway
	A.2 Simple Notification Service (SNS)
	A.3 Simple Storage Service (S3)
	A.4 Simple Queue Service (SQS)
	A.5 Simple Email Service (SES)
	A.6 Relational Database Service (RDS)
	A.7 DynamoDB
	A.8 Algolia
	A.9 Media Services
	A.10 Kinesis Streams
	A.11 Athena
	A.12 AppSync
	A.13 Cognito
	A.14 Auth0
	A.15 Other services
appendix B: Setting up your cloud
	B.1 Security model and identity management
		B.1.1 Creating and managing IAM users
		B.1.2 Groups
		B.1.3 Roles
		B.1.4 Resources
		B.1.5 Permissions and policies
	B.2 Cost
		B.2.1 Creating billing alerts
		B.2.2 Monitoring and optimizing costs
		B.2.3 Using the Simple Monthly Calculator
		B.2.4 Calculating Lambda and API Gateway costs
appendix C: Deployment frameworks
	C.1 Serverless Framework
		C.1.1 Getting started
		C.1.2 Language support
		C.1.3 Invoking functions locally
		C.1.4 Plugins
	C.2 Serverless Application Model (SAM)
	C.3 Terraform
	C.4 Cloud Development Kit
		C.4.1 Where CDK shines
		C.4.2 CDK challenges
	C.5 Amplify
index
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