book

Building Serverless Applications on Knative

by Evan Anderson

November 2023

Intermediate to advanced

252 pages

7h 34m

English

O'Reilly Media, Inc.

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Includes

Includes Quizzes

Who Is This Book For?BackgroundContainersCloud ProvidersKubernetes and Cloud NativeCloud-Hosted ServerlessHow This Book Is OrganizedConventions Used in This BookUsing Code ExamplesO’Reilly Online LearningHow to Contact UsAcknowledgments
Why Is It Called Serverless?A Bit of TerminologyWhat’s a “Unit of Work”?ConnectionsRequestsEventsIt’s Not (Just) About the ScaleBlue and Green: Rollout, Rollback, and Day-to-DayCreature Comforts: Undifferentiated Heavy LiftingCreature Comforts: Managing InputsCreature Comforts: Managing Process LifecycleSummary
Setup for This ChapterA Single-Page AppBootstrapping a React AppA Basic Web UIPackaging Our AppInto the Cloud on Your Laptop!Under the Covers: How Requests Are HandledContinuing to BuildAdding an APIAPI Gateways and Composing an AppSplitting an API into ComponentsAugmenting a ProxyComplementary ServicesKey-Value StorageObject StorageTimers (Cron)Task QueuesWorkflowsSummary
Infrastructure AssumptionsHardware and Operating System ManagementScheduling and the Datacenter as a ComputerServingControl-Plane ConceptsLife of a RequestAutoscaling Control LoopComparison with AWS LambdaEventingControl-Plane ConceptsDelivery GuaranteesLife of an EventEcosystemComparison with Amazon SNS and Other Cloud ProvidersComparison with RabbitMQComparison with Apache KafkaEventing SummaryFunctionsSummary
Top Speed: Reducing DragContinuously Delivering ValueWinning the (Business) RaceMicrobillingA Deal with the CloudClouding on Your OwnWhat Happens When You’re Not RunningThe Gravitational Force of ServerlessImplications for LanguagesImplications for SandboxingImplications for ToolingImplications for SecurityImplications for InfrastructureSummary
The Monolith Next DoorMicroservice Extension PointsAsynchronous Cleanup and ExtensionExtract, Transform, LoadThe Strangler Fig PatternExperimentsDark Launch and Throwaway WorkA Serverless Monolith?Summary
Events and MessagesWhy CloudEventsEvents as an APIWhat Does Event-Driven Mean?Event DistributionContent-Based Routing Versus ChannelsInternal and External EventsBuilding for Extension with “Inner Monologue”Workflow OrchestrationLong-Lived Workflows, Short-Lived ComputeWorkflow as Declarative ManifestsEvent BroadcastWhat’s So Tricky About Broadcast?Broadcast in Fast-Moving SystemsTask QueuesTask Queue FeaturesScaling in Time Instead of InstancesSummary
Ambient Event PublishingThe Active Storage PatternIs Your Database Your Monologue?Scenarios for Inner MonologuesKey EventsWorkflowsInner Monologues Versus RPCsSensitive Data and Claim ChecksHow to Use an Inner MonologueExtending the Monolith: Workflow DecorationScatter-Gather AdviceAccount Hijacking DetectionVersioned Events, Unversioned CodeClouds Have Monologues TooKubernetes: Only a MonologueAudit Log or Mono-Log?Summary

Different Types of Work in the Same InstanceWork Units That Don’t Signal TerminationProtocol MismatchInelastic ScalingInstance Addressability and ShardingSummary
MeltdownNarrowest BottleneckFeedback LoopCold Start, Extra SlowThe Race to ReadyAvoiding Cold StartsForecasting Is HardLoopbackHotspots Don’t ScaleGraphs and Focal PointsData SizeLockingExactly Once Is HardSummary
Log AggregationTracingMetricsLive Tracing and ProfilingAPM AgentsSummary
35 Years of ServerlessinetdCGIStored ProceduresHerokuGoogle App EngineCloud FoundryAWS LambdaAzure and Durable FunctionsKnative and Cloud RunCloudflare Workers and Netlify Edge FunctionsWhere to Next?AIDistributed and the EdgeBeyond StatelessSummary

Content preview from Building Serverless Applications on Knative

Index

A

account hijacking detection, Account Hijacking Detection-Account Hijacking Detection
activator (in Knative Serving), Activator-Activator
active storage pattern, The Active Storage Pattern-The Active Storage Pattern
AI (artificial intelligence), AI-AI
ambient event publishing, Ambient Event Publishing-Is Your Database Your Monologue?
Apache Kafka, Control-Plane Concepts, Broker storage-Broker storage, Comparison with Apache Kafka
API (application programming interface)
- adding to application design example, Adding an API-Adding an API
- events as, Events as an API
- microservice extensions for monoliths, Microservice Extension Points-Microservice Extension Points
- runtime authentication, Adding an API
- splitting into components, Splitting an API into Components-Splitting an API into Components
- static files as a fake, Continuing to Build-Continuing to Build
API gateways, API Gateways and Composing an App-Augmenting a Proxy
- splitting API into components, Splitting an API into Components-Splitting an API into Components
- webhooks extension, Augmenting a Proxy-Augmenting a Proxy
APM (application performance management) agents, APM Agents-APM Agents
App Engine, Designing from Scratch, Too Much of a Good Thing Is Not a Good Thing, Google App Engine-Google App Engine
application design example, Designing from Scratch
- API gateways, API Gateways and Composing an App-Augmenting a Proxy
  - splitting API into components, Splitting an API into Components-Splitting an API into Components
  - webhooks extension, Augmenting ...

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Publisher Resources

ISBN: 9781098142063Errata Page Supplemental Content