Serverless Design Patterns and Best Practices : Build, secure, and deploy enterprise ready serverless applications with AWS to improve developer productivity.

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Serverless applications and architectures are gaining momentum and are increasingly being used by companies of all sizes. For good reason, serverless-based applications handle many of the problems developers face when running systems and servers such as fault-tolerance, centralized logging, horizont...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Zambrano, Brian
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, 2018.
Temas:
Software patterns.
Application software > Development.
Cloud computing.
Logiciels > Modèles de conception.
Logiciels d'application > Développement.
Infonuagique.
Application software > Development
Cloud computing
Software patterns
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover; Title Page; Copyright and Credits; Dedication; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Introduction; What is serverless computing?; No servers to manage; Pay-per-invocation billing model; Ability to automatically scale with usage; Built-in availability and fault tolerance; Design patterns; When to use serverless; The sweet spot; Classes of serverless pattern; Three-tier web application patterns; ETL patterns; Big data patterns; Automation and deployment patterns; Serverless frameworks; Summary; Chapter 2: A Three-Tier Web Application Using REST.
  • Serverless toolingSystem architecture; Presentation layer; Logic layer; Data layer; Logic layer; Application code and function layout; Organization of the Lambda functions; Organization of the application code; Configuration with environment variables; Code structure; Function layout; Presentation layer; File storage with S3; CDN with CloudFront; Data layer; Writing our logic layer; Application entrypoint; Application logic; Wiring handler.py to Lambda via API Gateway; Deploying the REST API; Deploying the Postgres database; Setting up static assets; Viewing the deployed web application.
  • Running testsIteration and deployment; Deploying the entire stack; Deploying the application code; Summary; Chapter 3: A Three-Tier Web Application Pattern with GraphQL; Introduction to GraphQL; System architecture; Logic layer; Organization of the Lambda functions; Organization of the application code; Function layout; Presentation layer; Writing the logic layer; Implementing the entry point; Implementing GraphQL queries; Implementing GraphQL mutations; Deployment; Viewing the deployed application; Iteration and deployment; Summary; Chapter 4: Integrating Legacy APIs with the Proxy Pattern.
  • AWS API Gateway introductionSimple proxy to a legacy API; Setting up a pass-through proxy; Deploying a pass-through proxy; Transforming responses from a modern API; Method execution flow; Setting up example; Setting up a new resource and method; Setting up Integration Request; Setting up Integration Response; Complex integration using a Lambda function; Implementing the application code; Setting up a new resource and method; Migration techniques; Staged migration; Migrating URLs; Summary; Chapter 5: Scaling Out with the Fan-Out Pattern; System architecture.
  • Synchronous versus asynchronous invocationResizing images in parallel; Setting up the project; Setting up trigger and worker functions; Setting up permissions; Implementing the application code; Testing our code; Alternate Implementations; Using notifications with subscriptions; Using notifications with queues; Summary; Chapter 6: Asynchronous Processing with the Messaging Pattern; Basics of queuing systems; Choosing a queue service; Queues versus streams; Asynchronous processing of Twitter streams; System architecture; Data producer; Mimicking daemon processes with serverless functions.

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