Reactive applications with Akka.NET /
Chapter 8. Composing actor systems -- 8.1. Introducing Akka.NET remoting -- 8.2. Preparing to use remoting -- 8.3. Communicating with remote actors -- 8.4. Elastic scale across machines -- 8.5. Failure handling across machines -- 8.6. Akka. Remote security -- 8.7. Case study: Remoting, network appli...
Clasificación: | Libro Electrónico |
---|---|
Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Shelter Island, NY :
Manning Publications Co.,
[2019]
|
Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Intro
- Copyright
- Brief Table of Contents
- Table of Contents
- Preface
- Acknowledgments
- About this book
- About the author
- About the cover illustration
- Part 1. The road to reactive
- Chapter 1. Why reactive?
- 1.1. The heart of the Reactive Manifesto
- 1.2. Reactive systems vs. reactive programming
- 1.3. Applying Akka.NET
- 1.4. How does Akka.NET work?
- Summary
- Chapter 2. Reactive application design
- 2.1. Basic reactive system design
- 2.2. Reactive e-commerce application with actors
- 2.3. Building on reactive foundations
- Summary
- Part 2. Digging in
- Chapter 3. Your first Akka.NET application
- 3.1. Setting up an application
- 3.2. Actors
- 3.3. Deploying an actor
- 3.4. Communicating with actors
- 3.5. Case study: Actors, concurrency, and phone billing
- Summary
- Chapter 4. State, behavior, and actors
- 4.1. Preparing for the next message
- 4.2. Setting appropriate runtime behaviors
- 4.3. Finite state machines
- 4.4. Case study: State machines, states and events, marketing analytics campaign
- Summary
- Chapter 5. Configuration, dependency injection, and logging
- 5.1. Why do you need configuration?
- 5.2. Configuring an actor deployment
- 5.3. Dependency injection (DI)
- 5.4. Configuring with HOCON
- 5.5. Logging
- 5.6. Case study: Configuration and distributed systems
- Summary
- Chapter 6. Failure handling
- 6.1. Understanding failures
- 6.2. Handling application-level failures
- 6.3. Understanding transport-level failures
- 6.4. Case study: Supervision, failure, chat bots
- Summary
- Chapter 7. Scaling in reactive systems
- 7.1. Scaling up and scaling out
- 7.2. Distributing work
- 7.3. Routing strategies
- 7.4. Case study: Scaling, throughput, advertising systems
- 9.5. Case study: Testing, test-driven development, unit testing
- Summary
- Chapter 10. Integrating Akka.NET
- 10.1. Integrating with ASP.NET
- 10.2. Integrating with SignalR
- 10.3. Custom integrations with akka.io
- 10.4. Case study: IO, integration, IoT applications
- Summary
- Chapter 11. Storing actor state with Akka. Persistence
- 11.1. Understanding event sourcing
- 11.2. Using Akka. Persistence
- 11.3. Akka. Persistence performance tuning
- 11.4. Akka. Persistence performance tuning
- 11.5. Case study: Persistence, storage, staged upgrades
- Summary