Video description
In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.
"The most readable and up-to-date treatment of Akka I have seen."
Kevin Esler, TimeTrade Systems
Akka in Action shows you how to build message-oriented systems with Akka. This comprehensive, hands-on tutorial introduces each concept with a working example. You'll start with the big picture of how Akka works, and then quickly build and deploy a fully functional REST service out of actors. You'll explore test-driven development and deploying and scaling fault-tolerant systems. After mastering the basics, you'll discover how to model immutable messages, implement domain models, and apply techniques like event sourcing and CQRS. You'll also find a tutorial on building streaming applications using akka-stream and akka-http. Finally, you'll get practical advice on how to customize and extend your Akka system.
Akka makes it relatively easy to build applications in the cloud or on devices with many cores that efficiently use the full capacity of the computing power available. It's a toolkit that provides an actor programming model, a runtime, and required support tools for building scalable applications.
Inside:- Getting concurrency right
- Testing and performance tuning
- Clustered and cloud-based applications
- Covers Akka version 2.4
A software craftsman and architect, Raymond Roestenburg is an Akka committer. Rob Bakker specializes in concurrent back-end systems and systems integration. Rob Williams has more than 20 years of product development experience.
A great way to get started and go beyond the basics with Akka.
Andy Hicks, London Scala Users Group
A user’s guide to Akka in the real world!
William E. Wheeler, TEKsystems
A really useful book. Every chapter has working, real-world code that illustrates how to get things done using Akka.
Iain Starks, Game Account Network
NARRATED BY MARK THOMAS
Table of contents
- Chapter 1. Introducing Akka
- Chapter 1. What is Akka?
- Chapter 1. Traditional scaling
- Chapter 1. Traditional scaling and interactive use: polling
- Chapter 1. Scaling with Akka
- Chapter 1. Scaling with Akka and failure: asynchronous decoupling
- Chapter 1. Actors: one programming model to rule up and out
- Chapter 1. Actor operations
- Chapter 1. Akka actors
- Chapter 2. Up and running
- Chapter 2. Fast-forward to the GoTicks.com REST server
- Chapter 2. Structure of the app
- Chapter 2. The actor that handles the sale: TicketSeller
- Chapter 2. Into the cloud
- Chapter 3. Test-driven development with actors
- Chapter 3. One-way messages
- Chapter 3. SendingActor example
- Chapter 3. SideEffectingActor example
- Chapter 4. Fault tolerance
- Chapter 4. Plain old objects and exceptions
- Chapter 4. Let it crash
- Chapter 4. Actor lifecycle
- Chapter 4. Restart event
- Chapter 4. Supervision
- Chapter 4. Predefined strategies
- Chapter 4. Custom strategies
- Chapter 5. Futures
- Chapter 5. In the future nobody blocks
- Chapter 5. Promises are promises
- Chapter 5. Futuristic errors
- Chapter 5. Combining futures
- Chapter 5. Combining futures with actors
- Chapter 6. Your first distributed Akka app
- Chapter 6. Reasons for a distributed programming model
- Chapter 6. Making the GoTicks.com app distributed
- Chapter 6. Remote lookup
- Chapter 6. Remote deployment
- Chapter 6. Multi-JVM testing
- Chapter 6. Summary
- Chapter 7. Configuration, logging, and deployment
- Chapter 7. Using defaults
- Chapter 7. Akka configuration
- Chapter 7. Logging
- Chapter 7. Deploying actor-based applications
- Chapter 8. Structural patterns for actors
- Chapter 8. Pipes and filters in Akka
- Chapter 8. Enterprise integration pattern: scatter-gather
- Chapter 8. Implementing the gather component with the aggregator pattern
- Chapter 8. Enterprise integration pattern: routing slip
- Chapter 9. Routing messages
- Chapter 9. Balance load using Akka routers
- Chapter 9. Akka pool router
- Chapter 9. Akka pool router
- Chapter 9. Akka group router
- Chapter 9. ConsistentHashing router
- Chapter 9. Implementing the router pattern using actors
- Chapter 10. Message channels
- Chapter 10. Publish-subscribe
- Chapter 10. Publish-subscribe
- Chapter 10. Specialized channels
- Chapter 10. Guaranteed delivery
- Chapter 10. Summary
- Chapter 11. Finite-state machines and agents
- Chapter 11. Implementation of an FSM model
- Chapter 11. Implementing the entry actions
- Chapter 11. Timers within FSM
- Chapter 11. Implement shared state using agents
- Chapter 11. Waiting for the state update
- Chapter 12. System integration
- Chapter 12. Normalizer
- Chapter 12. Implementing endpoints using Apache Camel
- Chapter 12. Implement a consumer endpoint receiving messages from an external system
- Chapter 12. Implement a producer endpoint sending messages to an external system
- Chapter 12. Implementing an HTTP interface
- Chapter 12. Implementing a REST endpoint with akka-http
- Chapter 13. Streaming
- Chapter 13. Copying files with sources and sinks
- Chapter 13. Materializing runnable graphs
- Chapter 13. Processing events with flows
- Chapter 13. Handling errors in streams
- Chapter 13. Streaming HTTP
- Chapter 13. Custom marshallers and unmarshallers for content type and negotiation
- Chapter 13. Fan in and fan out with the graph DSL
- Chapter 13. Merging flows
- Chapter 13. Mediating between producers and consumers
- Chapter 13. Rate-detaching parts of a graph
- Chapter 14. Clustering
- Chapter 14. Cluster membership
- Chapter 14. Leaving the cluster
- Chapter 14. Clustered job processing
- Chapter 14. Work distribution using routers
- Chapter 14. Resilient jobs
- Chapter 14. Testing the cluster
- Chapter 14. Summary
- Chapter 15. Actor persistence
- Chapter 15. Persisting state without updates
- Chapter 15. Persistent actors
- Chapter 15. Testing
- Chapter 15. Persistence query
- Chapter 15. Serialization
- Chapter 15. Clustered persistence
- Chapter 15. Cluster sharding
- Chapter 16. Performance tips
- Chapter 16. Performance parameters
- Chapter 16. Performance measurement of actors
- Chapter 16. Performance measurement of actors
- Chapter 16. Collecting processing data
- Chapter 16. Improving performance by addressing bottlenecks
- Chapter 16. Configure dispatcher
- Chapter 16. Changing thread pool size statically
- Chapter 16. Using a dynamic thread pool size
- Chapter 16. Changing thread releasing
- Chapter 17. Looking ahead
- Chapter 17. Akka Distributed Data
Product information
- Title: Akka in Action video edition
- Author(s):
- Release date: September 2016
- Publisher(s): Manning Publications
- ISBN: None
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