Here are 100 chapter titles for learning the Akka Framework, organized from beginner to advanced. Akka is a powerful toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications. These chapters will guide you through the basics of Akka, its core concepts, and advanced techniques to master Akka for building scalable and fault-tolerant systems.
- What is Akka? An Introduction to the Framework
- Core Concepts of Akka: Actors, Messages, and Supervisors
- Understanding the Actor Model in Akka
- Why Choose Akka for Building Concurrent Systems?
- Setting Up Akka in Your Development Environment
- The Role of Akka in Reactive Programming
- Installing Akka: A Step-by-Step Guide
- How Akka Implements Asynchronous Communication
- The Akka Toolkit vs. Akka Actor System
- Basic Akka Terminology: Actor, Message, and System
- Akka’s Role in Distributed Systems
- Exploring Akka in the Context of Microservices
- Introduction to Actor-Based Concurrency
- First Akka Actor: A Simple Hello World Example
- Basic Actor Lifecycle: Creation, Behavior, and Termination
- Creating and Starting an Actor System
- Understanding Actor Hierarchy in Akka
- Messages in Akka: Sending and Receiving
- Akka Dispatcher and Thread Pool Management
- Understanding ActorRef and ActorSelection
- Akka and Immutable Data: Ensuring Thread-Safety
- Akka Patterns: Receiving Messages with Behaviors
- Building Stateless Actors
- Defining State in Akka Actors
- Actor Mailbox: How Messages Are Processed
- Exploring Akka’s Scheduler for Timed Messages
- Actor Supervision Strategy in Akka
- Managing Actor Lifecycle and Termination
- Introducing Akka's Routing Mechanisms
- Error Handling in Akka: Supervisors and Restart Strategies
- Understanding Akka’s Event Sourcing Mechanism
- Persistence in Akka: Storing Actor State
- Akka Persistence with JDBC and Cassandra
- Akka Persistence Query for Real-time Data
- Dealing with Actor Failures: Strategies and Recovery
- Using Akka’s Router for Message Distribution
- Creating Custom Routers in Akka
- Akka Remoting: Building Distributed Actor Systems
- How Akka Clusters Work
- Introduction to Akka Cluster for Scalability
- Akka Cluster Sharding: Splitting Data Across Nodes
- Akka Cluster Singleton: Ensuring a Single Instance
- Integrating Akka with Akka Streams
- Introduction to Akka Streams: Flow-based Programming
- Understanding Akka Streams Backpressure
- Advanced Actor Behaviors in Akka
- Akka Actors and Stash: Queuing Messages
- Building Custom Dispatchers in Akka
- High-Performance Akka with Mailbox Customization
- Advanced Actor Supervision Strategies
- Managing Large Actor Systems in Akka
- Using Akka Typed for Strongly Typed Actor Systems
- Akka Typed Actors: Moving from Classic Actors to Typed
- Akka Typed vs Classic Akka: Key Differences
- Testing Akka Actors with ScalaTest and AkkaTestKit
- Building Highly Scalable and Resilient Applications with Akka
- Working with Akka Cluster: Joining and Leaving
- Akka Cluster Failover: Handling Node Failures
- Akka Cluster Event Sourcing: Building Stateful Systems
- Configuring Akka Cluster for Optimal Performance
¶ Part 5: Distributed and Concurrent Programming (Advanced Level)
- Building Distributed Systems with Akka Cluster
- Akka’s Consistency Models: Eventual Consistency and CAP Theorem
- Akka Cluster Singleton for Global Coordination
- Akka Distributed Data (CRDTs) for Consistent State
- Implementing Reliable Messaging with Akka
- Implementing Fault Tolerance in Akka Cluster
- Akka Cluster Sharding: Advanced Techniques
- Handling Distributed Transactions with Akka
- Event-Driven Architecture with Akka Streams
- Using Akka Streams for High-Volume Data Processing
- Akka HTTP: Building RESTful APIs with Akka
- Security in Akka: Encrypting and Authenticating Messages
- Akka Distributed Consensus: Paxos and Raft
- Implementing Akka HTTP WebSocket Support
- Connecting Akka with External Systems: Kafka and Akka
- Building Real-Time Applications with Akka
- Using Akka for Real-Time Data Processing
- Akka in IoT: Handling Sensor Data Streams
- Building Reactive Web Applications with Akka HTTP
- Combining Akka and Spark for Big Data Applications
- Microservices Architecture with Akka and Akka HTTP
- Implementing CQRS with Akka and Akka Persistence
- Integrating Akka with Kafka for Event Streaming
- Akka with Kubernetes: Deploying and Scaling Applications
- CI/CD for Akka-Based Applications
- Monitoring and Logging in Akka
- Debugging Akka Applications: Tools and Techniques
- Profiling Akka Performance for Optimizations
- Scaling Akka Applications in the Cloud
- Securing Akka Clusters and Distributed Systems
- Building a Scalable Chat Application with Akka
- Designing Fault-Tolerant Systems with Akka and Cassandra
- Using Akka for Financial and Trading Applications
- Real-Time Event Processing with Akka Streams and Kafka
- Implementing Microservices with Akka HTTP and Akka Persistence
- Akka in Data Pipelines: Real-Time ETL Processing
- Building Multi-Tenant Applications with Akka Cluster
- Using Akka with Elasticsearch for Distributed Search Systems
- Akka for Event-Driven Architectures: Building Reactive Systems
- Future Trends in Akka: What's Next for Distributed Systems?
These 100 chapters cover all key aspects of Akka, starting from basic concepts like the Actor Model to advanced topics such as Akka Cluster, Akka Streams, distributed data, and real-world applications. By following this learning path, you'll be able to build scalable, resilient, and fault-tolerant systems using Akka for a wide range of applications.