Akka

Introduction to Akka

Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM. This module provides an overview of Akka’s architecture, core components, and its application in modern software development.

Getting Started with Akka

Learn how to set up Akka for your projects. This section covers installation, project configuration, and integration with build tools like Maven or Gradle. Explore how to start building Akka applications.

Actors and Actor Systems

Discover the fundamental concept of actors in Akka. Learn how to create and manage actors, understand actor lifecycle, and how actor systems operate. Explore communication patterns, supervision, and fault tolerance.

Concurrency and Parallelism

Understand Akka’s approach to concurrency and parallelism. Learn about message passing, asynchronous processing, and actor-based concurrency models. Explore techniques for scaling applications and managing high loads.

State Management and Persistence

Gain insights into managing state and persistence in Akka. Learn about Akka Persistence for durable state management and recovery. Explore event sourcing, snapshotting, and handling actor state in a reliable manner.

Clustering and Distributed Systems

Explore Akka’s features for clustering and distributed systems. Learn how to set up Akka clusters, handle node failures, and achieve system resilience. Discover techniques for distributed data management and sharding.

Testing and Debugging

Learn best practices for testing and debugging Akka applications. Explore tools and techniques for unit testing actors, integration testing, and diagnosing issues in complex systems. Use Akka TestKit and other testing frameworks effectively.

Advanced Akka Features

Dive into advanced Akka features, including Akka Streams, Akka HTTP, and Akka Typed. Learn how these components enhance Akka’s capabilities for building reactive and scalable systems.

Best Practices and Real-World Use Cases

Explore best practices for developing and maintaining Akka-based applications. Learn from real-world case studies to understand how Akka is applied in production environments. Gain insights into common challenges and effective solutions.

Akka Course Syllabus

1. Introduction to Akka

  • What is Akka?
  • Why use Akka?
  • Key features and benefits.

2. Concurrency and Parallelism Concepts

  • Understanding concurrency vs. parallelism.
  • Actor-based concurrency model.
  • Message passing.

3. Akka Basics

  • Setting up Akka in your project.
  • Actors and actor systems.
  • Creating and working with actors.
  • Actor lifecycle and supervision.

4. Akka Messaging

  • Message types and patterns.
  • Handling messages.
  • Dead letter handling.

5. Akka Persistence

  • Event sourcing.
  • Persistence actors.
  • Snapshotting.

6. Akka Clustering

  • Cluster formation.
  • Distributed data and coordination.
  • Cluster sharding.

7. Akka Streams

  • Reactive Streams.
  • Streaming concepts.
  • Building streams with Akka.

8. Akka HTTP

  • Building RESTful APIs with Akka HTTP.
  • Handling requests and responses.
  • Routing and marshalling.

9. Testing Akka Applications

  • Unit testing actors.
  • Integration testing.
  • Testing Akka HTTP routes.

10. Performance Tuning and Optimization

  • Tuning actor systems.
  • Akka dispatcher configurations.
  • Monitoring and profiling Akka applications.

11. Real-world Examples and Best Practices

  • Design patterns in Akka.
  • Error handling strategies.
  • Scaling Akka applications.

12. Advanced Topics

  • Akka Streams Graph DSL.
  • Akka Typed.
  • Akka Persistence Query.

13. Building Reactive Systems with Akka

  • Reactive principles.
  • Designing reactive systems with Akka.

14. Case Studies and Projects

  • Hands-on projects and exercises to apply Akka concepts.
  • Case studies of real-world Akka implementations.

Training

Basic Level Training

Duration : 1 Month

Advance Level Training

Duration : 1 Month

Project Level Training

Duration : 1 Month

Total Training Period

Duration : 3 Months

Course Mode :

Available Online / Offline

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