Akka/Apache Pekko Streams with Scala

After this course, you’ll be able to:

• Use the principles of the reactive manifesto in your applications
• Read, transmit and process data with high performance, at scale, with streaming components
• Describe massive streams of any shape and size with the Graph DSL, without needing to care about concurrency
• Use backpressure to control the flow of data through your system
• Use streams materialization, a difficult concept understood only by the very best
• Use graph cycles in your streams to your advantage
• Create your own streaming components with as much control as you like
• Integrate Akka or Pekko Streams with normal actors
• Avoid concurrency pitfalls
• Circumvent cyclical streaming deadlocks
• Maintain data integrity in the face of disproportional demand or supply

Plus some extra perks:

• You’ll have access to the entire code I write on camera (all 2100 lines of it)
• You’ll be invited to our private Slack room where I’ll share latest updates, discounts, talks, conferences, and recruitment opportunities
• (Soon) you’ll have access to the takeaway slides
• (Soon) you’ll be able to download the videos for your offline view

Skills you’ll get:

• Reactive Streams and Akka or Pekko Streams principles
  • Understand what “reactive” means
  • Use streaming components
  • Understand and use stream materialization
  • Control the data flow in your streams with backpressure
  • Test Akka streams
• The Streams Graph DSL
  • Describe streaming architectures of any shapes and size
  • Create composite components and use them atomically in other graphs
  • Obtain materialized values from any streaminng graph
  • Use and control graph cycles
• Streams best practices
  • Integrate streams with Akka actors
  • Integrate streams with (general) external services
  • Reliably test Akka or Pekko Streams with the Akka Streams TestKit
  • Achieve fault-tolerance in your streams
• Advanced techniques with Akka or Pekko Streams used by the very best
  • Split data into parallelizable substreams
  • Manage Akka streams at runtime
  • Use the powerful GraphStage API to create your own components

all with live runnable examples and practiced with exercises.