Akka Classic Remoting & Clustering with Scala

After this course, you’ll be able to:

• interact with actor systems on different JVMs or on other machines
• remotely deploy actors on other JVMs, and use them like they were your own
• use clustering for distributed fault-tolerant computation
• configure clusters and transport protocols
• coordinate large-scale distributed applications with Cluster Singleton
• distribute massive actors and logic with Cluster Sharding
• implement an imaginary London Tube infrastructure with clusters and sharding

Plus some extra perks:

• You’ll have access to the entire code I write on camera (all 1214 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:

• Work with remote actors
  • locate actors on other JVMs and other machines
  • effectively use ActorSelection for remote access
  • deploy actors remotely on other machines via configuration
  • deploy actors remotely at runtime
• Distribute applications with Clustering
  • manage cluster membership
  • distribute tasks in a cluster
  • uniformly delegate tasks with cluster-aware routers
  • configure seed clusters
  • join any cluster programmatically at runtime
• Benefit from true distributed fault-tolerance
  • use Cluster Singleton in a distributed environment
  • manage singleton life cycle
  • split a massive actor or massive distributed logic into shards
  • control how shards are created in a large-scale system
  • balance the load of your distributed systems with sharding techniques

all with live runnable examples and practiced with exercises. We even create a simulation of the crowded London Underground system with Akka clusters and Cluster Sharding.