One of the best features of Akka is Akka Cluster. Akka cluster allows for building distributed applications, where one application or service spans multiple nodes. From its initial release in 2013, Akka Cluster needed a node management system to manage the Akka nodes and to provide a resilient and elastic platform. With Kubernetes Akka finally has the node management system that is has been waiting for. Akka Cluster has been designed to gracefully handle nodes leaving and joining a running cluster while continuing to run. Kubernetes adds and removes nodes as needed to increase capacity or to recover from failures. In effect, there is a perfect symbiosis between Akka Cluster and Kubernetes. In this talk, we will look at and demonstrate how Akka Java Cluster and Kubernetes work together and how together they form a beautiful relationship.

1. Hugh McKee (@mckeeh3), Developer Advocate
Akka and Kubernetes:
The beginning of a beautiful relationship

2. Akka cluster and OpenShift
Live demo

3. Entities
Shards
Pods
HTTP Server
Singleton

4. The enabler of these characteristics is a Cloud-Ready Message Driven Model.
Lightbend codified these principles into the Reactive Manifesto in 2013; 24,000+ signatories around the world so far.
Responsive Resilient Elastic
React to
Users
React to
Failures
React to
Load Variance
Low latency / High
performance
Real-time / NRT
Graceful, Non-catastrophic
Recovery
Self-Healing
Responsive in the face of
changing loads
Reactive Systems

5. Clustered Entity Actors

6. 1. Send command
2. Shard Region
3. Singleton
4. Shard
5. Entity
12
3
4
5

7. Entities added as needed
Inactive entities shutdown

9. Distributed Actors
Cluster Aware
Actors

10. Distributed Actors
Cluster Aware
Actors

11. Distributed Actors
Cluster Aware
Actors

12. Shard Distribution
Akka Cluster Singleton

13. Shard Distribution
Akka Cluster Singleton

14. Shard Distribution
Akka Cluster Singleton

15. 1. Send command
2. Shard Region
3. Singleton
4. Shard
5. Entity
12
3
4
5

16. Entity Distributed Sharding
Akka Cluster Sharding

17. Entity Distributed
Sharding
Akka Cluster Sharding

18. Event Sourcing & CQRS
Akka Persistence & Persistence Query

19. Event Sourcing & CQRS
Akka Persistence &
Persistence Query

21. Lightbend Platform
Distributed Systems
Architecture
Event-driven
Reactive Microservices
Real-time Streaming
& Machine Learning
End-to-End Monitoring
& Management
Security & Risk
Mitigation
Cloud native, data-centric application architecture

22. Akka Reactive Systems and OpenShift
Responsive Resilient Elastic
React to
Users
React to
Failures
React to
Load Variance
Low latency / High
performance
Real-time / NRT
Graceful, Non-catastrophic
Recovery
Self-Healing
Responsive in the face of
changing loads
a beautiful relationship

23. /akka-java-cluster-openshift.git
/akka-java-cluster.git
/akka-java-cluster-aware.git
/akka-java-cluster-singleton.git
/akka-java-cluster-sharding.git
/akka-java-cluster-persistence.git
/akka-java-cluster-persistence-query.git
https://github.com/mckeeh3…

24. Upgrade your grey matter!
Get the free O’Reilly book by Hugh McKee,
Developer Advocate at Lightbend
https://www.lightbend.com/resources/e-books

25. Hugh McKee (@mckeeh3), Developer Advocate
hugh.mckee@lightbend.com
Akka and Kubernetes:
The beginning of a beautiful relationship