Building Stateful Clustered Microservices with Java, Actors, and Kubernetes
0 likes142 views
Hugh McKee discusses the actor model in computer science, which facilitates concurrent computation by allowing actors to make decisions and communicate via messages while avoiding locks. The document also highlights Kubernetes as a platform for managing containerized applications, emphasizing the benefits of a cloud-ready message-driven model. Additionally, it introduces concepts related to reactive systems defined by the Reactive Manifesto, including responsiveness, resilience, and scaling.
Building Stateful Clustered Microservices with Java, Actors, and Kubernetes
- 1. Hugh McKee (@mckeeh3), Developer Advocate Building Stateful Clustered Microservices with Java, Actors, and Kubernetes
- 2. Hugh McKee (@mckeeh3), Developer Advocate
- 3. Hugh McKee (@mckeeh3), Developer Advocate
- 4. Hugh McKee (@mckeeh3), Developer Advocate
- 5. The actor model in computer science is a mathematical model of concurrent computation that treats "actors" as the universal primitives of concurrent computation. In response to a message that it receives, an actor can: make local decisions, create more actors, send more messages, and determine how to respond to the next message received. Actors may modify their own private state, but can only affect each other through messages (avoiding the need for any locks). Wikipedia
- 6. The actor model in computer science is a mathematical model of concurrent computation that treats "actors" as the universal primitives of concurrent computation. In response to a message that it receives, an actor can: make local decisions, create more actors, send more messages, and determine how to respond to the next message received. Actors may modify their own private state, but can only affect each other through messages (avoiding the need for any locks). Wikipedia
- 7. The actor model in computer science is a mathematical model of concurrent computation that treats "actors" as the universal primitives of concurrent computation. In response to a message that it receives, an actor can: make local decisions, create more actors, send more messages, and determine how to respond to the next message received. Actors may modify their own private state, but can only affect each other through messages (avoiding the need for any locks). Wikipedia
- 8. The actor model in computer science is a mathematical model of concurrent computation that treats "actors" as the universal primitives of concurrent computation. In response to a message that it receives, an actor can: make local decisions, create more actors, send more messages, and determine how to respond to the next message received. Actors may modify their own private state, but can only affect each other through messages (avoiding the need for any locks). Wikipedia
- 9. The actor model in computer science is a mathematical model of concurrent computation that treats "actors" as the universal primitives of concurrent computation. In response to a message that it receives, an actor can: make local decisions, create more actors, send more messages, and determine how to respond to the next message received. Actors may modify their own private state, but can only affect each other through messages (avoiding the need for any locks). Wikipedia
- 10. The actor model in computer science is a mathematical model of concurrent computation that treats "actors" as the universal primitives of concurrent computation. In response to a message that it receives, an actor can: make local decisions, create more actors, send more messages, and determine how to respond to the next message received. Actors may modify their own private state, but can only affect each other through messages (avoiding the need for any locks). Wikipedia
- 11. The actor model in computer science is a mathematical model of concurrent computation that treats "actors" as the universal primitives of concurrent computation. In response to a message that it receives, an actor can: make local decisions, create more actors, send more messages, and determine how to respond to the next message received. Actors may modify their own private state, but can only affect each other through messages (avoiding the need for any locks). Wikipedia
- 12. The actor model in computer science is a mathematical model of concurrent computation that treats "actors" as the universal primitives of concurrent computation. In response to a message that it receives, an actor can: make local decisions, create more actors, send more messages, and determine how to respond to the next message received. Actors may modify their own private state, but can only affect each other through messages (avoiding the need for any locks). Wikipedia
- 13. The actor model in computer science is a mathematical model of concurrent computation that treats "actors" as the universal primitives of concurrent computation. In response to a message that it receives, an actor can: make local decisions, create more actors, send more messages, and determine how to respond to the next message received. Actors may modify their own private state, but can only affect each other through messages (avoiding the need for any locks). Wikipedia
- 14. The actor model in computer science is a mathematical model of concurrent computation that treats "actors" as the universal primitives of concurrent computation. In response to a message that it receives, an actor can: make local decisions, create more actors, send more messages, and determine how to respond to the next message received. Actors may modify their own private state, but can only affect each other through messages (avoiding the need for any locks). Wikipedia
- 15. The actor model in computer science is a mathematical model of concurrent computation that treats "actors" as the universal primitives of concurrent computation. In response to a message that it receives, an actor can: make local decisions, create more actors, send more messages, and determine how to respond to the next message received. Actors may modify their own private state, but can only affect each other through messages (avoiding the need for any locks). Wikipedia
- 16. The actor model in computer science is a mathematical model of concurrent computation that treats "actors" as the universal primitives of concurrent computation. In response to a message that it receives, an actor can: make local decisions, create more actors, send more messages, and determine how to respond to the next message received. Actors may modify their own private state, but can only affect each other through messages (avoiding the need for any locks). Wikipedia
- 17. Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications.
- 18. Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications. elastic resilient
- 19. Akka cluster and Kubernetes Live demo
- 20. “Crop Circle” Shows Running Pods / JVMs
- 21. “Crop Circle” Shows Running Pods / JVMs POD / JVM POD / JVM POD / JVM
- 23. Entities added as needed Inactive entities shutdown
- 25. Resilience and Scale Demo
- 26. 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
- 27. 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
- 28. Java Maven K8 Project Review
- 30. You entity 64 Load Balancer Me entity 17 Other entity 76
- 31. You entity 64 Load Balancer Me entity 17 Other entity 76
- 32. Clustered Entity Actors Code Review
- 34. Load Balancer Pod 2Pod 1 Pod 3
- 35. Load Balancer Pod 2Pod 1 Pod 3
- 43. Cluster Aware Actors Code Review
- 44. Shard Distribution Akka Cluster Singleton
- 45. Shard Distribution Akka Cluster Singleton
- 46. Shard Distribution Akka Cluster Singleton
- 47. Entity Distributed Sharding Akka Cluster Sharding
- 48. Entity Distributed Sharding Akka Cluster Sharding
- 49. Event Sourcing & CQRS Akka Persistence & Persistence Query
- 50. Event Sourcing & CQRS Akka Persistence & Persistence Query
- 51. User ID Time Event You 64 08:11 Add Item 1567 Me 17 08:15 Add Item 3254 Other 76 08:16 Add Item 8359 You 64 08:20 Add Item 2632 Me 17 08:20 Add Item 4983 Other 76 08:24 Change Item 8359 You 64 08:25 Remove Item 1567 You 64 08:26 Add shipping address Other 76 08:30 Add Item 2438 Me 17 08:33 Add shipping address Me 17 08:33 Add billing address You 64 08:35 Add billing address Event Sourcing & CQRS
- 52. You entity 64 Load Balancer Me entity 17 Other entity 76
- 53. Akka Reactive Systems and Kubernetes 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
- 55. Upgrade your grey matter! Get the free O’Reilly book by Hugh McKee, Developer Advocate at Lightbend https://www.lightbend.com/ebooks
- 56. Hugh McKee (@mckeeh3), Developer Advocate hugh.mckee@lightbend.com Akka and Kubernetes: The beginning of a beautiful relationship