Akka and Kubernetes: A Symbiotic Love Story

Aug 2, 20191 like1,601 views

The document discusses the actor model in computer science. It states that the actor model is a mathematical model of concurrent computation that treats "actors" as the basic units. An actor can make local decisions, create more actors, send messages to other actors, and determine how to respond to received messages. Actors can modify their own private state but can only interact with other actors through message passing to avoid locks.

Akka and Kubernetes: A Symbiotic Love Story

Hugh McKee (@mckeeh3), Developer Advocate

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

Kubernetes (K8s) is an open-source system for
automating deployment, scaling, and management
of containerized applications.

Kubernetes (K8s) is an open-source system for
automating deployment, scaling, and management
of containerized applications.
elastic
resilient

“Crop Circle”
Shows
Running Pods / JVMs
POD / JVM
POD / JVM
POD / JVM

Entities added as needed
Inactive entities shutdown

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

You
entity 64
Load Balancer
Me
entity 17
Other
entity 76

Shard Distribution
Akka Cluster Singleton

Entity Distributed Sharding
Akka Cluster Sharding

Event Sourcing & CQRS
Akka Persistence & Persistence Query

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

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

/akka-java-cluster-kubernetes
/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…

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Developer Advocate at Lightbend
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Hugh McKee (@mckeeh3), Developer Advocate
hugh.mckee@lightbend.com
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Akka and Kubernetes: A Symbiotic Love Story

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

22. Entity Shard Singleton HTTP Server Pod

23. Entities added as needed Inactive entities shutdown

24. Microservice Application Microservice

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

29. Clustered Entity Actors

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

33. Load Balancer Pod 1

34. Load Balancer Pod 2Pod 1 Pod 3

35. Load Balancer Pod 2Pod 1 Pod 3

37. Distributed Actors Cluster Aware Actors

38. Distributed Actors Cluster Aware Actors

39. Distributed Actors Cluster Aware Actors

40. Distributed Actors Cluster Aware Actors

41. Distributed Actors Cluster Aware Actors

42. Distributed Actors Cluster Aware Actors

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

54. /akka-java-cluster-kubernetes /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…

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 [email protected] Akka and Kubernetes: The beginning of a beautiful relationship

Akka and Kubernetes: A Symbiotic Love Story

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