The document discusses real-time streaming architectures, emphasizing the transition from traditional designs to cloud-native solutions utilizing tools like Kafka and various processing frameworks. It highlights the benefits of such architectures, including manageability, performance, and scalability. Go is presented as a suitable modern tool for building high-performance, real-time streaming applications.

1. Go for Real Time
Streaming Architectures

2. What are Streaming
Architectures ?

3. Events

4. Events
≠ Shared States

5. Pipelines
DataApp
Channel Channel
Data App Data …

6. Reactive Architecture

7. Microservices

8. Traditional Design

9. Central Realtime Engine
App
App
App
Publishers
Kafka
Events

10. Processing Frameworks

11. Processing Frameworks
App
App
App
Publishers
Kafka
Events
Streaming engine
/ frameworks:
Consumers
App
App
- Spark Streaming
- Flink
- Kafka Streams
- Akka Streams
- …

12. The cloud-native way

13. The cloud-native way
‣ Standalone Go application
‣ Kafka
‣ Sarama

14. The cloud-native way
‣Sarama Cluster

15. The cloud-native way
‣Protobuf

16. The cloud-native way
‣Nats

17. The cloud-native way
‣ Docker
‣Kubernetes

18. The cloud-native way
App
App
App
Publishers
KafkaEvents
Consumers
App
App
Events

19. Benefits
‣ Simple / manageable code

20. Benefits
‣ Simple / manageable code
‣ Performance

21. Benefits
‣ Simple / manageable code
‣ Performance
‣ Easily scalable

22. Go is a modern tool to build
cloud-native, high-performance,
realtime streaming applications
Mickaël Rémond — @mickael