1. Maximizing Node.js Applications Performance using Hazelcast: London, UK, CityJS 2023
  2. Efficient Microservices Deployment in the CloudSolutions: Montreal, Canada, ConFoo
  3. Five Challenges in Real-time Stream Processing and Five Solutions: Ohio, USA, CodeMash
  4. Real-time Fraud Detection Challenges and Solutions: Frankfurt, Germany, Java User Group Frankfurt (JUGF)
  5. High Performance Stream Processing in Kubernetes Made Easy: Munich, Germany, DevOps Conference
  6. Online Feature Stores for Realtime Machine Learning: Hull, UK, DDD North
  7. Maximizing Node.js Applications Performance using Hazelcast: Lodz, Poland, 4developers
  8. Best Practices for Building High Performance Real-time Stream Processing Microservices: Nice, France, Riviera JUG
  9. Best Practices for Building High Performance Real-time Stream Processing Microservices: Marseille, France., Marseille JUG
  10. Real-time Stream Processing in Kubernetes using Hazelcast: Istanbul, Turkey, Turkey Java Community
  11. Hazelcast Real-time Machine Learning Challenges and Solutions.: Ankara, Turkey, Turkey Java Community
  12. Elastically scale .NET caching to meet your real-world needs: Wroclaw, Poland, 4developers, Wroclaw
  13. Five Challenges in Real-time Stream Processing and Five Solutions: Wroclaw, Poland, 4developers, Wroclaw
  14. Running Machine Learning Analytics On Traces: Belgrade, Serbia, Heapcon
  15. Best Practices for Real-time Stream Processing using the Hazelcast Open-source Platform: Göteborg, Sweden, Javaforum Göteborg, Sweden
  16. Scaling Real-time Machine Learning made Easy with Hazelcast: Utrecht, the Netherlands, Blipz on the Rada
  17. Best Practices for Real-time Machine Learning: Porto, Portugal, Porto Tech Hub Conference
  18. Simplifying Real-time Machine Learning Deployment for OSS Projects at Scale: Lyon, France, Lyon Java User Group
  19. Real-time Fraud Detection - Challenges and Solutions: Prague, Czech Republic, GeeCon 2022
  20. Hazelcast Powers Real-Time Fraud Detection: Manchester, UK, JManc unconference
  21. Best Practices for Human Mobility and Real-time Machine Learning: Chicago, IL, US, ClueCon 2022
  22. Real-time Fraud Detection - Challenges and Solutions: Berlin, Germany, Predictive Analytics World
  23. A Systematic Literature Review and Meta-Analysis of Event Streaming in Academia: Austin, Texas, Kafka Summit Current 2022
  24. Five Challenges in Real-time Stream Processing and Five Solutions: Chicago, Illinois, United States, JConf.dev 2022
  25. Hazelcast Viridian Efficient Microservices Deployment in the Cloud: Chicago, Illinois, United States, Foojay Day
  26. Scaling Real-time Machine Learning made Easy with Hazelcast: London, UK, Big Data London
  27. Real-time Stream Processing in the Cloud Challenges and Solutions: Austin, TX, Developer Week
  28. Effective Real-time Stream Processing Made Easy with Hazelcast: Wroclaw, Poland, Wroclaw JUG
  29. Real-time Stream Processing in Spring Made Easy with Hazelcast: London, UK, London Java Community
  30. Elastically scale .NET caching to meet your real-world needs: Liverpool, UK, .NET Liverpool
  31. Best Practices for Real-time Stream Processing using the Hazelcast Open-source Platform: Istanbul, Turkey, İstanbul Coders