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Navigating Kafka: Challenges, Solutions, And The Future Of Real-Time Data Streaming
The complexities of real-time data streaming and auto-scaling in the cloud are no joke. But three are solutions to make it more simple and efficient.
In this Data (R)evolution episode, Matan Mizrahi and Filip Yonov join us to discuss how Kafka effectively handles and optimizes data streams, the pursuit of standardized APIs, and the vital role of AI in optimizing complex systems. They also share how AI and open-source tools are transforming the landscape. Tune in to hear about the evolution of data streaming and the transformative impact of AI and cloud-native solutions.
Key Takeaways:
- Emphasize the need for customer-defined scaling logic based on metrics and auto-scaling events for efficient Kafka management.
- The importance of integrating AI, like the Ivan AI database optimizer, to enhance workload optimization and complex system management in Kafka.
- The significance of strategic partner relationships in providing advanced software solutions and necessary knowledge and experience to mitigate risk in critical data infrastructure projects.
Resources:
- Watch the full interview on our YouTube: https://www.youtube.com/@Aiven_io
- Check out our website for more information: https://aiven.io/
- Check out Aiven AI Database Optimizer
- Want to be on our mailing list? Sign up here: https://aiven.io/resources
- Follow us on LinkedIn: https://www.linkedin.com/company/aiven/
- Sign up for our newsletter for more insights on this topic: https://aiven.io/newsletter
- Connect with Matan Mizrahi on LinkedIn: https://www.linkedin.com/in/matan-mizrahi-2106/?originalSubdomain=il
- Connect with Filip Yonov on LinkedIn: https://www.linkedin.com/in/filipyonov/?originalSubdomain=nl
- Check out Claroty: https://claroty.com/
Timestamps:
05:13 Challenges in running and optimizing streaming systems
09:10 Using stream data to produce and consume
12:22 Product manager solves customer problems with new capabilities
16:10 Agreement on system complexity and standard API
18:22 Kafka not yet fully cloud native
23:30 Simplifying cloud setup through productization and self-service
26:17 Hope for AI integration with Kafka, improved management
28:24 AI optimizations, reduce customer pain, lower barriers
32:05 Matan emphasized importance of experience and knowledge
View all episodes
By AivenThe complexities of real-time data streaming and auto-scaling in the cloud are no joke. But three are solutions to make it more simple and efficient.
In this Data (R)evolution episode, Matan Mizrahi and Filip Yonov join us to discuss how Kafka effectively handles and optimizes data streams, the pursuit of standardized APIs, and the vital role of AI in optimizing complex systems. They also share how AI and open-source tools are transforming the landscape. Tune in to hear about the evolution of data streaming and the transformative impact of AI and cloud-native solutions.
Key Takeaways:
- Emphasize the need for customer-defined scaling logic based on metrics and auto-scaling events for efficient Kafka management.
- The importance of integrating AI, like the Ivan AI database optimizer, to enhance workload optimization and complex system management in Kafka.
- The significance of strategic partner relationships in providing advanced software solutions and necessary knowledge and experience to mitigate risk in critical data infrastructure projects.
Resources:
- Watch the full interview on our YouTube: https://www.youtube.com/@Aiven_io
- Check out our website for more information: https://aiven.io/
- Check out Aiven AI Database Optimizer
- Want to be on our mailing list? Sign up here: https://aiven.io/resources
- Follow us on LinkedIn: https://www.linkedin.com/company/aiven/
- Sign up for our newsletter for more insights on this topic: https://aiven.io/newsletter
- Connect with Matan Mizrahi on LinkedIn: https://www.linkedin.com/in/matan-mizrahi-2106/?originalSubdomain=il
- Connect with Filip Yonov on LinkedIn: https://www.linkedin.com/in/filipyonov/?originalSubdomain=nl
- Check out Claroty: https://claroty.com/
Timestamps:
05:13 Challenges in running and optimizing streaming systems
09:10 Using stream data to produce and consume
12:22 Product manager solves customer problems with new capabilities
16:10 Agreement on system complexity and standard API
18:22 Kafka not yet fully cloud native
23:30 Simplifying cloud setup through productization and self-service
26:17 Hope for AI integration with Kafka, improved management
28:24 AI optimizations, reduce customer pain, lower barriers
32:05 Matan emphasized importance of experience and knowledge