Challenges Using Apache Kafka for Data Streaming Systems

Explore the challenges of using Apache Kafka and compare it with Confluent Cloud in this informative 11-minute video. Learn about the key capabilities required for effective data streaming systems, including data ingestion, development experience, management, security, performance, and maintenance. Discover how self-managed platforms like Apache Kafka can meet these needs but may come with high costs and intensive maintenance requirements. Contrast this with Confluent Cloud's fully-managed services, which offer features such as scalable performance, auto-balancing, tiered storage, and enhanced security and resiliency. Understand how Confluent Cloud provides systematic updates and maintenance, allowing users to focus on their core business rather than infrastructure concerns. Gain insights into streamlining the creation of a global, well-governed data streaming platform. Access a hands-on experience to further explore these concepts and deepen your understanding of data streaming systems.

Introduction
Data Streaming Platform
Capabilities
Options
Conclusion