Kafka is the leading choice for data in motion for more than 80% of the Fortune 100 companies. Although Kafka possesses powerful and transformative capabilities, it requires dedicated personnel, resources and infrastructure to set up, configure, monitor and manage. And, like most distributed systems, operating it requires careful consideration of networking, resource allocation, faults and recovery.

This paper explores 6 common risk areas that jeopardize Kafka projects, including:

• Lack of expertise and resources
• Difficulty moving from development to production
• Unpredictable outages and downtime
• Difficulty securing streaming data
• Lack of governance
• Difficulty scaling

Discover how the IBM Confluent private cloud platform has built technology around Kafka that’s designed to reduce risk, speed time to streaming excellence and create sustained value.

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