Whitepapers
Explore our whitepapers and product collateral on Apache Kafka, real-time data streaming and governance.
How banks migrate from batch processing to event streaming architecture
Event-driven architecture (EDA), data streaming, and Kafka-like systems improve scalability, reliability, and responsiveness of applications. Compared to synchronous or batch-based integrations, event-driven architecture reduces downtime, operational overhead, and the impact of system outages. For banking institutions, event streaming supports: Continuous processing instead of scheduled batch windows Independent communication between systems Persistent and retryable interactions Scalable dashboards and data processing Faster response to changing conditions
A Ceasefire Is Not a Strategy - Digital Sovereignty Is
Why Europe’s Response to Short-Term Stability Is the Real Risk and What Digital Sovereignty Means for Your Business
5 stages of event-driven architecture with Kafka
The journey from early-stage exploration to a fully integrated, secure, organization-wide Kafka is complex and potentially high- risk for enterprise organizations.