Whitepapers

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Read all Apache Kafka Whitepapers

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

Mastering Strimzi for Enterprise-Grade Kafka Deployments

This whitepaper guides deploying and managing Apache Kafka using Strimzi in an enterprise environment. Apache Kafka is a powerful distributed streaming platform, but its deployment and management can be complex and challenging, especially at scale. Strimzi simplifies these tasks by offering Kubernetes-native solutions for Kafka operations. This whitepaper addresses enterprises' common challenges with Kafka deployments and presents best practices for leveraging Strimzi to achieve scalable and reliable Kafka solutions.

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.

Data Governance & the Road to Compliance with Apache Kafka

How to create secure, controlled data access for all

Future Control Room Architectures for Grid and Market Integrated Operation

Current SCADA control rooms play a central role within the organization and distribution of energy.