Streaming & MCP

Build real-time analytics with streaming intelligence. Kafka integration, MCP architecture, and production deployment guides.

Streaming Intelligence: Real-Time Analytics Beyond BI

Data warehouses deliver yesterday's insights. Streaming Intelligence processes ERP events, IoT telemetry, and business transactions in real-time—enabling fraud detection in milliseconds, dynamic pricing, and predictive maintenance without batch delays. Production-proven on SAP, Oracle, and Dynamics.

Author:

Dr. Mirko Kämpf

DLQ AI Agent: Intelligent Dead Letter Queue Routing

Dead Letter Queues accumulate failed messages that require manual triage. Our DLQ Agent uses AI to automatically classify failure reasons, route to appropriate handlers, and suggest remediations—turning a compliance headache into an intelligent self-healing system with complete audit trails.

Author:

Dr. Mirko Kämpf

Kafka AI Integration: Smart Topics with Scalytics Connect

Standard Kafka topics lack the intelligence for AI workloads. Scalytics Smart Topics add CRUD operations, automatic indexing, and embedded ML inference directly in your streaming pipeline—eliminating the need for separate feature stores and reducing AI latency from minutes to milliseconds.

Author:

Dr. Mirko Kämpf

MCP + Kafka Architecture: Secure Agentic AI at Scale

Model Context Protocol (MCP) connects AI agents to live data, but production deployments need enterprise security. This architecture guide covers MCP-Kafka integration patterns, authentication flows, rate limiting, and audit logging for regulated industries deploying agentic AI systems.

Author:

Dr. Mirko Kämpf