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All of our resources, all in one place. Search to find exactly what you're looking for or filter by the topic or type of content to get started.
See how banks and financial institutions use real-time data streaming to modernize systems, enable instant payments, reduce fraud, and meet compliance needs. Authored by Kai Waehner, Confluent’s Global Field CTO.
Learn why most AI projects stall before production and why context, not bigger models, is the missing piece. Discover the pillars of Context Engineering and a practical framework for unifying architecture for continuous context so your AI agents and applications act on fresh info to deliver ROI.
Explore how manufacturing and automotive leaders use data streaming to boost efficiency, enable real-time decisions, and drive innovation. This ebook shares key trends, use cases, and customer stories from BMW Group, PAUL Tech AG, and more. Download now to get inspired.
Migrating your Kafka deployment to IBM Confluent might seem daunting, but it doesn’t have to be. This kit aims to instill confidence in those contemplating adopting IBM Confluent for their data streaming solution. Think of this as a comprehensive guide that demonstrates how migrations are achievable.
Managing Kafka at scale can pull engineering teams away from the work that drives innovation. This guide examines common Kafka deployment approaches, reveals the hidden costs of self-management and highlights practical patterns for building scalable, governed and AI-ready streaming applications.
This one-pager examines why traditional observability stacks become more costly and complex as operational data volumes grow. Discover how a shared data streaming backbone can help teams maintain visibility during demand spikes, route telemetry to multiple downstream systems and change observability tools without rebuilding data pipelines.
Every click, transaction, deployment, service call and model response generates a signal about what's happening across your business. Most organizations already collect that data. The challenge is turning growing volumes of telemetry into the visibility, reliability and responsiveness modern digital businesses require.
Explore insights from 4,625 IT leaders on how data streaming platforms are accelerating AI adoption, powering agentic AI, delivering measurable ROI, and helping organizations turn real-time data into competitive advantage.
Modern fraud technology calls for a modern fraud detection approach, and that requires real-time data. Industry leaders from Capital One, RBC, and more are detecting fraud using data streaming to protect customers in real time.