Resources

Download this Forrester study to understand the economic benefits of Confluent Cloud.

Learn the challenges of traditional messaging middleware, hindering innovation, low fault tolerance at scale, ephemeral persistence limiting data usage for analytics, and soaring technical debt and operational costs.

How to effectively build and scale retrieval-augmented generation (RAG) for real-time Generative AI applications using Confluent’s Data Streaming Platform. Leverage connectors, Flink, and stream governance across 4 steps: data augmentation, inference, workflows, and post-processing.

Learn about the components of Confluent Enterprise, key considerations for production deployments, and guidelines for selecting hardware or deployment with different cloud providers.

Learn how to successfully implement a data mesh and build data products using Confluent’s data streaming platform, leveraging connectors, stream processing, and Stream Governance.

Why an event-driven data mesh built on Apache Kafka provides the best way to access important business data and unify the operational and analytical planes.

See BMW, Michelin, and Siemens use Apache Kafka for event-driven systems and how your manufacturing organization run event-driven microservices with data streaming.

Shoe retailer NewLimits is struggling with decentralized data processing challenges and needs a manageable, cost-effective stream processing solution for an important upcoming launch. Join developer Ada and architect Jax as they learn why Apache Kafka and Apache Flink are better together.