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Data Streaming

Event-Driven Microservices in Banking and Fraud Detection | Designing Event-Driven Microservices

How do we know whether Event-Driven Microservices are the right solution? This is the question that Tributary Bank faced when they looked at modernizing their old fraud-detection system. They were faced with many challenges, including scalability, reliability, and security. Some members of their team felt that switching to an event-driven microservice architecture would be the magic bullet that would solve all of their problems. But is there any such thing as a magic bullet? Let's take a look at the types of decisions Tributary Bank had to make as they started down this path.

Q&A: Events, Eventing, and Event-Driven Architectures | The Duchess & The Doctor Show

For their inaugural episode, Anna McDonald (the Duchess), Matthias J. Sax (the Doctor), and their extinct friend, Phil, wax rhapsodic about all things eventing: you’ll learn why events are a mindset, why the Duchess thinks you’ll find event immutability relaxing, and why your event streams might need some windows. The Duchess & The Doctor Show features a question-driven format that delivers substantial, yet easily comprehensible answers to user-submitted questions on all things events and eventing, including Apache Kafka, its ecosystem, and beyond!

Confluent Unveils New Capabilities to Apache Flink Offering to Simplify AI and Bring Stream Processing to Workloads Everywhere

Confluent's new AI Model Inference seamlessly integrates AI and ML capabilities into data pipelines. Confluent's new Freight clusters offer cost-savings for high-throughput use cases with relaxed latency requirements.

Event-Driven Architecture (EDA) vs Request/Response (RR)

In this video, Adam Bellemare compares and contrasts Event-Driven and Request-Driven Architectures to give you a better idea of the tradeoffs and benefits involved with each. Many developers start in the synchronous request-response (RR) world, using REST and RPC to build inter-service communications. But tight service-to-service coupling, scalability, fan-out sensitivity, and data access issues can still remain.

Confluent Connectors | Fast, frictionless, and secure Apache Kafka integrations

Every company faces the perennial problem of data integration but often experiences data silos, data quality issues, and data loss from point-to-point, batch-based integrations. Connectors decouple data sources and sinks through Apache Kafka, simplifying your architecture while providing flexibility, resiliency, and reliability at a massive scale.

How to Unlock the Power of Event-Driven Architecture | Designing Event-Driven Microservices

An Event-Driven Architecture is more than just a set of microservices. Event Streams should represent the central nervous system, providing the bulk of communication between all components in the platform. Unfortunately, many projects stall long before they reach this point.