Event Streaming and Serverless Functions

Real-time monitoring is a critical capability for building and operating distributed, data-intensive applications at scale. While Spring Cloud Data Flow (SCDF) helps you orchestrate streaming and batc

Real-time streaming data ingestion is a common application requirement. In industries like IoT, e-commerce, communications, entertainment, finance, and retail, where so much depends on timely and accu

When it comes time to choose a distributed messaging system, everyone knows the answer: Apache Kafka. But how about when you’re on the hook to choose a world-class, horizontally scalable stream data p

Functions-as-a-Service (FaaS) platforms like riff enable users to deploy serverless applications. Serverless applications are event driven and are made up of small “functions” that are chained togethe

Express Scripts, a Cigna corporation company, is reimagining its data and software architecture to bring best-in-class user experience and provide the foundation of next-generation applications. The c

In this talk, we'll explore how Spring Cloud Stream and its support for Apache Kafka can streamline the process of developing event-driven microservices that use Apache Kafka and its high-throughput c

Developers have long employed message queues to decouple subsystems and provide an approximation of asynchronous processing. However, these queuing systems don’t adequately deliver on the promise of e

Events are all around. With Redis Streams, we can capture those and store them in Redis. Redis Streams represent a journal-like data structure that allows sequential processing of messages. Let’s hav

In the advent of volatile cloud-native, distributed architectures ranging from enterprise integration to data streaming to microservices, how can one avoid getting sucked into the vendor/product-speci