Event Streaming and Serverless Functions

  • Real-Time Performance Analysis of Data-Processing Pipelines with Spring Cloud Data Flow, Micrometer1:12:08

    Real-Time Performance Analysis of Data-Processing Pipelines with Spring Cloud Data Flow, Micrometer

    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

    Watch Video
  • Event Driven with Spring1:07:18

    Event Driven with Spring

    In the world of cloud-native distributed architectures, such as microservices, “event driven” is more popular than ever. But it's a broad category that covers a variety of use cases, ranging from a si

    Watch Video
  • Beyond Caching: Extending Redis Enterprise for Real-Time Streams Processing25:59

    Beyond Caching: Extending Redis Enterprise for Real-Time Streams Processing

    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

    Watch Video
  • Apache Kafka Event-Streaming Platform for .NET Developers1:12:14

    Apache Kafka Event-Streaming Platform for .NET Developers

    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

    Watch Video
  • High-Performance Data Processing with Spring Cloud Data Flow and Geode34:21

    High-Performance Data Processing with Spring Cloud Data Flow and Geode

    High-performance data pipelines and in-flight data processing have become the cornerstone of most enterprise data platforms. Pipeline development uniquely combines experienced software development wit

    Watch Video
  • RabbitMQ & Kafka1:09:16

    RabbitMQ & Kafka

    When should I use RabbitMQ and when should I use Kafka? This is a question we're asked all the time on our team. In this talk, we'll walk through the different architecture and design of these two po

    Watch Video
  • From Monolith to riff Functions31:43

    From Monolith to riff Functions

    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

    Watch Video
  • From Mainframe to Microservices with Pivotal Platform and Kafka: Bridging the Data Divide34:49

    From Mainframe to Microservices with Pivotal Platform and Kafka: Bridging the Data Divide

    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

    Watch Video
  • Streaming with Spring Cloud Stream and Apache Kafka59:26

    Streaming with Spring Cloud Stream and Apache Kafka

    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

    Watch Video
  • Event-Driven Architectures for Spring Developers1:09:45

    Event-Driven Architectures for Spring Developers

    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

    Watch Video
  • Event-Driven Java Applications with Redis 5.0 Streams25:54

    Event-Driven Java Applications with Redis 5.0 Streams

    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

    Watch Video
  • Spring Cloud Function: Write Once, Run Anywhere (For Real!)1:10:02

    Spring Cloud Function: Write Once, Run Anywhere (For Real!)

    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

    Watch Video
  • loading
    Loading More...