Point-to-Point vs Publish/Subscribe | Designing Event-Driven Microservices скачать в хорошем качестве

Point-to-Point vs Publish/Subscribe | Designing Event-Driven Microservices

► LEARN MORE: https://cnfl.io/microservices-101-mod... Communication between microservices can be broadly categorized as either point-to-point or publish/subscribe. Point-to-point is often used synchronously, while publish/subscribe tends to be asynchronous. Each of these techniques can have a place in a modern microservices platform, but it is important to understand the role each one plays so that they can be used effectively. Check out the Designing Event-Driven Microservices course on Confluent Developer for more details: https://cnfl.io/microservices-101-mod... RELATED RESOURCES ► Publish-Subscribe - Intro to Pub-Sub Messaging: https://cnfl.io/497ygk4 ► Microservices—An Introduction: https://cnfl.io/3ZMt3up ► Event-Driven Microservices Architecture: https://cnfl.io/48FSYbj ► Migrate from Monoliths to Event-Driven Microservices: https://cnfl.io/3tsqlhu ► Microservices course playlist: https://bit.ly/designing-event-driven... ► Get Started on Confluent Developer: https://cnfl.io/48FnKRB CHAPTERS 00:00 - Intro 00:25 - Real World Communication 01:28 - Point-to-Point Communication 01:53 - Point-to-Point Advantages 02:34 - Point-to-Point Disadvantages 03:51 - Publish/Subscribe Communication 04:28 - Publish/Subscribe Advantages 05:21 - Publish/Subscribe Disadvantages 06:17 - Closing -- ABOUT CONFLUENT Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit www.confluent.io. #microservices #apachekafka #kafka #confluent