Introduction to Hybrid and Multicloud Architecture | Hybrid and Multicloud Architecture скачать в хорошем качестве

Introduction to Hybrid and Multicloud Architecture | Hybrid and Multicloud Architecture

► TRY THIS YOURSELF: https://cnfl.io/hybrid-and-multicloud... Most organizations today are a mix of cloud and on-premise systems. These mixed environments often come about piecemeal as departments add cloud providers, the company retains their on-premise systems and applications, or possibly through a new acquisition. Streaming data provides a mechanism to join systems asynchronously so they can handle long distances, high latency, or unpredictable connections with relative ease. These two transitions, while relatively new, have the potential to be some of the most impactful and important shifts in the industry in a long time. Customers expect our systems to work unilaterally - wherever the servers are located. Data should be accessible to everyone that needs it no matter where they or the systems are located. In this course, we’ll cover everything you need to be successful in building real-time multicloud and hybrid-cloud systems. Systems that span continents and clouds. There are three tools that can achieve this: the open-source MirrorMaker 2, Confluent Replicator, and Cluster Linking. For a complete IMMERSIVE HANDS-ON EXPERIENCE: https://cnfl.io/hybrid-and-multicloud... 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. #distributedsystems #cloudarchitect #apachekafka #kafka #devops #confluent