Architecting Microservices Applications with Instant Analytics

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Visionner

The next generation architecture for exploring and visualizing event-driven data in real-time requires the right technology. Microservices deliver significant deployment and development agility, but raise questions of how data will move between services and how it will be analyzed. This online talk explores how Apache Druid and Apache Kafka® can turn a microservices ecosystem into a distributed real-time application with instant analytics. Apache Kafka and Druid form the backbone of an architecture that meet the demands imposed on the next generation applications you are building right now.

Join industry experts Tim Berglund, Confluent, and Rachel Pedreschi, Imply, as they discuss architecting microservices apps with Druid and Apache Kafka.

Tim BerglundVP of Developer Relations

Tim est vice-président Developer Relations chez Confluent. Avec son équipe, il se consacre à démocratiser l'accès aux données de streaming (et aux outils émergents qui y sont associés) pour tous les développeurs. Il intervient régulièrement lors de conférences et est présent sur YouTube pour expliquer des sujets technologiques complexes de manière accessible. Il vit avec sa femme et sa belle-fille à Mountain View, en Californie.

Rachel PedreschiWorldwide Director of Field Engineering

Rachel Pedreschi is the Field Engineering Director at Imply Data. A "Big Data Geek-ette," Rachel is no stranger to the world of big data, fast data, and everything in between. She is a Vertica-, Informix-, and Redbrick-certified DBA on top of her work with Apache Cassandra, Apache Ignite, and Apache Druid. She has more than 20 years of high-performance database experience. Rachel has an MBA from San Francisco State University and a BA in Mathematics from University of California, Santa Cruz.