Architecting Microservices Applications with Instant Analytics

Apache Kafka®️ 비용 절감 방법 및 최적의 비용 설계 안내 웨비나 | 자세히 알아보려면 지금 등록하세요

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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

Tim은 Confluent의 개발자 관계 부문 부사장으로서, 팀원과 함께 모든 개발자가 스트리밍 데이터와 새로운 도구 세트에 액세스할 수 있도록 노력하고 있습니다. 컨퍼런스에서 정기적으로 연사로 활동하며 YouTube에서 복잡한 기술 주제를 알기 쉽게 설명합니다. 현재 미국 캘리포니아주 마운틴뷰에서 아내, 의붓딸과 함께 살고 있습니다. 슬하에 장성한 자녀 셋, 의붓자식 셋, 손주 넷이 있습니다.

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.