Join us in San Jose at Adobe HQ for a meetup with Ben Hindman, founder of Mesosphere and co-creator of Apache Mesos and DC/OS. We'll have food, drink, and a presentation about managing microservices and fast data systems on a single platform.
To claim your spot, please follow this link (https://www.eventbrite.com/e/ben-hindman-founder-of-apache-mesos-and-dcos-speaks-at-adobe-hq-tickets-34707842090) and sign up through Eventbrite (https://www.eventbrite.com/e/ben-hindman-founder-of-apache-mesos-and-dcos-speaks-at-adobe-hq-tickets-34707842090). Please note: For security purposes at the Adobe campus, a name and email address are required for attendees.
How Fast Data and Microservices Change the Datacenter
The application landscape inside our datacenter is changing: Along with the trend of moving toward microservices and containers, there are a number of new distributed data processing frameworks such as Kafka or Flink being released on a weekly basis. These changes have implications for the ways we think about infrastructure. With the growing need for computing power and the rise of distributed applications comes the need for a reliable and simple-use cluster manager and programming abstraction.
In this talk, Ben Hindman, the founder of Apache Mesos and co-founder of Mesosphere will explain how Apache Mesos and DC/OS manage microservices and fast data systems on a single platform. He’ll look at how container orchestration, including resource management and service management, can be streamlined to process fast data in a matter of seconds, allowing for predictive user interfaces, product recommendations, and billing chargeback, among other modern app components. Join us to meet with Ben and talk to him about solutions for your enterprise apps.
Benjamin Hindman is a founder and chief architect at Mesosphere, where he leads a team building out core services for the Mesosphere Data Center Operating System (DC/OS). Ben co-created Apache Mesos as a PhD student at UC Berkeley before bringing it to Twitter, where it now runs on tens of thousands of machines powering Twitter's datacenters. An academic at heart, his research in programming languages and distributed systems has been published in leading academic conferences.