Sorry. A correction to the email sent this morning: The date is July 19th 2018, as the meetup signup page says.
-Yi On Wed, Jun 27, 2018 at 9:36 AM, Yi Pan <nickpa...@gmail.com> wrote: > Just a reminder and some more details of the coming meetup, cheers! > > Hi Kafka, Brooklin and Samza Users, > The Streams Infra team invites you to attend the Streams Processing meetup > <https://www.meetup.com/Stream-Processing-Meetup-LinkedIn/events/251481797/> > on July 19th 2018 This meetup focuses on Apache Kafka, Apache Samza, and > related streaming technologies. We will host the actual event at LinkedIn > Sunnyvale office, and in addition to that, we will also host a "*viewing > room*" from San Francisco.This time we have Xinyu Liu > <https://www.linkedin.com/in/xinyu-liu-b0b21648/> from the Samza team > talking about Apache Beam <https://beam.apache.org/> runner for Samza > <https://iwww.corp.linkedin.com/wiki/cf/display/ENGS/BEAM>. The Beam > runner provides an ability to write-once but execute the same job in > multiple environments (e.g. Hadoop for Batch Processing or Samza in > Nearline). It also opens up possibilities for supporting different > languages for stream processing (e.g. Python Applications on Samza). Our > second speaker Hongliang Xu <https://www.linkedin.com/in/hongliangxu/> is > from the Infrastructure team @Uber. His team recently built uReplicator to > replicate data across Kafka clusters. You can find a blog > <https://eng.uber.com/ureplicator/> about the original version of > uReplicator here <https://eng.uber.com/ureplicator/> for reference. In > his talk, Hongliang will focus on the new version of uReplicator, its > architecture and share some of their learnings .Ajith Muralidharan > <https://www.linkedin.com/in/ajithmuralidharan/> & Vivek Nelamangala > <https://www.linkedin.com/in/viveknelamangala/> from LinkedIn will talk > about how they built a near real time targeting and scoring platform > (Concourse) for LinkedIn Notifications. Concourse is one of the largest > Samza Jobs at LinkedIn and if you are building large scale streaming > applications, this is the talk to attend.Below are some additional > details about the talks. If you are interested to attend, Please RSVP via > meetup.com > <https://www.meetup.com/Stream-Processing-Meetup-LinkedIn/events/251481797/>. > You can also find additional details (streaming link, location, etc.) in > the meetup link > <https://www.meetup.com/Stream-Processing-Meetup-LinkedIn/events/251481797/>. > Hope to see you there! > > > > *Location*: > > Main Event - > > Yosemite Conference Room, LinkedIn Corporate HQ in Sunnyvale. > > 2nd floor of 605 W Maude Ave, Sunnyvale, CA. > > > > Viewing Party - > > Lotta’s Fountain Conference Room, LinkedIn in San Francisco at 222 2nd > Street, San Francisco, CA. > Agenda:6PM: Doors open6-6:35 PM: Networking6:35-7:10 PM: Beam me up > Samza: How we built a Samza Runner for Apache Beam (Speaker: Xinyu Liu, > LinkedIn) > > Apache Beam provides an easy-to-use, and powerful model for > state-of-the-art stream and batch processing, portability across a variety > of languages, and the ability to converge offline and nearline data > processing. At LinkedIn, we have developed a Samza Runner to leverage the > cutting-edge features of Beam. This runner combines the large-scale > streaming processing capabilities and first-class state support in Samza > with the advancements in Beam data processing. In this talk, we will > discuss the Beam API and its implementation in Samza and the benefits of > Beam Runner to the Samza and Beam community. > 7:15-7:50 PM: uReplicator: Uber Engineering’s Scalable Robust Kafka > Replicator(Speaker: Hongliang Xu, Uber) > > At Uber, we operate 20+ Kafka clusters to collect system and application > logs as well as event data from rider and driver apps. We need a Kafka > replication solution to replicate data between Kafka clusters across > multiple data centers for different purposes. This talk will introduce the > history behind uReplicator and the high level architecture. As the original > uReplicator ran into scalability challenges and operational overhead as the > scale of Kafka clusters increased, we built the Federated uReplicator which > addressed above issues and provide an extensible architecture for further > scaling. > 7:55-8:30 PM: Concourse - Near real time notifications platform at > Linkedin (Speakers: Ajith Muralidharan & Vivek Nelamangala, LinkedIn) > > Concourse is LinkedIn’s first near-real-time targeting and scoring > platform for notifications. In this talk, we will provide an in-depth > overview of the design and discuss various scaling optimizations. We'll > explain how Concourse can score millions of notifications per second, while > supporting the use of feature-rich machine learning models based on > terabytes of feature data. > 8:30-9PM: Additional networking and Q&AThank you,Streams Infra @ LinkedIn > > > On Wed, Jun 13, 2018 at 10:56 PM, Yi Pan <nickpa...@gmail.com> wrote: > >> Hi, all, >> >> We have planed for some super-exciting talks at our next Streams Meetup >> on July 19. >> >> * Beam-Samza integration enabling new real time scenarios @ LinkedIn >> * U-Replicator : Uber's multi-datacenter kafka mirroring service >> * Concourse : LinkedIn’s near-real-time targeting and scoring platform >> for notifications built on top of our ML and Stream Processing Infra. >> >> You can sign up at https://lnkd.in/gz3WcWb >> >> This time we will be open at both our Sunnyvale and San Francisco >> office. Looking forward to see you! >> >> Best, >> >> -Yi >> >> >
