Track: High Performance Streaming Data


Day of week:

Designing, implementing and deploying complex computing systems that must maintain very high rates of real time data is part craft, part science and part art. These sophisticated systems bring to the foreground many areas of expertise: CPU architecture, storage, networking, and distributed algorithms, just to name a few. In this track some of the most interesting aspects of streaming data systems will be explored with plenty of real world experience, effective approaches and exciting new directions.

10:35am - 11:25am

by Viktor Klang
Deputy CTO at Typesafe Inc.

In this presentation we'll explore fast data streaming using Akka Streams—how to design robust transformation pipelines with built-in flow control, able to take advantage of multicore and going over networks. We'll discuss the traditional pitfalls and how they can be overcome as well as explore how we can build reusable pieces of pipeline logic that we can reuse—a smorgasbord of transformations.

11:50am - 12:40pm

by Todd Montgomery
Ex-NASA researcher, Chief Architect, Kaazing

Data velocity, variety, and volume aren’t trending downward and handling them in real-time is no longer the responsibility of a select few. Today, almost all systems need to be responsive, show results and effects immediately, and do so while handling ever increasing rates and complexity. There are a lot of viable techniques to handle these three challenges. And a lot of non-viable techniques. In this session, we will challenge some of the common myths and misconceptions about high...

1:40pm - 2:30pm

by Neha Narkhede
Key contributor to Apache's Kafka & Samza

Since it was open sourced, Apache Kafka has been adopted very widely from web companies like Uber, Netflix, LinkedIn to more traditional enterprises like Cerner, Goldman Sachs and Cisco. At these companies, Kafka is used in a variety of ways - as a pipeline for collecting high-volume log data for load into Hadoop, a means for collecting operational metrics to feed monitoring and alerting applications, for low latency messaging use cases and to power near realtime stream processing.


2:55pm - 3:45pm

by Justin Becker
Senior Software Engineer at Netflix

by Neeraj Joshi
Senior Software Engineer on the Netflix Edge team

Netflix customers stream billions of hours of content each month. The infrastructure to support this volume of traffic is large, distributed, and complex. To help operate an infrastructure, at this scale, requires new and innovative approaches to insights. The Edge Operational Intelligence Team is building a Reactive Stream Processing System, called Mantis, to power these next generation insight tools.

In this talk we describe Mantis, discuss challenges associated with designing for...

4:10pm - 5:00pm

by Tony Ng
Director of Engineering, Ebay

by Sharad Murthy
Distinguished Member of Technical Staff, Architect at eBay, Inc

Enterprises are Increasingly demanding realtime analytics and insights to power use cases like personalization, monitoring and marketing. In this talk we will present Pulsar, a realtime streaming system which can scale to millions of events per second with high availability and 4GL language support. Pulsar provides realtime sessionization, multi-dimensional metrics aggregation over time windows and custom stream creation through data enrichment, stateful processing and filtering using SQL-...

5:25pm - 6:15pm

Open Space

Streaming data open space

Host: Todd Montgomery Ex-NASA researcher, Chief Architect, Kaazing


Wednesday Jun 10

Thursday Jun 11

Friday Jun 12