I will discuss the experience at LinkedIn and elsewhere moving from batch-oriented ETL to real-time streams using Apache Kafka. I’ll talk about how the design and implementation of Kafka was driven by this goal of acting as a real-time platform for event data.
This talk will discuss the problems faced in the modern data center, and how a set of innovative open source tooling can be used to tame the rising complexity curve. Join me on an adventure with Vagrant, Consul, and Terraform as we take your data center from chaos to control.
In this talk, Benjamin Hindman (one of the original creators of the Apache Mesos project) will discuss Apache Mesos and how it can be used to more easily build and run distributed systems.
Go is a natural fit for building web applications and services. Over the last few years the Go community has been busy creating better tools for web development in Go.
Massively concurrent systems are the future, and shared data mutability is the obstacle to getting there. Where does that leave imperative languages like Java, that depend on mutation?
For Java programmers, looping over a collection is the time-honored
way of processing data. Now, from Java 8 onwards, we will instead be
writing stream programs – more concise, more expressive, and more
maintainable. But how fast will they be?
If you’re interested in visualizing data on the Internet, the best way to do it is to use the JavaScript library, D3. Short for data-driven documents, D3 works by marrying your data to your web page, a glorious union that enables you to sculpt that web page into a graphical display which mirrors exactly the structure of your data.
Ember is the only front-end framework that prides itself on being a complete, off-the-shelf solution for building ambitious JavaScript
applications. In this talk, Tom will take you on a tour of the highlights of this battle-tested framework.
Join Aaron as he explores ways to identify and deal with bad robots. He will show you what to look for, how to sort good bots from bad, and what to do with the information once you have it. It will help you deal more efficiently with scrapers, crawlers, scanners, fraudsters, and general malicious activity on your systems and gain some much needed confidence and visibility into the types of traffic you actually get on a day to day basis.
This talk will start by looking at some of the less well-understood problems with multi-threaded programming—everyone knows about deadlock and livelock, but do you know what the memory model says about concurrent code, and why that makes it even harder to write than you thought?
