Personal schedule for Boris Livshutz

You have your shiny new PostgreSQL source tarball or package, but what to do with it? In one intense tutorial, we'll go through everything need to install, configure, and maintain your new, tuned, replicated, back-uped PostgreSQL installation. Read more.

Deploying things at scale can get hard and complicated, wouldn't it be nice if deploying services was as easy as using apt-get? With Ubuntu and juju you can deploy over 80 services to AWS, HP Cloud, OpenStack, or bare metal with really simple commands. This talk will show you what juju is, how it works, and how it can save you time by showing you how to write juju charms. Read more.

Learn how to build apps on a unified open source API combining data from Facebook, Twitter, Google, Github, Foursquare, Instagram, Tumblr, Linkedin, Fitbit, Wordpress, Runkeeper, Dropbox, and more, includes hands-on hack time to get a working dev environment up and running. Read more.

The Apache Hadoop project is becoming the de-facto big-data platform. The community is gearing up the first major release of Hadoop in over 2 years. This talk will cover the major highlights of the release and also the mechanics of what it takes to deliver a major Hadoop release. Arun C Murthy is VP, Apache Hadoop at ASF and the Release Manager for this release. Read more.

The speakers recently stumbled across a time machine containing a system built in Java 8 technology which has fallen back in time. This talk will explain some of the advanced features and future code archeology of this amazing find! Read more.

Data systems have struggled to keep up with the rapid growth of application data. As a result, many have turned to sharding their data as a solution. These new complex systems or "data clouds" present a new array of challenges. In this session we'll discuss best practices around monitoring and managing your data cloud. Read more.

Building sensor networks, while challenging, can be a data rich endeavor. But what do you do with all of the data you collect? How do you store and make sense of the results? Where do you store the information? This session explores the options available and demonstrates how to store the data in a database system for easy retrieval. Read more.

Using the AWS infrastructure, affordable third party services and solid Open Source Software, this talk will focus on setting up a solid operations environment and practice that will scale with your site. Read more.

The "cloud stack" development environment—one that lets you not just build cloud-based app for the web, but actually build them while on the Web—is a reality. Using open source, standardized software and management tools, it’s now possible to code, test, debug, and deploy web based solutions; all from a modern browser. Read more.

HP’s public cloud is built on OpenStack open-source cloud technology. The OpenStack project has rapidly been adopted as the leading open source cloud solution because it avoids vendor lock-in, and is ubiquitous across public, managed and private clouds. Read more.

Learn how GoDaddy.com built its Cloud Computing IaaS product with a team of less than 10 people. See how we leveraged open source and existing technologies to accelerate our development, what worked, and what didn’t. Learn how we built a reliable infrastructure on top of non-reliable messaging and an eventually consistent model using Redis, Apache CouchDB, Node.js, and Apache ZooKeeper. Read more.

Web developers dream of continuous deployment: new code in production without a hitch. In this talk I'll cover the full story from building deployable code through working out a build and release process through continuous integration, automation, and continuous deployment. We'll also look at deployment velocity and why CD might not be for you. Read more.

This session explores the concept of the network as a source of truth for distributed applications and offers a deep-dive into higher-level problems that often manifest early at level 3. Tying network and application behavior together offers a powerful cocktail for finding and fixing problems in distributed applications quickly while also ensuring timely responses to clients spread across the net. Read more.

Message Queues are a hot topic, but not all are created equal. After reviewing most of the popular choices, I will review my findings and offer suggestions for which to use when, and pros and cons of each. On the list are RabbitMQ, Kafka, Apache Qpid, Kestrel, ZeroMQ and more as time permits. Read more.

This session demonstrates how to troubleshoot the common problems that lead to hung and slow Java applications by going through case studies derived from actual problems we have seen on our production systems. Each case study is accompanied by a live demo of the tool best suited for troubleshooting that particular problem. Read more.