Personal schedule for Rod Cope
Download or subscribe to Rod Cope's schedule.
Joe Gregorio (Google)
Average rating:
(3.44, 16 ratings)
Overview of App Engine and its major components, including an overview of the APIs the SDK provides, the underlying technologies App Engine is built on. Tutorial is a hands on event where we will build multiple applications over three hours exploring many of features and APIs in App Engine.
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Scott Chacon (GitHub)
Average rating:
(4.31, 13 ratings)
Git is a new distributed version control system that is fast, flexible, works offline and supports powerful local branching and easy merging that encourages non-linear workflows and makes developers far more productive and efficient.
This tutorial will introduce you to Git, rid you of your SVN sins, and teach you how to become more efficient and productive as a programmer.
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Edd Dumbill (Silicon Valley Data Science)
Average rating:
(3.53, 19 ratings)
Few applications are architecturally simple. As soon as you grow, you find yourself using multiple subsystems and machines to scale, creating new headaches in configuration management. Help is at hand! This tutorial introduces Chef, a modern Ruby-based open source approach to systems integration. Chef lets you manage your servers by writing code, not running commands.
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Francesco Cesarini (Erlang Solutions Ltd)
Average rating:
(4.67, 9 ratings)
Practical Erlang Programming covers the basic, sequential and concurrent aspects of the Erlang programming language. You will learn the basics of how to read, write and structure Erlang programs. The target audience are software developers and engineers with an interest in server side applications and massively concurrent systems. The perquisites are basic programming knowledge.
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Eric Day (craigslist),
Brian Aker (HP)
Average rating:
(3.82, 11 ratings)
This tutorial will show you how to get started with Gearman, the flexible job queuing system used to power websites such as LiveJournal and Digg. We'll cover common architectures, installation, APIs, and deployment. A few use cases will be described and built, including a Map/Reduce cluster and database-driven URL mining application.
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Average rating:
(3.88, 8 ratings)
Semantic Technologies provide a simple, standardized methodology for representing, combing and sharing data and serve as the foundation for creating communities of open data. These technologies are both easy to learn and easy to use. This tutorial will introduce you to semantic programming using a variety of open source tools and programming techniques that you can use on your projects today.
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Theo Schlossnagle (OmniTI/Circonus)
Average rating:
(4.13, 23 ratings)
Internet traffic spikes aren't what they used to be. It is now evident that even the smallest sites can suffer the attention of the global audience. This presentation dives into techniques to avoid collapse under dire circumstances. Looking at some real traffic spikes, we'll pinpoint what part of the architecture is crumbling under the load; then, walk though stop-gaps and complete solutions.
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Ian Dees (Tektronix)
Average rating:
(3.75, 4 ratings)
The iPhone and the Cucumber test framework have something in common, besides the adoration of geeks. They're both designed to get out of your way, so you can think about the task at hand. So it's only natural that we'd want to use our favorite framework to drive apps on our favorite phone.
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Jonathan Steinert (SixApart)
Average rating:
(2.48, 23 ratings)
Many people know how to use memcached, the popular caching system powering much of web1+. Most folks, though, don't know how not to use it, and how improper usage can cause data problems, poor site/application performance, and an incredibly grumpy DBA. Learn what memcached is good for, and what it's not good for from those that have learned the wrong way.
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Steve Souders (Google)
Average rating:
(3.95, 19 ratings)
Steve Souders, author of High Performance Web Sites and creator of YSlow, discusses his new insights into faster web pages including how to load JavaScript asynchronously, optimizing CSS, and sharding resources across multiple domains.
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Eric Day (craigslist),
Brian Aker (HP)
Average rating:
(4.11, 19 ratings)
Come learn the fundamentals of how to leverage Gearman, the open-source, distributed job queuing system. Originally designed to scale LiveJournal.com, Gearman is now faster than ever and can help you build your own scalable applications. Gearman's generic design allows it to be used as a building block for almost any use - from speeding up your website to building your own Map/Reduce cluster.
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Rick Clark (Cisco Systems),
Søren Hansen (Canonical Ltd.)
Average rating:
(3.09, 11 ratings)
A discussion and demonstration on building and managing a private cloud using Ubuntu Server, and Eucalyptus
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Mike Olson (Cloudera)
Average rating:
(2.82, 17 ratings)
Hadoop is a powerful open source tool for analyzing large volumes of data. I'll provide an overview of Hadoop's architecture and describe some real-world use cases.
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Michael Driscoll (Metamarkets)
Average rating:
(3.61, 18 ratings)
The age of Big Data demands open-source tools that move beyond storage towards analytics: tools to turn terabytes into insights. R is an open-source language for statistical computing and graphics, and an extensible, embeddable tool for the analysis of large data sets. In this session, I showcase R's power by building predictive models for Brazilian soybean harvests and baseball slugger salaries.
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Average rating:
(3.00, 2 ratings)
Using JRuby, apps created with Ruby frameworks like Rails or Merb can now be deployed to Google's highly scalable infrastructure. This talk, will provide an overview of App Engine, with attention to current features and apis. We will also show some demos, including deployment to the production environment, and provide some insight into (and best practices for) using the App Engine Datastore.
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Rod Cope (OpenLogic, Inc.)
Average rating:
(4.00, 1 rating)
Rails caching is difficult and complicated. It takes some work to set it up, but it's even harder to make sure you always clear the right cache when data gets changed. This session demonstrates how to build an automatic generation-based action caching mechanism built on memcached that can handle edits from any angle while guaranteeing that users never see stale data.
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Francesco Cesarini (Erlang Solutions Ltd)
Average rating:
(3.75, 8 ratings)
This talk will introduce Erlang, expanding on what the hype is all about. It will provide a high level technical overview, looking at its concurrency model and distribution models, software upgrade during runtime and scalability on multicore. It will describe its ever expanding community and domains of use, with examples on open source applications, commercial products and research projects
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Dan Diephouse (MuleSoft),
Paul Brown (Multifarious, Inc)
Average rating:
(3.33, 12 ratings)
What would you do if you were tasked with building a Twitter clone which was highly scalable, made from open source components and deployed in this infamous thing we call the cloud?
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Jonathan Ellis (DataStax)
Average rating:
(4.00, 9 ratings)
Cassandra is a third-generation open source distributed database that
marries Bigtable's rich data model with Dynamo's aggressive simplicity
to produce a uniquely compelling alternative to traditional relational
databases.
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Bradford Stephens (Drawn to Scale)
Average rating:
(3.14, 7 ratings)
The end of "scale-up" computing is near. The coming wave of web-scale
data is too big to justify exponentially increasing hardware costs for
decreasing returns. Apache's "Cloud Stack" (Hadoop, Lucene, HBase,
etc) is enabling Visible Technologies to move from a non-scalable
MS-exclusive platform to a large cluster processing millions of pieces
of content a day.Here's what we learned.
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Jonathan Ellis (DataStax)
Average rating:
(3.85, 13 ratings)
Replication. Partitioning. Relational databases. Bigtable. Dynamo.
There is no one-size-fits-all approach to scaling your database, and the CAP theorem proved that there never will be. This talk will explain the advantages and limits of the approaches to scaling traditional relational databases, as well as the tradeoffs made by the designers of newer systems like Google's Bigtable.
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