~/conference

Big Ruby 2013

date:2013-02-28
location:Dallas, TX, United States
series:bigrubyconf.com · 2 editions
editions:[Big Ruby 2013, Big Ruby 2014]

Rails developers, devops engineers, site reliability engineers, platform engineers, operations engineers, data engineers, engineering managers

EventMachine and Celluloid IO; Capistrano orchestration workflows; Puppet with Hiera; vagrant multi-node prototyping; Chef resource and file edits; Rails horizontal scaling patterns; memcache-backed model caching; Resque background processing; avro raw data capture; webhook plus polling ingestion

titleauthorlength
KeynoteJim Weirich49m
A real project builds a TCP-based drone manager that pumps messages between devices and a monitor, reduces Java’s ~4,000 lines to ~300–400 (a 10x savings in…
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DevOps for the Rubyist SoulJohn Downey37m
Explains how Braintree actually runs a Ruby-centered DevOps stack: orchestration with Capistrano, configuration with Puppet + Hiera, a git-branch→environment…
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How to Overcome the Apathy of Big DataMatt Kirk31m
Claim: start with a goal and cut noise to the handful of variables that actually move outcomes. Demonstrations include a tweet classifier built in Ruby using…
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Services and Rails: The Shit They Don't Tell YouBrian Morton28m
A clear playbook emerges: a 300+ model, 200 controller Rails monolith backed by 20+ JVM services and some endpoints doing over a billion requests a day turns…
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Move fast and make thingsAdam Keys45m
Argues for resisting heavyweight tools, managing dependencies, and using short analytics spike in a weekend experiments to shrink big problems into doable…
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5 Things You Didn't Know About ChefJoshua Timberman42m
Five concrete takeaways: use Chef::Util::FileEdit (or the community line cookbook) to change one line in /etc/hosts via search_file_replace_line rather than…
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How Shopify Scales RailsJohn Duff41m
Shopify runs Rails at 50k requests per minute with ~45 ms storefront responses and handles spikes to ~200k rpm during flash sales, scaling from a single server…
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Build a Bigger Brain: How Healthy Living Makes You SmarterJoe Kutner39m
Recommendations specify 10,000 steps daily with 20 minutes brisk walking, five minutes of movement each hour, and position changes every 20 minutes; Amish data…
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Treading Water in a Stream of DataJeremy Hinegardner41m
Argues for concrete ingestion patterns: prefer webhook plus polling fallback so missed deliveries are recoverable, avoid pure push for high‑volume feeds…
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Fire It Up: How Empowered People Automated Provisioning In 6 Datacenters Across 4 ContinentsJosh sheram35m
Automates network-device provisioning across six datacenters on four continents, replacing copy‑paste configs with a Rails API service called firekick that…
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Scaling With FriendsGeoffrey Dagley46m
A single Rails backend supports six games and millions of daily players, with concrete ops: about 400+ app servers running ~35 Unicorns each, 125+ MySQL shards…
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Lightning TalksChris Morris35m
Rapid-fire specifics: a Rails hack gem eelinator CSV→XLS on Rails that registers an XLS mime type and overrides lookup and layout behavior so HTML tables…
Lightning on
Hypermedia - less hype, more media pleaseWynn Netherland42m
GitHub treats hypermedia as pragmatic experimentation: the API returns link relations (status URL on the status endpoint) and supports multiple media types…
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The Most Important Optimization: HappinessErnie Miller48m
Claim: happiness is the primary optimization and it breaks down to CAR: capacity activities relationships. Actionable specifics: boost capacity with exercise…
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