~/conference

dotScale 2013

platform engineers, DevOps engineers, site reliability engineers, cloud engineers, backend engineers, infrastructure architects, database administrators

MySQL replication and sharding; Elasticsearch cluster architecture; Docker container workflows; OpenStack cloud platform; Hadoop batch processing; Consul service discovery; TRILL-based virtual networking; OpenZFS storage management; cloud messaging systems; Google Cloud Platform experiments; dynamic cloud autoscaling; healthcare.gov operational lessons

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Scaling MySQL at Wordpress.comBarry Abrahamson21m
wordpress.com runs about 50 million sites backed by roughly 500 million tables across 120 shards and ~2,200 servers (≈500 DB servers), serving hundreds of…
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Scaling, what you need to knowQuentin Adam18m
Advocates splitting application into process and storage with concrete choices: PostgreSQL for transactional rows, Redis for TTL sessions, S3 (or similar) for…
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How Draw Something absorbed 50 million new users in 50 daysTugdual Grall05m
The claim is concrete: 50 million new users in 50 days. The concrete tech named is Couchbase and its document-oriented NoSQL model. Expect specifics about the…
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ZettascaleOri Pekelman05m
Claim: zettascale means zettabyte = 10^21 and current clusters of raspberries and commodity drives scale to terabytes and petabytes but not to zetabytes…
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Uses of tmux explainedStanislas Polu04m
tmux runs as a client-server via Unix domain socket and creates pseudo-terminals with openpty so sessions persist when the client disconnects; detach and…
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Welcome to your new jobNicolas Fonrose04m
Claims that every cloud action has direct cost impact: starting or forgetting servers, allocating disks, and architectural choices change bills. Recommends…
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Why we built ElasticSearchShay Banon16m
ElasticSearch exists to let users ask ad hoc questions over mixed data and get answers in milliseconds by collocating search, filtering and aggregation. It…
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Introduction to HadoopDoug Cutting24m
History and claim: Hadoop grows out of Nutch and Google papers and becomes a working platform that moves from 20 to 40 machines to thousands at Yahoo, handling…
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The origins of OpenStackJoshua McKenty25m
History of OpenStack explains how a NASA/Rackspace project called Pan/Nova becomes a million‑line, 10,000‑person codebase by shipping fast not standardizing…
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DevOps at scaleJonathan Weiss15m
Advice: plan for failure and automate the responses. Use AWS OpsWorks and EC2 APIs to measure key metrics and gate rollouts via onebox deployment before wider…
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Evolution of service deploymentDave Neary04m
Chronicles a concrete shift: 1990 procurement cycles that take a year with IBM RS/6000 running AIX 3 with 100MB disk give way to 1996 developer-built servers…
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Virtual Network over TRILLThomas Stocking19m
Gandi.net U.S. R&D builds a production system that uses TRILL plus a VNI tag to turn VLAN limits into 16 million virtual networks and to hide VM MACs inside…
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Software I'm excited aboutBrad Fitzpatrick21m
Names concrete tech and outcomes and whether they work Go is pitched as a pragmatic compiled language with lightweight goroutines and static binaries that let…
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Why we built DockerSolomon Hykes21m
Docker presents a concrete shipping format and toolchain: a portable container engine that standardizes images, builds and runs them, and is already used at…
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User Space in Cloud PlatformsNoah Zoschke18m
Heroku explains how apps run down the stack from MRI Ruby through LXC containers on Ubuntu into cgroups and namespaces and then into Amazon VMs using the…
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Experimenting with Things using Google Cloud PlatformMandy Waite19m
Deploying 500 sensor Moes (Arduino Leonardo R3 with custom shields: temp/pressure, audio, humidity, light; 300 had specialty sensors — 100 RF, 100 motion via…
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Everything I learned about dynamic scaling of cloud apps.Laurence Moroney19m
Built a second‑screen quiz for the One Direction seven-hour livestream that faces million‑fan spikes every ten minutes, running on Google App Engine and using…
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OpenZFSMatthew Ahrens16m
Claims enterprise-grade correctness by design: checksums all data and metadata and uses copy-on-write on-disk format so fsck is unnecessary. Implements RAID‑Z…
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My Take on PHPFabien Potencier18m
Demonstrates concrete work: Composer, HHVM, ReactPHP and Symfony components drive measurable gains; a PHP-based server on nginx reports 15× speedup for fat…
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Building Robust Systems With ConsulMitchell Hashimoto17m
Consul provides DNS service discovery plus an HTTP API that returns only healthy IPs, a replicated KV-backed dynamic config store that agents cache and can…
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Little fun with cloud API comparisonLaurent Cerveau05m
Comparison lists concrete API call counts and behaviors across providers: Amazon AWS requires about 42 requests for a 40–50–element infrastructure because…
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Iris: Simplifying cloud messagingPéter Szilágyi06m
Iris earns attention only if it states a concrete claim about cloud messaging and backs it with evidence: throughput numbers and latency under load, the actual…
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Today we make the Internet of tomorrowMichiel Leenaars07m
A private foundation gives microgrants to concrete projects and claims measurable wins: funding for GPL v3, DNSSEC work, XMPP/IETF/W3C standards, Tor GNUnet…
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boot2dockerSteeve Morin05m
A tiny Linux that runs Docker as its only userland: a 25 megabyte ISO based on Tiny Core Linux that boots in three seconds and runs entirely from RAM so…
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Security and RisksAlison Gianotto22m
Shows that breaches spike: 8 mega breaches in 2013 vs 1 in 2012 (700% increase) and daily attacks rise from 190k (2011) to 570k (2013); cites Adobe (152M) and…
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Extensibility as a ProductJean-Michel Lemieux19m
Claims that prototyping shrinks setup from pages of docs into minutes and that teams scale by shipping extensibility as a product are backed by specifics: a…
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Darwin & ProtocolsPaul Mockapetris28m
History shows DNS wins by simplicity but now reveals sharp limits: cache poisoning appears within a decade and Dan Kaminsky’s statistical attack forces stopgap…
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Why did I create Salt?Thomas Hatch19m
Salt exists to manage entire stacks at scale and actually does it: benchmarks dramatically faster and proven across tens of thousands of servers. It combines a…
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Building the Ideal Developer PlatformJeff Lindsay19m
Open-source platform called Flynn claims a developer release and boots a container compute grid by running Docker on hosts, then bootstraps services and…
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Life in the Trenches of healthcare.govRobert Kennedy27m
Deployment stories with timestamps and root causes not abstracts: permission changes at 10:48 a.m. revoke the app user and cause 100% errors while latency…
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The Wikimedia infrastructureFaidon Liambotis16m
Wikipedia serves about 500 million unique users and 20 billion monthly page views peak at ~190,000 HTTP requests per second and runs ~1,000 servers across two…
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