Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Data Visualization in the Trenches
Search
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
Abe Stanway
May 17, 2013
Programming
5
730
Data Visualization in the Trenches
This talk was given at Bocoup's OpenVis Conf in Boston.
Abe Stanway
May 17, 2013
Tweet
Share
More Decks by Abe Stanway
See All by Abe Stanway
Building Data Driven Organizations
astanway
1
240
MOM! My algorithms SUCK
astanway
15
2.8k
A Deep Dive into Monitoring with Skyline
astanway
6
1.9k
Bring the Noise: Continuously Deploying Under a Hailstorm of Metrics
astanway
34
8.1k
Gifs as Language
astanway
2
910
Your API is a Product
astanway
3
1k
Zen and the Art of Writing Commit Logs
astanway
3
850
Other Decks in Programming
See All in Programming
コントリビューターによるDenoのすゝめ / Deno Recommendations by a Contributor
petamoriken
0
200
「ブロックテーマでは再現できない」は本当か?
inc2734
0
970
AI Agent Tool のためのバックエンドアーキテクチャを考える #encraft
izumin5210
6
1.8k
The Past, Present, and Future of Enterprise Java
ivargrimstad
0
550
Amazon Bedrockを活用したRAGの品質管理パイプライン構築
tosuri13
4
480
インターン生でもAuth0で認証基盤刷新が出来るのか
taku271
0
190
CSC307 Lecture 08
javiergs
PRO
0
670
AI巻き込み型コードレビューのススメ
nealle
1
170
Apache Iceberg V3 and migration to V3
tomtanaka
0
160
FOSDEM 2026: STUNMESH-go: Building P2P WireGuard Mesh Without Self-Hosted Infrastructure
tjjh89017
0
160
なるべく楽してバックエンドに型をつけたい!(楽とは言ってない)
hibiki_cube
0
140
AIエージェントのキホンから学ぶ「エージェンティックコーディング」実践入門
masahiro_nishimi
5
430
Featured
See All Featured
Gemini Prompt Engineering: Practical Techniques for Tangible AI Outcomes
mfonobong
2
280
AI Search: Where Are We & What Can We Do About It?
aleyda
0
6.9k
Large-scale JavaScript Application Architecture
addyosmani
515
110k
The Power of CSS Pseudo Elements
geoffreycrofte
80
6.2k
AI: The stuff that nobody shows you
jnunemaker
PRO
2
250
The Organizational Zoo: Understanding Human Behavior Agility Through Metaphoric Constructive Conversations (based on the works of Arthur Shelley, Ph.D)
kimpetersen
PRO
0
240
Ecommerce SEO: The Keys for Success Now & Beyond - #SERPConf2024
aleyda
1
1.8k
Building Adaptive Systems
keathley
44
2.9k
Are puppies a ranking factor?
jonoalderson
1
2.7k
Save Time (by Creating Custom Rails Generators)
garrettdimon
PRO
32
2.1k
Building AI with AI
inesmontani
PRO
1
690
Design and Strategy: How to Deal with People Who Don’t "Get" Design
morganepeng
133
19k
Transcript
Abe Stanway @abestanway Data visualization in the trenches
None
1.5 Billion page views $117 Million of goods sold 950
thousand users
1.5 Billion page views $117 Million of goods sold 950
thousand users (in December)
Text We practice continuous deployment.
de • ploy /diˈploi/ Verb To release your code for
the world to see, hopefully without breaking the Internet
250+ committers, everyone deploys.
Day one: Deploy.
None
30+ DEPLOYS A DAY
Text “30 deploys a day? Is that safe?”
Text Yes, with the proper tooling.
Text Every engineer must have a finger on the pulse
of the system.
Text How do you make an entire web stack “consumable”
to a handful of engineers?
Text More information Quickly consumable More abstraction
p
None
Text Real time error logging
Text No abstraction. Fluffy information. Easy to consume.
“Not all things that break throw errors.” - Oscar Wilde
1. ssh to server 2. poke around for the log
files 3. try to remember what they mean 4. try to scroll back in time to find when they started acting up. 5. repeat
Text No abstraction. Fluffy information.
Text ...but hard to get at. Lots of friction means
not easily consumable.
Text Bump up a layer of abstraction.
1. create a graph 2. look at the graph 3.
?? 4. profit!!
StatsD
StatsD::increment(“foo.bar”)
If it moves, graph it!
If it doesn’t move, graph it anyway (it might make
a run for it)
None
Text Some abstraction. Denser information.
Text ...still hard to get at en masse.
Text Bump up a layer of abstraction.
DASHBOARDS!
Hang out with the dashboards after you push.
None
[1358731200, 20] [1358731200, 20] [1358731200, 20] [1358731200, 20] [1358731200, 20]
[1358731200, 20] [1358731200, 20] [1358731200, 20] [1358731200, 60]
DASHBOARDS x 250000 !
None
“...but there are also unknown unknowns - there are things
we do not know we don’t know.”
Text Slightly denser information is negated by the deluge.
Text The majority remains unconsumable.
Text Bump up a layer of abstraction.
SKYLINE
A real time anomaly detection system
None
Text Very abstract, harder to understand, but the effective information
density is massive.
Text Consumption is also increased by outsourcing it to the
machine.
Text Trust becomes an issue.
So you found an anomaly.
MAYBE THERE ARE OTHERS
Oculus: a metrics correlation system
None
Text A good tool adds “touch” to the system.
Text More “touch” means more intimacy with the stack.
Text A delicate balance between insight, consumptive capacity, and actionability.
Text More abstraction leads to less intimacy...
Text ...but greater information density.
@abestanway
[email protected]
Abe Stanway Data Engineer Thanks!