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
Abe Stanway
May 17, 2013
Programming
5
660
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
200
MOM! My algorithms SUCK
astanway
15
2.7k
A Deep Dive into Monitoring with Skyline
astanway
6
1.8k
Bring the Noise: Continuously Deploying Under a Hailstorm of Metrics
astanway
34
7.8k
Gifs as Language
astanway
2
720
Your API is a Product
astanway
3
920
Zen and the Art of Writing Commit Logs
astanway
3
750
Other Decks in Programming
See All in Programming
Micro Frontends for Java Microservices - dev2next 2024
mraible
PRO
0
230
UnJSで簡単に始めるCLIツール開発 / cli-tool-development-with-unjs
aoseyuu
2
380
空間の中でアイドルとレッスンする技術 - 1st "Vision" / Spatial Lesson technologies with my idol - 1st "Vision"
banjun
PRO
0
250
CSC509 Lecture 04
javiergs
PRO
0
170
Subclassing, Composition, Python, and You
hynek
3
190
CSC509 Lecture 05
javiergs
PRO
0
180
現場から考えるソフトウェアエンジニアリングの価値と実験
nomuson
1
140
GrafanaのHTTP API を眺めてみよう
rinchoku
0
470
Новый уровень ML-персонализации Lamoda: Как мы усилили ее в каталоге и перенесли на другие продукты
lamodatech
0
410
いかにして不足・不整合なくデータ移行したか
tjmtmmnk
1
910
Honoの来た道とこれから
yusukebe
14
2.2k
CSC305 Lecture 09
javiergs
PRO
0
120
Featured
See All Featured
Build your cross-platform service in a week with App Engine
jlugia
229
18k
Being A Developer After 40
akosma
85
590k
RailsConf 2023
tenderlove
28
860
How to Ace a Technical Interview
jacobian
275
23k
Rebuilding a faster, lazier Slack
samanthasiow
79
8.6k
Optimizing for Happiness
mojombo
376
69k
Build The Right Thing And Hit Your Dates
maggiecrowley
32
2.3k
RailsConf & Balkan Ruby 2019: The Past, Present, and Future of Rails at GitHub
eileencodes
131
33k
Why You Should Never Use an ORM
jnunemaker
PRO
53
9k
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
irinanazarova
4
260
Unsuck your backbone
ammeep
668
57k
Practical Tips for Bootstrapping Information Extraction Pipelines
honnibal
PRO
9
630
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!