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
Instrumenting The Rest Of The Company: Hunting ...
Search
Eric Sigler
May 23, 2017
Technology
0
370
Instrumenting The Rest Of The Company: Hunting For Metrics
Presented at Monitorama 2017, video at:
https://youtu.be/wnjCNBfH3kg?t=3h3m35s
Eric Sigler
May 23, 2017
Tweet
Share
More Decks by Eric Sigler
See All by Eric Sigler
Four years of breaking things in production, on purpose.
esigler
0
58
A Brief Introduction To DevOps
esigler
0
110
Humans are terrible compilers: A User's Guide
esigler
0
120
Do You Know If Your Service Is Working Properly? A Guide To Being Paranoid.
esigler
0
170
"Is there any strong objection?"
esigler
0
220
Fear, Uncertainty, and Continuous Deployment
esigler
1
120
3AM, a survey.
esigler
0
230
Strategies For Being On Call & Keeping Your Sanity At The Same Time
esigler
0
160
Engineering for Engineers
esigler
0
89
Other Decks in Technology
See All in Technology
CursorによるPMO業務の代替 / Automating PMO Tasks with Cursor
motoyoshi_kakaku
2
820
生成AI時代 文字コードを学ぶ意義を見出せるか?
hrsued
1
750
AI専用のリンターを作る #yumemi_patch
bengo4com
5
2.3k
生成AIで小説を書くためにプロンプトの制約や原則について学ぶ / prompt-engineering-for-ai-fiction
nwiizo
6
3.7k
モバイル界のMCPを考える
naoto33
0
370
Zephyr RTOSを使った開発コンペに参加した件
iotengineer22
1
170
Geminiとv0による高速プロトタイピング
shinya337
0
200
Github Copilot エージェントモードで試してみた
ochtum
0
140
Tech-Verse 2025 Global CTO Session
lycorptech_jp
PRO
0
1.2k
あなたの声を届けよう! 女性エンジニア登壇の意義とアウトプット実践ガイド #wttjp / Call for Your Voice
kondoyuko
4
520
LangChain Interrupt & LangChain Ambassadors meetingレポート
os1ma
2
230
Understanding_Thread_Tuning_for_Inference_Servers_of_Deep_Models.pdf
lycorptech_jp
PRO
0
150
Featured
See All Featured
[RailsConf 2023] Rails as a piece of cake
palkan
55
5.6k
Side Projects
sachag
455
42k
Docker and Python
trallard
44
3.5k
A better future with KSS
kneath
239
17k
Code Reviewing Like a Champion
maltzj
524
40k
What's in a price? How to price your products and services
michaelherold
246
12k
Designing Dashboards & Data Visualisations in Web Apps
destraynor
231
53k
Making Projects Easy
brettharned
116
6.3k
Typedesign – Prime Four
hannesfritz
42
2.7k
jQuery: Nuts, Bolts and Bling
dougneiner
63
7.8k
XXLCSS - How to scale CSS and keep your sanity
sugarenia
248
1.3M
Done Done
chrislema
184
16k
Transcript
@esigler Instrumenting The Rest Of The Company: Hunting For Useful
Metrics Eric Sigler, Head of DevOps, PagerDuty
@esigler Alternatively: ”Lies, Damn Lies, and Hacky Scripts"
@esigler
@esigler Engineer Eng Engineer Eng? Manager Mgr Manager
@esigler (No stock photos harmed in the making of this
talk.)
@esigler "We have problem $foo, so we're going to do
$bar."
@esigler "What data did you use to understand $foo? And
how will we know if $bar improved anything?”
@esigler “We can’t really measure either $foo and/or $bar.”
@esigler “Without data, you're just another person with an opinion.”
- W. Edwards Deming
@esigler
@esigler
@esigler
@esigler (Turns out other managers do this too.)
@esigler
@esigler "We have a problem with people not knowing what
the chatbot does, so we're going to write better documentation."
@esigler
@esigler ?
@esigler
@esigler “If only there was some way we could track
events, and show them over time.”
@esigler
@esigler
@esigler
@esigler Outcome: Writing a smarter help function in the chat
bot. (And simplifying some commands).
@esigler
@esigler Takeaway: Reuse existing tools when it makes sense.
@esigler
@esigler "We have slow tests in CI, so we're going
to complain a lot about it.”
@esigler “Define slow.”
@esigler Local != CI
@esigler
@esigler
@esigler
@esigler
@esigler “Tests take forever to start.”
@esigler
@esigler ?
@esigler
@esigler Outcome: More workers. (And, knowing how many to budget
for.)
@esigler Takeaway: Look for ways to reverse engineer existing metrics.
@esigler
@esigler "We have to ship code faster, so we're going
to reorganize."
@esigler
@esigler
@esigler But it doesn’t show where the bottlenecks are.
@esigler Pipe GitHub metrics into &
@esigler
@esigler
@esigler
@esigler Then start making changes.
@esigler
@esigler
@esigler Outcome: Productivity success! (With massive organizational change to enable
it.)
@esigler Takeaway: Look for proxy metrics
@esigler Potpourri: Data collection (chat, email, calendars) Cross-validation of metrics
(“Sniff test”) Cognitive biases around metrics Plotting against organization events
@esigler Takeaways: Useful metrics are everywhere You aren’t alone in
digging for metrics Existing tools can be repurposed Look to reverse engineer your way to a metric Look for proxy metrics (but choose wisely)
@esigler Thank you!
@esigler Image credits: https://commons.wikimedia.org/wiki/File:Staff_meeting.jpg https://blogs-images.forbes.com/kellyallan/files/2015/06/Deming-in-Tuxedo-DEM-1078-Dr.-Deming2-1940x1130.jpg (Wherever I grabbed that
screenshot from Pulp Fiction, my apologies I am a terrible person for not capturing the URL)