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
Introduction of Skyline
Search
Takumi Sakamoto
July 12, 2013
Programming
0
160
Introduction of Skyline
Takumi Sakamoto
July 12, 2013
Tweet
Share
More Decks by Takumi Sakamoto
See All by Takumi Sakamoto
Building Data Pipelines with Apache Airflow
takus
3
2.6k
The Missing Pieces of Amazon ECS (for me)
takus
2
850
マイクロサービスとSRECon / #microserv
takus
14
4.4k
Slack と Incident Command System / #slackbook
takus
2
640
Why and How SmartNews uses SaaS?
takus
2
2.8k
スマートニュースの世界進出を支えるログ解析基盤 #jawsdays #tech
takus
63
18k
SmartNews と Datadog
takus
6
3.8k
ぜんぶ AWS でやらないワケ
takus
55
110k
Velocity Conference 2013 Report
takus
2
1.6k
Other Decks in Programming
See All in Programming
Swiftで高速フーリエ変換してオーディオビジュアライザーを作る / iOSDC Japan 2024 Day1 Track D
kyome22
2
460
令和トラベルにおけるLLM活用事例:社内ツール開発から得た学びと実践
ippo012
0
110
Uncharted packages (Laravel Live Denmark)
freekmurze
0
140
1人で挑むSwiftコンパイラ 〜型システム入門編〜
s_shimotori
0
310
dRuby 入門者によるあなたの身近にあるdRuby 入門
makicamel
4
340
The Sequel to a Dream of Ruby Parser's Grammar
ydah
1
180
プログラマのための音楽入門
cheebow
4
540
めざせ!WKWebViewマスター! / WKWebView Master
marcy731
3
480
2024 컴포즈 정원사
jisungbin
0
140
座談会 「Strict ConcurrencyとSwift 6が開く新時代: 私たちはどう生きるか?」
shiz
4
2.9k
iOSDC 2024
auramagi
3
590
Rubyのobject_id
qnighy
6
1.3k
Featured
See All Featured
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
27
8.9k
10 Git Anti Patterns You Should be Aware of
lemiorhan
653
58k
How GitHub (no longer) Works
holman
309
140k
What's in a price? How to price your products and services
michaelherold
241
11k
Building Applications with DynamoDB
mza
89
5.9k
Fight the Zombie Pattern Library - RWD Summit 2016
marcelosomers
230
17k
VelocityConf: Rendering Performance Case Studies
addyosmani
321
23k
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
danielanewman
225
22k
ピンチをチャンスに:未来をつくるプロダクトロードマップ #pmconf2020
aki_iinuma
103
47k
In The Pink: A Labor of Love
frogandcode
139
22k
Easily Structure & Communicate Ideas using Wireframe
afnizarnur
190
16k
Art, The Web, and Tiny UX
lynnandtonic
294
20k
Transcript
Introduction of Skyline @takus monitoring casual #4 2013.07.12
Velocity 2013 • Web Performance & Operations Conference • Great
talks • Great people • Great culture
My LT Talk at Velocity • 3 Popular Ops Tools
in Japan • serverspec, growthforecast, fluentd • Uploaded on youtube :-( • http://www.youtube.com/watch? v=bRYuBQyG5Sw
Some Positive Feedbacks
The Most Interesting Talk • Avoiding Performance Regression at Twitter
• fight against perf regression in an automated fashion • http://ameblo.jp/principia-ca/ entry-11561132297.html
Today’s Topic
Background • Etsy deploys their app 30+ times per day
• Optimize for quick recovery by anticipating problems, instead of fearing human error • Can’t fix what you don’t measure! • If it moves, graph it
Too Many Graphs • 250,000+ dashboards • If a graph
spikes and no one is watching, does it really spike? • There are things we do not know we don’t know.
Kale • Skyline • Detect unknown anomalies • Oculus •
Detect unknown correlations http://codeascraft.com/2013/06/11/introducing-kale/
None
Architecture Horizon Horizon Horizon Redis Analyzer Manager Analyzer Analyzer Analyzer
Assign Metrics Keys Get Metrics Keys Fetch Timeseries Metrics
Horizon • Listeners • Receiving metrics & store them to
queue • Workers • Inserting metrics to redis with Messagepack • Roombas • Purging metrics in Redis at a regular interval
Analyzer • Assigning Redis keys to each process process •
decode from Messagepack • run the detection algorithm
How to Detect Anomalies? • Consensus model • If the
majority of algorithms agree, the metric will be classified as anomalous • Use your own algorithm for each application • as long as you return a boolean, you can add any sort of algorithm you like
Basic Algorithm • A metric is anomalous if its latest
datapoint is over three standard deviations above its moving average
Anomaly?
Conclusion • Etsy monitors 250,000+ graphs • If a graph
spikes and no one is watching, does it really spike? • Skyline • detects unknown anomalies • consensus with any algorithms you like