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
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Takumi Sakamoto
July 12, 2013
Programming
0
190
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
2.9k
The Missing Pieces of Amazon ECS (for me)
takus
2
940
マイクロサービスとSRECon / #microserv
takus
14
4.5k
Slack と Incident Command System / #slackbook
takus
2
730
Why and How SmartNews uses SaaS?
takus
2
3.1k
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
64
18k
SmartNews と Datadog
takus
6
4k
ぜんぶ AWS でやらないワケ
takus
55
110k
Velocity Conference 2013 Report
takus
2
1.7k
Other Decks in Programming
See All in Programming
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
500
CSC307 Lecture 07
javiergs
PRO
1
560
Claude Codeと2つの巻き戻し戦略 / Two Rewind Strategies with Claude Code
fruitriin
0
140
LLM Observabilityによる 対話型音声AIアプリケーションの安定運用
gekko0114
2
430
コマンドとリード間の連携に対する脅威分析フレームワーク
pandayumi
1
460
それ、本当に安全? ファイルアップロードで見落としがちなセキュリティリスクと対策
penpeen
7
3.9k
izumin5210のプロポーザルのネタ探し #tskaigi_msup
izumin5210
1
140
高速開発のためのコード整理術
sutetotanuki
1
410
CSC307 Lecture 08
javiergs
PRO
0
670
20260127_試行錯誤の結晶を1冊に。著者が解説 先輩データサイエンティストからの指南書 / author's_commentary_ds_instructions_guide
nash_efp
1
980
CSC307 Lecture 09
javiergs
PRO
1
840
要求定義・仕様記述・設計・検証の手引き - 理論から学ぶ明確で統一された成果物定義
orgachem
PRO
1
170
Featured
See All Featured
AI Search: Where Are We & What Can We Do About It?
aleyda
0
7k
Designing Experiences People Love
moore
144
24k
The browser strikes back
jonoalderson
0
390
Leo the Paperboy
mayatellez
4
1.4k
職位にかかわらず全員がリーダーシップを発揮するチーム作り / Building a team where everyone can demonstrate leadership regardless of position
madoxten
57
50k
Navigating the Design Leadership Dip - Product Design Week Design Leaders+ Conference 2024
apolaine
0
180
Sam Torres - BigQuery for SEOs
techseoconnect
PRO
0
190
Fireside Chat
paigeccino
41
3.8k
Getting science done with accelerated Python computing platforms
jacobtomlinson
2
120
Building a A Zero-Code AI SEO Workflow
portentint
PRO
0
320
Game over? The fight for quality and originality in the time of robots
wayneb77
1
120
Thoughts on Productivity
jonyablonski
74
5k
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