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
AWS Loft Tokyo のASK AN EXPERT ブースにおけるご相談・ご対応ロ...
Search
Eiji Shinohara
February 23, 2019
Technology
0
630
AWS Loft Tokyo の ASK AN EXPERT ブースにおける ご相談・ご対応ログ を分析しました :) / ASK AN EXPERT at AWS Loft Tokyo - Tech Consulting Log Analysis
delivered this talk at JAWS DAYS 2019 (
https://jawsdays2019.jaws-ug.jp/
)
Eiji Shinohara
February 23, 2019
Tweet
Share
More Decks by Eiji Shinohara
See All by Eiji Shinohara
Algolia Best Practices Fall 2020
shinodogg
2
1.1k
Algolia Fall 20 Release - wrap up in Japanese
shinodogg
0
890
Algolia 2020 Autumn
shinodogg
0
3.2k
Algolia introduction - DEMO and Ranking Formula
shinodogg
0
440
Introducing Algolia with Demo
shinodogg
0
6k
Algolia Announces Global Expansion Into Japan
shinodogg
0
2.4k
Introducing Algolia in a nutshell
shinodogg
1
1.3k
Building and Running Microservices with AWS
shinodogg
0
720
Accelerating AdTech on AWS in Japan
shinodogg
1
340
Other Decks in Technology
See All in Technology
Contributing to Rails? Start with the Gems You Already Use
yahonda
2
110
[ JAWS-UG千葉支部 x 彩の国埼玉支部 ]ムダ遣い卒業!FinOpsで始めるAWSコスト最適化の第一歩
sh_fk2
2
140
SRE不在の開発チームが障害対応と 向き合った100日間 / 100 days dealing with issues without SREs
shin1988
1
410
さくらのIaaS基盤のモニタリングとOpenTelemetry/OSC Hokkaido 2025
fujiwara3
3
460
Reach American Airlines®️ Instantly: 19 Calling Methods for Fast Support in the USA
flyamerican
1
180
AI エージェントと考え直すデータ基盤
na0
17
5.5k
改めてAWS WAFを振り返る~業務で使うためのポイント~
masakiokuda
2
300
ソフトウェアテストのAI活用_ver1.25
fumisuke
1
230
スタートアップに選択肢を 〜生成AIを活用したセカンダリー事業への挑戦〜
nstock
0
260
United™️ Airlines®️ Customer®️ USA Contact Numbers: Complete 2025 Support Guide
flyunitedguide
0
420
Glacierだからってコストあきらめてない? / JAWS Meet Glacier Cost
taishin
1
170
【あのMCPって、どんな処理してるの?】 AWS CDKでの開発で便利なAWS MCP Servers特集
yoshimi0227
4
290
Featured
See All Featured
What’s in a name? Adding method to the madness
productmarketing
PRO
23
3.5k
BBQ
matthewcrist
89
9.7k
Docker and Python
trallard
44
3.5k
Speed Design
sergeychernyshev
32
1k
How to Ace a Technical Interview
jacobian
278
23k
Understanding Cognitive Biases in Performance Measurement
bluesmoon
29
1.8k
Chrome DevTools: State of the Union 2024 - Debugging React & Beyond
addyosmani
7
740
How to Create Impact in a Changing Tech Landscape [PerfNow 2023]
tammyeverts
53
2.9k
Design and Strategy: How to Deal with People Who Don’t "Get" Design
morganepeng
130
19k
How STYLIGHT went responsive
nonsquared
100
5.6k
Let's Do A Bunch of Simple Stuff to Make Websites Faster
chriscoyier
507
140k
Why You Should Never Use an ORM
jnunemaker
PRO
58
9.4k
Transcript
© 2019, Amazon Web Services, Inc. or its Affiliates. All
rights reserved. ) 9C :KN : E / L A
© 2019, Amazon Web Services, Inc. or its Affiliates. All
rights reserved. ( ) 2 7B : @ @ @ : A : @ @ @ 31 .4A4 T c 0 - a WS ML 31 /@8 2@ @ JI L J
© 2019, Amazon Web Services, Inc. or its Affiliates. All
rights reserved. AWS Loft Tokyo? ASK AN EXPERT?
© 2019, Amazon Web Services, Inc. or its Affiliates. All
rights reserved. ASK AN EXPERT @ AWS Loft Tokyo ! 2 01 8 - AWS ! Startup Developer J
© 2019, Amazon Web Services, Inc. or its Affiliates. All
rights reserved. AWS Cloud9
© 2019, Amazon Web Services, Inc. or its Affiliates. All
rights reserved. Analyzing ASK AN EXPERT Logs ! Tokenization Word2Vec
© 2019, Amazon Web Services, Inc. or its Affiliates. All
rights reserved. Analyzing ASK AN EXPERT Logs ! Tokenization from janome.tokenizer import Tokenizer t = Tokenizer("userdic.csv", udic_enc="utf8") f = io.open('./sodan.txt', 'r', encoding='utf-8’) tokens = t.tokenize(line) for token in tokens: partOfSpeech = token.part_of_speech.split(',')[0] if partOfSpeech == u'’: if token.surface == ‘https’: pass elif token.surface.isnumeric(): pass else: sodan_words.append(token.surface) https://github.com/mocobeta/janome
© 2019, Amazon Web Services, Inc. or its Affiliates. All
rights reserved. Analyzing ASK AN EXPERT Logs ! Word2Vec from gensim.models import word2vec sodan_sentences = word2vec.Text8Corpus('./sodan_words.txt') sodan_model = word2vec.Word2Vec(sodan_sentences, size=200, min_count=20, window=15) results = sodan_model.wv.most_similar(positive=[u'']) for result in results: print(result) https://github.com/RaRe-Technologies/gensim
© 2019, Amazon Web Services, Inc. or its Affiliates. All
rights reserved. ASK AN EXPERT Logs ! 43 9D 9 . 3 058675 2 3 1 . 3 - 2 3 43 058675 3 . 3 I 9D EAC :
© 2019, Amazon Web Services, Inc. or its Affiliates. All
rights reserved. ASK AN EXPERT Logs ! 2 A L . 201 65 - A 201 2 743 . 8 9:
© 2019, Amazon Web Services, Inc. or its Affiliates. All
rights reserved. AWS Loft Tokyo - ASK AN EXPERT Logs • EC2/RDS/S3 27)+&(70*T LO G;@ ! ⇒ <8=CU • "$Lambda'6,.FMIJT ?QK/ %524LOU ⇒ > J • AWS9SAWS(37-IJ:ND AB# (*´∀V*) " E HRAWS Loft Tokyo “ASK AN EXPERT”17*P J