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
Elastic Stackを利用して データから様々な気づきを見つける
Search
Jun Ohtani
February 07, 2017
Technology
1.2k
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Elastic Stackを利用して データから様々な気づきを見つける
#BigDataTokyo BigData Analytics Tokyoでの発表スライドです。
Jun Ohtani
February 07, 2017
More Decks by Jun Ohtani
See All by Jun Ohtani
Elastic Stackでマイクロサービス運用を 楽にするには? / Monitoring Microservices with Elastic Stack
johtani
5
3.1k
様々なメトリクスやログを集めてシステム解析 - Elastic Stackの入門と活用 - / Getting started Elastic Stack for logging/metrics
johtani
4
1.1k
え?SQLで入門?する ElasticsearchとElastic Stack / Getting started Elastic Stack with SQL
johtani
4
1.2k
Elastic Stack 入門 2018.09 / Getting started Elastic Stack 2018.09
johtani
3
3k
What's new in Elastic Stack 6.3
johtani
2
2.4k
Elastic Stackで始めるJavaアプリのパフォーマンス監視 / Intro Elastic Stack and Elastic APM Java
johtani
5
2.6k
様々なメトリクスやログを集めてシステム解析 - Elastic Stackの入門と活用 - / Intro Elastic Stack
johtani
0
190
Intro Elastic Stack at Telemetry WG
johtani
0
300
What's new in Elastic Stack 6.1?
johtani
0
770
Other Decks in Technology
See All in Technology
【Cyber-sec+】経営層を"動かす"ための考え方
hssh2_bin
0
180
現地で盛り上がった WWDC26 Keynote
zozotech
PRO
1
240
RSA暗号を手計算したくなること、ありますよね?? (20260615_orestudy6_rsa)
thousanda
0
380
白金鉱業Meetup_Vol.24_「AIエージェントは分けるほど良い」は本当か? / Is it true that “the more you divide AI agents, the better”?
brainpadpr
1
370
Android の公式 Skill / Android skills
yanzm
0
140
就職⽀援サービスにおけるキャリアアドバイザーのシフトスケジューリング
recruitengineers
PRO
1
140
AI駆動開発を通して感じた、 AI時代のデザイナーの役割変化
whisaiyo
3
2.1k
エラーバジェットのアラートのタイミングを考える.pdf
kairim0
0
140
人材育成分科会.pdf
_awache
4
230
2026TECHFRESH畢業分享會 - Lightning Talk - 打造精準高效的 MCP 設計模式與測試實務
line_developers_tw
PRO
0
980
2026 TECHFRESH 畢業分享會 - 開發日常大解密!從領域驅動到企業級上線
line_developers_tw
PRO
0
970
あなたの AI ワークスペースに、 専門コーダーを連れてくる - Amazon Quick Desktop 最新情報
kawaji_scratch
1
140
Featured
See All Featured
The SEO identity crisis: Don't let AI make you average
varn
0
490
Noah Learner - AI + Me: how we built a GSC Bulk Export data pipeline
techseoconnect
PRO
0
200
Put a Button on it: Removing Barriers to Going Fast.
kastner
60
4.3k
Bioeconomy Workshop: Dr. Julius Ecuru, Opportunities for a Bioeconomy in West Africa
akademiya2063
PRO
1
140
Navigating the moral maze — ethical principles for Al-driven product design
skipperchong
2
390
The Power of CSS Pseudo Elements
geoffreycrofte
82
6.3k
Stewardship and Sustainability of Urban and Community Forests
pwiseman
0
230
Building a Modern Day E-commerce SEO Strategy
aleyda
45
9.1k
Large-scale JavaScript Application Architecture
addyosmani
515
110k
RailsConf & Balkan Ruby 2019: The Past, Present, and Future of Rails at GitHub
eileencodes
141
35k
Java REST API Framework Comparison - PWX 2021
mraible
34
9.4k
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
stephaniewalter
287
14k
Transcript
‹#› 2017/02/07 Evangelist at Elastic Jun Ohtani @johtani Elastic StackΛར༻ͯ͠
σʔλ͔Β༷ʑͳؾ͖ͮΛݟ͚ͭΔ
‹#›
ΞδΣϯμ • ؾ͖ͮΛݟ͚ͭΔͱʁ • Ϣʔεέʔεͷհ • Elastic stackհ • BeatsɺLogstashɺElasticsearchɺKibanaɺX-Pack
• σϞ 3
about • Me, Jun Ohtani / Technical Advocate ‒ lucene-gosenίϛολʔ
‒ ElasticSearch Serverຊޠ൛ͷ༁ ‒ http://blog.johtani.info • Elasticsearch, founded in 2012 ‒ Products: Elasticsearch, Logstash, Kibana, Beats X-Pack, Elastic Cloud Professional services: Support & development subscriptions ‒ Trainings & Consulting 4
༷ʑͳϢʔεέʔε 5 ؾ͖ͮΛݟ͚ͭΔ ͱʁ
Search and analytics, it all started here More than 60%
of our customers have a search or analytics use case
7
8
Logs Logs Logs, many devices, many systems More than
40% of our customers use our products for operational log analysis
We collect more than 1.2 TB logs every day from
our infrastructure, web servers, and applications. 10
11 We handle more than 3 Billion daily events while
meeting our all of our data security requirements.
Sniff sniff sniff, find the bad actors in your data
200% YoY growth in security use cases with our products
We analyze piles of data: 13B AMP queries/day 600B emails/day
16B web requests/day 13
14 We mine and analyze 4 billion events every day
to detect security hacks and threats. 1
The Elastic Stack: A foundation to solve many use
cases 75% of our customers use our products for more than one use case SEARCH SECURIT CUSTOM APPS METRICS OPERATIONAL ANALYTICS LOG ANALYSIS
Operational analytics Flight telemetry analysis Anomaly resolution Internal search engine
16
17 Enterprise search Intranet search Real-time log analytics Legal contract
repository Trade tracking application HR recruiting application
18 ElasticελοΫ
ElasticελοΫʢOpen Sourceʣ 19 Kibana Elasticsearch
Logstash Beats
ElasticελοΫ 20 Elastic Cloud
X-Pack Kibana Elasticsearch ! " Logstash Beats +
Ingest
22 Logstash
Logstash in 10 seconds • ϩάɾσʔλͷऩूɾཧ • ऩूɺύʔεɾՃɺૹग़ • ΦʔϓϯιʔεɿApache
License 2.0 • Ruby app (JRuby) 23
Logstash architecture 24 Input Output Filter ? ? collect and
split alter and enrich store and visualize
ઃఆ 25 input { … } filter { … }
output { … }
ઃఆɿinput 26 input { file { path => “/Users/johtani/sample/*_log" start_position
=> "beginning" } }
1ߦ1σʔλ 189.120.xx.xx - - [02/Dec/2014:12:18:29 +0900] "GET /manager/html HTTP/ 1.1"
404 274 "-" "Mozilla/5.0 (Windows NT 5.1; rv:5.0) Gecko/20100101 Firefox/5.0" 27
ઃఆɿfilter 28 filter { grok { match => { "message"
=> "%{COMBINEDAPACHELOG}" } break_on_match => false } date { match => ["timestamp", "dd/MMM/YYYY:HH:mm:ss Z"] locale => en } geoip { source => ["clientip"] } useragent { source => "agent" target => "useragent" } }
ύʔε 29 189.120.xx.xx - - [02/Dec/2014:12:18:29 +0900] "GET /manager/html HTTP/1.1"
404 274 "-" "Mozilla/5.0 (Windows NT 5.1; rv:5.0) Gecko/20100101 Firefox/5.0" {… "@timestamp": "2015-04-10T09:07:49.325Z", "clientip": "189.120.xx.xx", "ident": "-", "auth": "-", "timestamp": "02/Dec/2014:12:18:29 +0900", "verb": "GET", "request": "/manager/html", … "agent": "\"Mozilla/5.0 (Windows NT 5.1; rv:5.0) Gecko/
ઃఆɿfilter 30 filter { grok { match => { "message"
=> "%{COMBINEDAPACHELOG}" } break_on_match => false } date { match => ["timestamp", "dd/MMM/YYYY:HH:mm:ss Z"] locale => en } geoip { source => ["clientip"] } useragent { source => "agent" target => "useragent" } }
IP͔ΒҢܦͳͲ༩ 31 "clientip": "189.120.xx.xx", "clientip": "189.120.xx.xx", "geoip": { "ip": “189.120.xxx.xxx”,
… "country_name": "Brazil", "continent_code": "SA", "region_name": "27", "city_name": "São Paulo", "latitude":
ઃఆɿoutput 32 output { elasticsearch { hosts => ["localhost"] index
=> “demo_access_log-%{+YYYY.MM.dd}” } }
ܰྔσʔλγούʔ 33 Beats
To tail a File filebeat
To tail a File filebeat
Capture the Packet Packetbeat
Capture the Packet Packetbeat
Welcome to 1998 winlogbeat
Now winlogbeat
Store, Search & Analytics
41 Elasticsearch
ݕࡧͱͯ͠ͷ Elasticsearch
Elasticsearchͱʁ
ϑϦʔϫʔυݕࡧ 44
ߜΓࠐΈ 45
ϋΠϥΠτ 46
ιʔτ 47
ϖʔδϯά 48
ूܭ 49
αδΣετ 50
Elasticsearch in 10 seconds • εΩʔϚϑϦʔɺࢄυΩϡϝϯτετΞɺREST & JSON • Φʔϓϯιʔε:
Apache License 2.0 • ઃఆͳ͠Ͱ؆୯ʹࢼ͢͜ͱ͕Մೳ • JavaͰ࣮ɻ֦ு༰қ 51
ղੳͱͯ͠ͷ Elasticsearch
aggregation
Aggregationͱ • 1.0͔Βಋೖ • FacetΑΓڧྗͳूܭͳͲ͕Մೳ • ֊తͳूܭɺάϧʔϓԽ ಈతͳूܭɺάϧʔϓԽ • େ͖͘2छྨ
• BucketɹυΩϡϝϯτΛ͝ͱʹ݁ՌΛάϧʔϐϯά • Metricɹ υΩϡϝϯτͷ࣋ͭΛूܭ 54
ྫɿݴޠ͓ΑͼҬͷूܭ 55 curl -XGET twitter-2014.08.22/_search -d ' { "aggs": {
"lang": { "terms": {"field": "lang" }, "aggs": { "place": { "terms": { "field": “place.full_name", "size": 10 } } } } } }
ྫɿݴޠ͓ΑͼҬͷूܭ 56 "aggregations": { "lang": { "buckets": [{…}, { "key":
"ja", "doc_count": 980145, "place": { "buckets": [ { "key": "ژࢢ෬ݟ۠, ژ", "doc_count":252 }, { "key": "ઍా۠, ౦ژ", "doc_count": 39 },…
elasticsearch-hadoop 57 - • D E H • PD ecd
ER • g D • CH • Ca M DMS D FERC
The Window into the Elastic Stack
59 KibanaͰՄࢹԽ
Kibana 5 • ElasticsearchͷσʔλΛՄࢹԽ • Node.js server & JavaScript •
Apache License 2.0 • Elastic Stackͷ૭ͷׂ • ༷ʑͳGUIΛPluginͱ͍ͯެ։ • MarvelɺSenseɺTimelionͳͲ 60
Kibana 5 61
None
X-Pack 5.0: Extending the Elastic Stack
Security
X-Pack : Securityͷಛ • User Authentication ‒ LDAP/Active Directory/ϑΝΠϧϕʔε •
Authorization ‒ ϩʔϧϕʔεͷΞΫηείϯτϩʔϧ ‒ ΠϯσοΫε͝ͱɺΞΫγϣϯ͝ͱͷઃఆ͕Մೳ ‒ υΩϡϝϯτɾϑΟʔϧυ͝ͱͷઃఆՄೳʹ • ηΩϡΞͳ௨৴ ‒ ElasticsearchϊʔυؒͷSSL/TLSɺIPϑΟϧλϦϯά • ࠪϩά 65
Alerting
X-Pack : Alertingͷಛ • ΫΤϦʹΑΔWatch ‒ ElasticsearchͷΫΤϦΛར༻ͯ͠σʔλͷࢹ • ݅ͷઃఆ ‒
ΞΫγϣϯΛ࣮ߦ͢Δ͔Ͳ͏͔ͷઃఆ • εέδϡʔϧ ‒ ΫΤϦΛ࣮ߦ͠ɺ݅ΛνΣοΫ͢Δසͷࢦఆ • ΞΫγϣϯͷఆٛ ‒ ϝʔϧͷૹ৴ɺଞγεςϜͷσʔλૹ৴ͳͲͷಈ࡞Λઃఆ • ཤྺͷอଘ 67
Graph
Graphͷಛ • σʔλؒͷͭͳ͕ΓΛ୳ࡧ͢ΔϓϥάΠϯ • KibanaϓϥάΠϯʹΑΓGUIΛར༻ͯ͠୳ࡧՄೳ 69
Prelert
σʔλ͔Β༗ҙٛͳใΛݟ͚ͭΔํ๏ Search Aggregations Visualization Machine Learning
1SFMFSUͷςΫϊϩδʔ σʔλʹજΉߦಈϞσϧΛ ࣗಈతʹڭࢣͳֶ͠श ݱࡏͷߦಈ͕༧ଌϞσϧͱ ݦஶʹҟͳΔ߹ʹ௨
73 σϞ Demo
ࢀߟαΠτ • Ϣʔεέʔε • https://www.elastic.co/use-cases • DiscussʢWebϑΥʔϥϜʣ • https://discuss.elastic.co •
Elastic{ON}ͷϏσΦͱࢿྉ • https://www.elastic.co/elasticon/videos • αϙʔτϝχϡʔ • https://www.elastic.co/subscriptions 74
75 March 7-9, 2017 • Pier 48 • San Francisco,
CA • 2,500 attendees 3rd Annual Elastic User Conference Topics • Latest Roadmap • Ask Me Anything Booth • 70+ Sessions • 76 Demo Hours
ΞϯέʔτͷճΛ͓ئ͍͠·͢ bit.ly/bigdata-tokyo-elastic
Thanks for listening! Q & A We’re hiring! https://www.elastic.co/about/careers/ We’re
helping! https://www.elastic.co/subscriptions http://training.elastic.co