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
Kibana入門
Search
Yusuke Mito
November 12, 2013
Technology
51k
62
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Kibana入門
第2回elasticsearch勉強会の発表資料です。
Kibanaの基本的な使い方について網羅的にまとめました。
Yusuke Mito
November 12, 2013
More Decks by Yusuke Mito
See All by Yusuke Mito
マイクロサービス環境における監視の効率化
y310
0
1.8k
GraphQL Q&A
y310
7
3.9k
Ruby on Rails Introduction
y310
0
330
WWDC2014 これだけ押さえておけば間違いなし! おすすめセッションTOP10
y310
11
5.6k
NSUserDefaultsの中身を見る
y310
0
2.3k
xctoolで爆速テスト
y310
2
1.6k
Other Decks in Technology
See All in Technology
データエンジニアリングとドメイン駆動設計
masuda220
PRO
13
2.3k
しくみを学んで使いこなそう GitHub Copilot app
torumakabe
2
320
”AIを使う” から ”AIに任せる” へ ─ 開発プロセスを再設計してAIを組織標準にするまで
cyberagentdevelopers
PRO
1
120
発表と総括 / Presentations and Summary
ks91
PRO
0
170
実践!既存 Project への AI-Driven Development 適用〜 一ヶ月で Project 唯一のフロントエンドエンジニアを作り出せ〜
lycorptech_jp
PRO
0
380
[Droidcon Orlando '26] The Android Lens: Applying Mobile Forensics to AI Performance
amanda_hinchman
1
100
41歳でAWSが好きすぎてITエンジニアになったおっさんの話
yama3133
1
710
2026年のソフトウェア開発を考える(2026/07版) / Agentic Software Engineering 2026-07 Findy Edition
twada
PRO
17
7.2k
AIが当たり前の組織で エンジニアはどう育つか
nishihira
1
890
「休む」重要さ
smt7174
5
1.4k
Amplify Gen2でbackend.tsにCDKを定義する/しない事によるCDKの挙動の違いとユースケース
smt7174
1
460
AI x 開発生産性を取り巻く予算戦略と投資対効果
i35_267
7
2.6k
Featured
See All Featured
Hiding What from Whom? A Critical Review of the History of Programming languages for Music
tomoyanonymous
3
1k
Practical Orchestrator
shlominoach
191
11k
Designing for Performance
lara
611
70k
Dealing with People You Can't Stand - Big Design 2015
cassininazir
367
27k
Information Architects: The Missing Link in Design Systems
soysaucechin
0
1k
GitHub's CSS Performance
jonrohan
1033
470k
How To Stay Up To Date on Web Technology
chriscoyier
790
250k
How GitHub (no longer) Works
holman
316
150k
Digital Ethics as a Driver of Design Innovation
axbom
PRO
1
350
Avoiding the “Bad Training, Faster” Trap in the Age of AI
tmiket
0
190
How Software Deployment tools have changed in the past 20 years
geshan
0
34k
The Curse of the Amulet
leimatthew05
2
13k
Transcript
,JCBOBೖ ਫށ༞հ!Z@
୭ʁ
! ਫށ༞հ.JUP:VTVLF $00,1"%גࣜձٕࣾज़෦ ΞϓϦέʔγϣϯΤϯδχΞ ҎલαʔϏε։ൃɺ࠷ۙ3&45"1*ͷ։ൃͳͲ Z !Z@
,JCBOB
ࠓͷ͓ wͳͥ,JCBOBʁ w,JCBOBͷ͍ํ w,JCBOB5JQT
ࠓͷ͓ wͳͥ,JCBOBʁ w,JCBOBͷ͍ํ w,JCBOB5JQT
·ͣجຊใ͔Β
,JCBOBͱʁ w ϩάղੳՄࢹԽπʔϧ w MPHTUBTIͰूΊͨϩάΛՄࢹԽ͢ΔͨΊʹ࡞ΒΕͨ w ʹ&MBTUJDTFBSDIͷެࣜπʔϧԽ w IUUQTHJUIVCDPNFMBTUJDTFBSDILJCBOB w
MPHTUBTIͷґଘͳ͘ɺqVFOUEͳͲ؆୯ʹ࿈ܞՄೳ
ߏ &MBTUJDTFBSDI ,JCBOB MPHTUBTI qVFOUE
ಛ w,JCBOBࣗମ)5.-$44+4ͷΈ wͭ·Γ8FCαʔό͚ͩͰ৴Մೳ XHFUIUUQEPXOMPBEFMBTUJDTFBSDIPSHLJCBOBLJCBOBLJCBOBMBUFTU[JQ VO[JQLJCBOBMBUFTU[JQ SVCZSTJOBUSBFTFUQVCMJD@EJS lLJCBOBMBUFTU
ಛ ύωϧΛՃͯ͠ ΈͷμογϡϘʔυΛ࡞ΕΔ
ಛ w࡞ͬͨμογϡϘʔυ FMBTUJDTFBSDIʹอଘ wετϨʔδෆཁ
,JCBOBΛ͏ཧ༝
ϩάΛݟΔͱ͖ʹ Α͋͘Δ͜ͱ
ຖճݟ͍͕ͨ݅มΘΔ ͋ΔϢʔβͷΞΫηεΛ͍ͨ͠ ͜ͷϖʔδʹΞΫηε͞Εͨճ J04ͱ"OESPJEͷΞΫηεൺ ฏۉϨεϙϯελΠϜ FUDʜ
ૉૣ͘Λݟ͍ͨ ϐʔΫλΠϜԿ࣌ࠒʁ ٳͷτϥϑΟοΫฏʹൺͯͲ͏ʁ Τϥʔى͖͍ͯͳ͍ʁ FUDʜ
Ͱɺৄࡉݟ͍ͨ ͜ͷ࣌ͷΫΤϦύϥϝʔλԿʁ ͜ͷάϥϑͷεύΠΫԿʁ Ͳ͔͜Β͜ͷϖʔδʹདྷͨͷʁ FUDʜ
ݟ͍ͨ࣌ʹ ݟ͍ͨใΛ ૉૣ͘
,JCBOBͳΒશ෦Ͱ͖Δ
ࠓͷ͓ wͳͥ,JCBOBʁ w,JCBOBͷ͍ํ w,JCBOB5JQT
αϯϓϧσʔλ χίχίσʔληοτಈըϝλσʔλ IUUQXXXOJJBDKQDTDFOUFSJESOJDPOJDPIUNM
ఏڙ ג υϫϯΰ ࠃཱใֶݚڀॴ
/BWJHBUJPO 3PX 3PX 1BOFM 1BOFM 1BOFM
2VFSZ ݕࡧΫΤϦΛೖྗ͢ΔҰ൪جຊͱͳΔύωϧ MVDFOFΫΤϦ͕ॻ͚Δ NPWJF@UZQFNQ NPWJF@UZQFqW
'JMUFSJOH ݱࡏͷΫΤϦʹର͔͔͍ͯͬͯ͠ΔߜΓࠐΈ݅Λදࣔ ظؒͷߜΓࠐΈ NPWJF@UZQFͷߜΓࠐΈ
4BWF-PBE FMBTUJDTFBSDIͷLJCBOBJOUΠϯσοΫε͔ΒอଘͱಡΈࠐΈ μογϡϘʔυΛ࡞ͬͨΒϦϩʔυલʹඞͣอଘʂ
)JTUPHSBN ࣌ܥྻσʔλΛදࣔ͢Δ Ұ൪͏͜ͱʹͳΔύωϧ -JOFT #BST 1PJOUT
)JUT ΫΤϦ͝ͱͷ૯ώοτ݅ΛάϥϑԽ
4QBSLMJOFT ΫΤϦ͝ͱͷ͚ͩΛՄࢹԽ IUUQTUXJUUFSDPNSBTIJELQDTUBUVT
5FSNT GBDFUTͷ݁ՌΛ#BS 1JF 5BCMFͰάϥϑԽ ίϝϯτͷGBDFU
5SFOET ࢦఆ͔ͨ࣌͠ΒͷͷมԽΛදࣔ ʮલൺ/૿Ճʯ ʮલൺ.ݮগʯͳͲ
.BQ GBDFUͷ݁ՌΛਤ্ͰՄࢹԽ ຊਤ1VMMSFRVFTUΛग़ͨ͠ͷͷٞதʜ IUUQTHJUIVCDPNFMBTUJDTFBSDILJCBOBQVMM
#FUUFS.BQ ҢɾܦΛݩʹϚοϐϯά
5BCMF ΫΤϦʹϚονͨ͠υΩϡϝϯτͷ༰Λදࣔ
$PMVNO ύωϧΛॎʹฒΒΕΔύωϧ
5FYU )5.- NBSLEPXO QMBJOUFYUͰςΩετΛදࣔ
DEMO
ΫΤϦͷॻ͖ํ
λΠτϧʹʮՎͬͯΈͨʯΛؚΉಈը UJUMFlՎͬͯΈͨz ಈըܗࣜNQҎ֎ͷಈը NPWJF@UZQFNQ ࠶ੜ࣌ؒະຬͷಈը MFOHUI< 50> λΠτϧʹʮՎͬͯΈͨʯΛؚΉNQಈը UJUMFlՎͬͯΈͨz"/%NPWJF@UZQFNQ /05
NPWJF@UZQFNQ ·ͨ ࠶ੜ࣌ؒະຬͷಈը MFOHUI< 50>
ෳͷΫΤϦͷ݁ՌΛൺֱ
ಈըܗࣜͷൺֱ GBDFUͰऔಘͨ͠Ωʔϫʔυ͔Βࣗಈతʹݕࡧ
ಈըϑΝΠϧαΠζͷฏۉ ϑΟʔϧυͷฏۉΛάϥϑԽ ଞʹɺ࠷େɺ࠷খɺ߹ܭܭࢉՄೳ
ࠓͷ͓ wͳͥ,JCBOBʁ w,JCBOBͷ͍ํ w,JCBOB5JQT
JOEFYͱUZQF MPHTUBTI BDDFTT@MPH JOEFY UZQF FWFOU@MPH UZQF MPHTUBTI BDDFTT@MPH JOEFY
UZQF FWFOU@MPH UZQF MPHTUBTI BDDFTT@MPH JOEFY UZQF FWFOU@MPH UZQF ͭͷJOEFYʹҟͳΔεΩʔϚΛ࣋ͭσʔλΛೖΕΒΕΔ ͭͷJOEFYʹೖΕΔ͜ͱͰάϥϑΛॏͶͯൺֱͳͲ͕Ͱ͖Δ
NBQQJOH w NBQQJOHࣗಈతʹఆٛ͞ΕΔ w େ֓ɺͪΐͬͱ͏·͍͔͘ͳ͍ w ܕ͕JOUFHFSͰͳ͘MPOHʹͳΔ w ύεจࣈྻ͕͔ͪॻ͖͞Εͯ͠·͏ w
ͳͲ
{! "template": "logstash-*",! "settings" : {! "number_of_shards" : 1,! "number_of_replicas"
: 0! },! "mappings": {! “access_log": { ! "_source": { "compress": true },! "dynamic_templates": [! {! "string_template" : { ! "match" : "*",! "mapping": { "type": "string", "index": "not_analyzed" },! "match_mapping_type" : "string"! } ! }! ],! "properties" : {! "path" : {! "type": "multi_field",! "fields" : {! "analyzed" : {"type":"string", "index" : "analyzed"},! "no_analyzed": {"type":"string", "index" : "not_analyzed"}! }! },! "agent" : {! "type": "multi_field",! "fields" : {! "analyzed" : {"type":"string", "index" : "analyzed"},! "no_analyzed": {"type":"string", "index" : "not_analyzed"}! }! },! "referer" : {! "type": "multi_field",! "fields" : {! "analyzed" : {"type":"string", "index" : "analyzed"},! "no_analyzed": {"type":"string", "index" : "not_analyzed"}! }! },! "@timestamp" : { "type" : "date", "index" : "not_analyzed" }! }! }! }! } curl -XPUT localhost:9200/_template/logstash_template JOEFYUFNQMBUF MPHTUBTIͰ࢝·ΔJOEFYʹࣗಈతʹద༻ UZQF͕BDDFTT@MPHͷυΩϡϝϯτʹద༻ ͭͷϓϩύςΟΛෳͷpFMEʹల։ ͔ͪॻ͖Λ͠ͳ͍
ੑೳ w &$NMBSHFʷ w ͷΠϯσοΫεαΠζ͕(#Λ͑Δ͋ͨΓͰ FMBTUJDTFBSDI͕٧·Γ࢝ΊΔ w 0VU0G.FNPSZ&SSPSͳͲΛు͍ͯ΄ͱΜͲJNQPSUΛड͚͚ ͳ͘ͳΔ w
qVFOUEʹσʔλ͕ͨ·ΓόοϑΝΦʔόʔͰσʔλΛࣦ͏ʜ
ੑೳ w ͦͷޙɺ+7.ͷ($ύϥϝʔλνϡʔχϯάʹΑΓͳΜͱ͔҆ఆ w ϐʔΫ࣌Ͱ.CQTఔͷτϥϑΟοΫʹ͑ΒΕΔ͜ͱΛ֬ೝ νϡʔχϯάͷৄࡉʹ͍ͭͯ !DPO@NBNFʹฉ͍͍ͯͩ͘͞ ΦϒδΣΫτ͕େྔʹੜɺআ͞ΕΔ͜ͱͰසൟʹ'VMM($͕͍ͬͯͨͷ͕ݪҼ /FXྖҬͷαΠζΛ͛ͯ4DBWFOHF($Ͱճऩ͞ΕΔΑ͏ʹ͢Δ͜ͱͰ'VMM($ͷൃੜ සΛͰ͖Δ͚ͩԼ͛ΔΑ͏ʹͨ͠
࠷৽ใΛ͏ w HJUIVCͷNBTUFShttps://github.com/elasticsearch/kibana w ຖͷΑ͏ʹػೳՃσβΠϯมߋ͕ى͖͍ͯ·͢ w ͨ·ʹͪΐͬͱյΕͯ·͢ w ެࣜCMPHhttp://www.elasticsearch.org/blog/ w
,JCBOBͷهࣄ ϲ݄ʹຊͰ͕͢།Ұͷ৽ػೳհใͰ͢ w EFNPLJCBOBPSHhttp://demo.kibana.org/ w खͬऔΓૣ͘࠷৽൛ΛࢼͤΔ