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
Observabilityを実践する / Pragmatic observability
Search
mnuma
March 21, 2020
Technology
240
2
Share
Observabilityを実践する / Pragmatic observability
mnuma
March 21, 2020
More Decks by mnuma
See All by mnuma
セキュリティチェックシートの話 / Security Check Sheet
mnuma
0
35
Datadogで始めるユーザー行動分析 / Getting Started with User Behavior Analysis Using Datadog
mnuma
0
81
自動テストについて / Automated Testing
mnuma
0
240
Kubernetesの自動アップグレードについて / Upgrading GKE cluster
mnuma
0
220
AWS Auroraのスロークエリを Datadogで扱うまで / How to handle slow_queries_logs in AWS Aurora with Datadog
mnuma
0
990
Googleに学ぶDesign Docs / Learn from Google on Design Docs
mnuma
0
180
Kubernetes Case Studies #1@Makuake KubeCon NA 2019 Recap
mnuma
0
170
カオスエンジニアリングについてヤホーで調べてきました / Enter the chaos engineering
mnuma
0
130
Chaos Engineering 現状把握 / History Of Chaos Engineering
mnuma
0
380
Other Decks in Technology
See All in Technology
見えない開発現場を、見える投資に変える
rojoudotcom
2
150
Autonomous Database - Dedicated 技術詳細 / adb-d_technical_detail_jp
oracle4engineer
PRO
5
13k
申請待ちゼロへ!AWS × Entra IDで実現した「権限付与」のセルフサービス化
mhrtech
1
270
「決め方」の渡し方 / How to hand over the "decision-making process"
pauli
8
1.3k
バックオフィスPJのPjMをコーポレートITが担うとうまくいく3つの理由
yueda256
1
300
Oracle AI Databaseデータベース・サービス: BaseDB/ExaDB-Dの可用性
oracle4engineer
PRO
1
170
2026年春から始めるOpenTelemetry | sogaoh's LT @ PHP Conference ODAWARA 2026
sogaoh
PRO
0
100
新メンバーのために、シニアエンジニアが環境を作る時代
puku0x
0
500
DevOpsDays2026 Tokyo Cross-border practices to connect "safety" and "DX" in healthcare
hokkai7go
0
110
Cortex Codeでデータの仕事を全部Agenticにやりきろう!
gappy50
0
340
Hooks, Filters & Now Context: Why MCPs Are the “Hooks” of the AI Era
miriamschwab
0
130
さくらのAI Engineから始める クラウドネイティブ意識
melonps
0
130
Featured
See All Featured
Impact Scores and Hybrid Strategies: The future of link building
tamaranovitovic
0
250
Crafting Experiences
bethany
1
110
Practical Tips for Bootstrapping Information Extraction Pipelines
honnibal
25
1.8k
Taking LLMs out of the black box: A practical guide to human-in-the-loop distillation
inesmontani
PRO
3
2.1k
Agile that works and the tools we love
rasmusluckow
331
21k
<Decoding/> the Language of Devs - We Love SEO 2024
nikkihalliwell
1
180
Raft: Consensus for Rubyists
vanstee
141
7.4k
Lightning Talk: Beautiful Slides for Beginners
inesmontani
PRO
1
510
Rebuilding a faster, lazier Slack
samanthasiow
85
9.4k
Reality Check: Gamification 10 Years Later
codingconduct
0
2.1k
We Analyzed 250 Million AI Search Results: Here's What I Found
joshbly
1
1.1k
Self-Hosted WebAssembly Runtime for Runtime-Neutral Checkpoint/Restore in Edge–Cloud Continuum
chikuwait
0
450
Transcript
0CTFSWBCJMJUZΛ࣮ફ͢Δ !4IJOKVLV-5
!NOVNB@ גࣜձࣾϚΫΞέ 5FBN43&
0CTFSWBCJMJUZ
࠷ۙϚΫΞέͰ։ൃ߹॓ͬͯ·͢ɻ ϲ݄ʹճɺिؒ͘Β͍ɻ ٕज़తෛ࠴ɺखΛ͚͍ͯͳ͔ͬͨ͜ͱɻ ֤ࣗ νʔϜ ςʔϚΛܾΊͯணखɻ ɾ%9 EFWFMPQFSFYQFSJFODF ͷ্ ɾίϯςφԽͷඋ
ۙگ
l0CTFSWBCJMJUZ֬อͷͨΊʹ%BUBEPH-PHΛ.BLVBLFຊମʹಋೖz ϚΫΞέͷϩάΛ%BUBEPHͰཧ͢ΔΑ͏ʹͨ͠ ΞϓϦέʔγϣϯϩά ΞΫηεϩά ηΩϡϦςΟϩά ˚
l0CTFSWBCJMJUZ֬อͷͨΊʹ%BUBEPH-PHΛ.BLVBLFຊମʹಋೖz ϚΫΞέͷϩάΛ%BUBEPHͰཧ͢ΔΑ͏ʹͨ͠ ΞϓϦέʔγϣϯϩά ΞΫηεϩά ηΩϡϦςΟϩά ˚
0CTFSWBCJMJUZ
0CTFSWBCJMJUZ z0Zz zՄ؍ଌੑz
ΞϝϦΧਓͷ੍ޚֶΤϯδχΞ͕ఏএͨ֓͠೦ 3VEPMGɾ&ɾ,BMNBO γεςϜͷ෦ঢ়ଶΛ֎෦ग़ྗ͔ΒͲΕ͚ͩਪՄೳ͔ɻ ιϑτΣΞͷੈքʹ༻͍ΒΕൃల͍ͯ͠Δɻ 0CTFSWBCJMJUZ IUUQTOFXSFMJDDPNSFTPVSDFXIBUJTPCTFSWBCJMJUZ
0CTFSWBCJMJUZWT.POJUPSJOH ؍ଌੑͱࢹ ҟৗΛΒͤΔ.POJUPSJOH ҟৗͷཧ༝Λઆ໌Ͱ͖Δ0CTFSWBCJMJUZ :VSJ4ILVSP 6CFS0CTFSWBCJMJUZ5FBN .POJUPSJOHͱɺࣄલʹܾΊͨͷΛଌఆ͢Δ͜ͱɺ 0CTFSWBCJMJUZɺࣄલʹܾΊͨͷͰͳ͍ࣄʹ͍ͭͯઆ໌Մೳ ͳ͜ͱɻ
IUUQTXXXJOGPRDPNQSFTFOUBUJPOTVCFSNJDSPTFSWJDFTEJTUSJCVUFEUSBDJOH
0CTFSWBCJMJUZ&OHJOFFSJOHWT$IBPT&OHJOFFSJOH $IBPT&OHJOFFSJOH ෳࡶͳγεςϜʹؚΉෆ࣮֬ੑʹ3FTJMJFODF ճ෮ੑ Λ֬อ͠ରԠ͍ͯ͘͠ 0CTFSWBCJMJUZ&OHJOFFSJOH ෳࡶͳγεςϜʹؚΉෆ࣮֬ੑʹ0CTFSWBCJMJUZ Մ؍ଌੑ Λ֬อ͠ରԠ͍ͯ͘͠ γεςϜͷෳࡶԽɺϚΠΫϩαʔϏεԽͱͱʹൃలɻ
0CTFSWBCJMJUZख़Ϟσϧ
IUUQTZPVUVCFNVMG+7'OD U /FX3FMJD0CTFSWBCJMJUZ͕ͲͷΑ͏ʹਐΊΒΕख़͍͔ͯ͘͠ɻஈ֊Ͱઆ໌ɻ
0CTFSWBCJMJUZख़Ϟσϧ (FUUJOH4UBSUܭଌΛ࢝ΊΔ 3FBDUJWFडಈతରԠ 1SPBDUJWFੵۃతରԠ 1SFEJDUJWF༧ଌతରԠ %BUB%SJWFOσʔλۦಈ l5IF'PVS(PMEFO4JHOBMTz˞ -BUFODZɺ5SB⒏Dɺ&SSPSTɺ4BUVSBUJPO Ξϥʔτ͕ى͖Δ ΞϥʔτʹରԠ͢Δ
োൃੜΛͻͨ͢Β͑ΔϑΣʔζ ෆ҆ఆ͞Λͳ͘͢ ύϑΥʔϚϯεΛվળ 4-*4-0ඪՔಇΛࡦఆ ސ٬ຬ͕͋Δఔߴ͍ঢ়ଶ εέʔϦϯάΛ࠷దԽ ίετݮʹ͍ͭͯߟ͑Δ ࣮ݧతͳσϓϩΠΛߦ͑Δ σϓϩΠͱ,1*ͷؔ࿈ΛධՁ ސ٬ຬΛ͞Βʹ্ ˞IUUQTMBOEJOHHPPHMFDPNTSFTSFCPPLDIBQUFSTNPOJUPSJOHEJTUSJCVUFETZTUFNTYSFG@NPOJUPSJOH@HPMEFOTJHOBMT
Y1JMMBSPG0CTFSWBCJMJUZ 1SPpMJOH 0CTFSWBCJMJUZΛࢧ͑Δப
.FUSJDT 1SPNFUIFVTɺ5FMFHSBGɺ4UBUT%ɺ%SPQ8J[BSEɺ.JDSPNFUFSɺ HPNFUSJDTɺ$MPVE8BUDIɺ$MPVE.POJUPSJOHɺ.BDLFSFMɺ%BUBEPHʜ -PHT 'MVFOUEɺ'MVFOU#JUɺ"84$MPVE8BUDIɺ$MPVE-PHHJOHɺ&MBTUJDTFBSDIɺ LJCBOBɺ-PHTUBTIɺHSBGBOBɺ%BUBEPH-PHTʜ 5SBDF +BFHFSɺ;JQLJOɺ"849SBZɺ0QFO$FOTVT 0QFO5FMFNFUSZ ɺ
/FX3FMJD"1.ɺ%BUBEPH"1.ʜ Y1JMMBSPG0CTFSWBCJMJUZ 5PPMT
αʔϏεʹࠓٻΊΒΕΔ0CTFSWBCJMJUZͱʁ 0CTFSWBCJMJUZΛ࣮ફ͢Δ 0CTFSWBCJMJUZख़Ϟσϧ͔Βߟ͑Δɻ 3FBDUJWF डಈతରԠ ͔Βɺ1SPBDUJWF ੵۃతରԠ ͳஈ֊ɻ όάোରԠɺݪҼൃݟղੳΛΑΓߦ͍͘͢ɻ ҎԼͷΑ͏ͳ࣭ʹ͑ΒΕΔΑ͏ʹ͢Δɻ
ɾΞϓϦέʔγϣϯΤϥʔͱϦΫΤετͷ૬͕ؔΘ͔Βͳ͍ ɾͲͷϦΫΤετෛՙ͕ߴ͍ͷ͔Γ͍ͨ ɾٸܹͳτϥϑΟοΫͷىҼ͕Θ͔Βͳ͍ (FUUJOH4UBSUܭଌΛ࢝ΊΔ 3FBDUJWFडಈతରԠ 1SPBDUJWFੵۃతରԠ 1SFEJDUJWF༧ଌతରԠ %BUB%SJWFOσʔλۦಈ
αʔϏεʹࠓٻΊΒΕΔ0CTFSWBCJMJUZͱʁ 0CTFSWBCJMJUZΛ࣮ફ͢Δ Y1JMMBSPG0CTFSWBCJMJUZ͔Βߟ͑Δɻ .FUSJDTʹ͍ͭͯ.BDLFSFMΛͬͯऔΕ͍ͯΔ͕ɺ σΟʔϓσόοΪϯάΛߦ͏ʹ-PH͕ෆेɻ
0CTFSWBCJMJUZΛ࣮ફ͢Δ
ϦϦʔε࣌ͷ֬ೝ োൃੜ࣌ ϩάϕʔεΞϥʔτ ϩάϕʔεϝτϦΫε 4-*4-0Խ 4MBDL8PSLqPXʹΈࠐΜͰΈΔ αʔϏεͷঢ়ଶΛՄࢹԽ ׆༻έʔε
߹॓Λ͖͔͚ͬʹ0CTFSWBCJMJUZʹ͍ͭͯߟ͑ͨ ݱঢ়ͷϑΣʔζʹ߹ͬͨ0CTFSWBCJMJUZΛߟ͍͑ͯ͘ࣄ͕େࣄ ·ͱΊͱࠓޙ αʔϏεͷͱͱʹෳࡶͳγεςϜ ৽ػೳɺ৽αʔϏε ϚΠΫϩαʔϏεԽɺϋΠϒϦουΫϥυɺ,VCFSFOUFT ίϯςφԽɺΫϥυωΠςΟϒͳΞʔΩςΫνϟ 0CTFSWBCJMJUZҰͭͷςʔϚ