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
はてなシステム構想 / The concept of Hatena System
Search
Yuuki Tsubouchi (yuuk1)
October 07, 2017
Research
7.5k
2
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
はてなシステム構想 / The concept of Hatena System
ペパボ・はてな技術大会@福岡
Yuuki Tsubouchi (yuuk1)
October 07, 2017
More Decks by Yuuki Tsubouchi (yuuk1)
See All by Yuuki Tsubouchi (yuuk1)
「アラーティング」の話をしよう— SREconや論文等の最先端とのギャップをみる
yuukit
5
1k
SAKURAONE:An Open Ethernet-based AI HPC System And Its Observed Workload Dynamicsin a Single-Tenant LLM Development Environment
yuukit
1
350
AIスーパーコンピュータにおけるLLM学習処理性能の計測と可観測性 / AI Supercomputer LLM Benchmarking and Observability
yuukit
1
950
SREはサイバネティクスの夢をみるか? / Do SREs Dream of Cybernetics?
yuukit
3
540
SREのためのテレメトリー技術の探究 / Telemetry for SRE
yuukit
13
3.6k
AIスパコン「さくらONE」の オブザーバビリティ / Observability for AI Supercomputer SAKURAONE
yuukit
2
1.5k
AIスパコン「さくらONE」のLLM学習ベンチマークによる性能評価 / SAKURAONE LLM Training Benchmarking
yuukit
2
1.1k
とあるSREの博士「過程」 / A Certain SRE’s Ph.D. Journey
yuukit
11
7k
eBPFを用いたAIネットワーク監視システム論文の実装 / eBPF Japan Meetup #4
yuukit
3
1.8k
Other Decks in Research
See All in Research
COFFEE-Japan PROJECT Impact Report(Uminomukou Coffee)
ontheslope
0
200
Harness Engineering and Al Agent
kzinmr
3
1.7k
ScoreMatchingRiesz for Automatic Debiased Machine Learning and Policy Path Estimation with an Application to Japanese Monetary Policy Evaluation
masakat0
0
290
適応的スパムフィルタのための軽量な類似メッセージカウンタ / jsai2026-adaptive-spam-filter
monochromegane
0
3.7k
(SIGQS17) Frasco-VS:フラグメントに基づく薬剤候補化合物選抜の量子アニーリングによる実現
keisukeyanagisawa
PRO
0
120
AY 2026 Guide to Academic Writing Using Generative AI - Workshop
ks91
PRO
0
120
さくらインターネット研究所テックトーク2026春、研究開発Gr.25年度成果26年度方針
kikuzo
0
150
社内データ分析AIエージェントを できるだけ使いやすくする工夫
fufufukakaka
1
1.1k
AIで最適化を解けるか?
mickey_kubo
0
120
[BlackHatAsia2026] Hidden Telemetry: Uncovering TraceLogging ETW Providers You're Not Using (Yet)
asuna_jp
1
540
NLP colloquium: AI Safety Survey
kanekomasahiro
0
740
AI Agentの精度改善に見るML開発との共通点 / commonalities in accuracy improvements in agentic era
shimacos
6
1.7k
Featured
See All Featured
Building AI with AI
inesmontani
PRO
1
1.1k
Optimising Largest Contentful Paint
csswizardry
37
3.7k
New Earth Scene 8
popppiees
3
2.3k
Leadership Guide Workshop - DevTernity 2021
reverentgeek
1
310
Automating Front-end Workflow
addyosmani
1370
210k
How to Think Like a Performance Engineer
csswizardry
28
2.7k
Build your cross-platform service in a week with App Engine
jlugia
234
18k
Color Theory Basics | Prateek | Gurzu
gurzu
0
370
Fashionably flexible responsive web design (full day workshop)
malarkey
408
66k
4 Signs Your Business is Dying
shpigford
187
22k
A brief & incomplete history of UX Design for the World Wide Web: 1989–2019
jct
2
400
Designing Experiences People Love
moore
143
24k
Transcript
ͯͳγεςϜߏ ͯͳ id:y_uuki ϖύϘɾͯͳٕज़େձ@Ԭ
id:y_uuki / @y_uuk1 TSUBOUCHI Yuuki https://yuuk.io/ גࣜձࣾͯͳ WebΦϖϨʔγϣϯΤϯδχΞ / γχΞΤϯδχΞ
/ ςοΫϦʔυ / ج൫։ൃνʔϜϦʔμʔ
ͯͳγεςϜ
https://twitter.com/y_uuk1/status/722085103166296065
https://twitter.com/matsumotory/status/722085980375621632
https://twitter.com/matsumotory/status/722232813668274177
https://twitter.com/kentaro/status/722233495632764928
ͦͯ͠ɺ1ܦա
ͯͳγεςϜߏ ɾ1. Γ͍ͨ͜ͱ ɾ2. ͯͳγεςϜͱɹ ɾ3. Repairable Infrastructureɹ ɾ4. Experimentable
Infrastructureɹ ɾ5. ·ͱΊɹ
1.Γ͍ͨ͜ͱ
ΤϯδχΞ͕ӡ༻ʹർฐͤͣʹ ੑΛൃشͯ͠ ָ͘͠։ൃͰ͖ΔΑ͏ʹ͍ͨ͠ ※ ※ಛʹɺSREɺWebΦϖϨʔγϣϯΤϯδχΞɺΠϯϑϥΤϯδχΞΛࢦ͢
Γ͍ͨ͜ͱ • ઓज़తͳγεςϜվળͷݶք͕Έ͖͑ͯͨ • ΤϯδχΞͷٕज़ʹΑΔղܾೳྗ͋͘͢͝Δͷ ͰɺγεςϜӡ༻ͷτΠϧ(࿑ۤ)ΛͬͱݮΒ͍ͨ͠ • γεςϜӡ༻͔Βղ์͞Εɺతͳ։ൃΛ͍ͬͯ ͖͍ͨ
ͳͥϏδϣϯ͔ • γεςϜʹର͢ΔϏδϣϯ͕·ͣඞཁͩͱײͨ͡ • ϏδϣϯͱͦΕʹجͮ͘ઓུΛܾఆ͢Δ͜ͱͰޮՌత ʹγεςϜΛվળ͍ͯ͘͠ • ͋͑ͯநతࢥߟΛਪ͠ਐΊΔ͜ͱͰݶքΛಥഁ͢Δ • ͳΊΒ͔ͳγεςϜ͕͖
2. ͯͳγεςϜͱ
ͯͳͷϏδϣϯ͔Βಋग़
http://hatenacorp.jp/information/mission ʮΔʯʮͭͳ͕Δʯʮදݱ͢Δʯ Ͱ৽͍͠ମݧΛఏڙ͠ɺ ਓͷੜ׆Λ๛͔ʹ͢Δ
http://hatenacorp.jp/information/mission
ޠ۟ͷΈൈਮ ΑΓଟ͘ͷΫϦΤΠλʔ ଟ༷ͳٕज़ ਓͷੜ׆ දݱ͢Δ
ਓͷੜ׆े => αʔϏεͷ࣌ؒతӬଓੑ දݱखஈଟ༷ => αʔϏεͷଟ༷ੑ
αʔϏε 100+ ϩʔϧ 1000+ ఏڙ 10years+ ※ ※͜͜Ͱ෦γεςϜεςʔδϯάڥΛؚΜͩγεςϜ୯Ґ
૿͑ଓ͚ΔαʔϏεΛޮΑ͘Քಇͤ͞Δ αʔϏεΛ10୯ҐͰՔಇͤ͞ଓ͚Δ
αʔϏεͷ ʮݸʯͱʮ࣌ؒʯʹରͯ͠ εέʔϧ͢Δ͜ͱΛࢦ͢
ͯͳʹ ͢Ͱʹଘࡏ͢Δཁૉٕज़͔Β ۩ମతͳϏδϣϯΛߟ͑Δ
3. Repairable Infrastructure
Droot https://github.com/yuuki/droot
Droot • DockerΞʔΧΠϒΛchrootͰ࣮ߦ͢Δ͚ͩͷܰྔΞϓ ϦέʔγϣϯίϯςφΤϯδϯ • Docker͕ఏএ͢ΔBuild -> Ship -> Runͷ֓೦Λղ͠ɺ
ίϯςφΤϯδϯ෦ͷΈΛͯͳΒ࣮ͨ͘͠͠ͷ
ڊେͳج൫ιϑτΣΞʹ ର͢ΔΞϯνςʔθ
ڊେͳج൫ιϑτΣΞ • طଘͷج൫ιϑτΣΞ܈ͱͷ࿈ܞ͕͍͠ • ෆ҆ఆʹͳͬͨͱ͖ʹରॲͮ͠Β͍ • όʔδϣϯΞοϓ࣌ͷӨڹൣғ͕େ͖͍ • ͕ܦա͢Δͱɺ৽͍͠ͷೖΕସ͑ͨΓɺఫୀ͢ ΔՄೳੑ͋Δ
• ӡ༻͢ΔΠϯϑϥετϥΫνϟʹ͔ͳ͍
ղͱ࠶ߏங
Γ͍ͨ͜ͱΛখ͞ͳཁૉʹ ղ͠ɺ࠶ߏங͢Δ UNIXֶͷΑ͏ͳߟ͑ํ
ΞϓϦέʔγϣϯσϓϩΠϝϯτͷྫ Build Run Ship
ΞϓϦέʔγϣϯσϓϩΠϝϯτͷྫ Archive Registry Archive Builder Archive Uploader Deploy Server Archive
Fetcher Archive Extracter Container Engine σϓϩΠλʔήοτ CIαʔό Service Discovery
ΞϓϦέʔγϣϯσϓϩΠϝϯτͷྫ Archive Registry Archive Builder Archive Uploader Deploy Server Archive
Fetcher Archive Extracter Container Engine σϓϩΠλʔήοτ CIαʔό Service Discovery
ΞϓϦέʔγϣϯσϓϩΠϝϯτͷྫ Archive Registry Archive Builder Archive Uploader Deploy Server Archive
Fetcher Service Discovery Archive Extracter Container Engine σϓϩΠλʔήοτ CIαʔό
ΞϓϦέʔγϣϯσϓϩΠϝϯτͷྫ Archive Registry Archive Builder Archive Uploader Deploy Server Archive
Fetcher Service Discovery Archive Extracter Container Engine σϓϩΠλʔήοτ CIαʔό
ΞϓϦέʔγϣϯσϓϩΠϝϯτͷྫ Archive Registry Archive Builder Archive Uploader Deploy Server Archive
Fetcher Service Discovery Archive Extracter Container Engine σϓϩΠλʔήοτ CIαʔό
۩ମతͳ࣮Λஔ Amazon S3 droot build awscli furoshiki stretcher Mackerel capze
droot run σϓϩΠλʔήοτ CIαʔό
ղͱ࠶ߏங • ଟͷαʔϏεΛޮΑ͘ӡ༻͢Δʹڞ௨ج൫͕ඞཁ • ظӡ༻͢ΔαʔϏεมԽ͠ଓ͚Δ • ιϑτΣΞΛখ͘͞γϯϓϧʹղ͠ɺকདྷͷมߋʹ దԠͰ͖ΔΑ͏ʹ͓ͯ͘͠
Repairable मਖ਼ͷ༰қͳ ܽؕ෦Λमਖ਼͢ΔͨΊͷมߋΛہॴతʹԡ͑͞Δ͜ ͱ͕Ͱ͖,݁Ռͱͯ͠,ଞͷϓϩάϥϜϞδϡʔϧ,ଐจ ॻʹ࠷খݶͷӨڹ͔͠༩͑ͳ͍Α͏ͳιϑτΣΞ ʹؔͯ͠༻͍Δ༻ޠ. http://ejje.weblio.jp/content/repairable
Repairable Infrastructure
4. Experimentable Infrastructure
Q. ࠷࣌ؒΛͱΒΕ͍ͯΔ͜ͱʁ A. γεςϜͷߏঢ়گ͕Θ͔Βͳ͍ͱ ͖ͷௐࠪ
αʔϏε͕ଟ͍ αʔϏεͷྺ࢙͕͍ ☓ ෳࡶ =
γεςϜͷঢ়ଶͱৼΔ͍Λ ଊ͑ଓ͚Δ͜ͱͷॏཁੑ ʹؾͮ͘
Mackerel https://mackerel.io
Mackerel • αʔόཧɾࢹαʔϏε • ͱͱͯͳͷࣾπʔϧͩͬͨ • 2007લޙʹଟͷαʔϏεΛޮΑ͘ߏங͢ΔͨΊ ʹXen HypervisorΛಋೖ •
Ծϗετ͕૿େ͠ɺExcelͰཧͰ͖ͳ͘ͳͬͨ • ϗετใΛϓϩάϥϚϒϧʹѻ͏MackerelΛ։ൃ
Mackerel αʔϏεͷଟ༷ੑΛ ղܾ͢ΔͨΊʹൃୡ͖ͯͨ͠
୯ͳΔࢹͰͳ͍
؍ଌ Observation
؍ଌ ࢮ׆ঢ়ଶ ϝτϦοΫ ϩά Πϕϯτ αʔό ߏཁૉ ཁૉಉ࢜ ͷؔ
ܧଓతͳ؍ଌʹΑΓ աڈΛΓɺݱࡏΛଊ͑Δ
͜͜·Ͱݟ͍͑ͯΔ ͦͷ࣍ʹΓͨ͘ͳΔ͜ͱ
ະདྷΛ༧ଌ͠ɺରԠ͢Δ
࣮ݧ Experiment
ϑΟʔυόοΫ੍ޚ
ϑΟʔυόοΫ੍ޚɺେنͰෳࡶ ͳγεςϜΛɺͨͱ͑γεςϜ͕֎ཚ ʹӨڹΛड͚Α͏ͱɺ͋Δ͍ɺݶ ΒΕͨࢿݯΛ༗ޮར༻ͭͭ͠ɺͦͷੑ ೳΛอͬͯಈ࡞ͤ͞ΔͨΊͷख๏Ͱ͢ɻ Philipp K. Janert ஶ, ʮΤϯδχΞͷͨΊͷϑΟʔυόοΫ੍ޚೖʯ,ΦϥΠϦʔɾδϟύϯ,
2014/07
ϑΟʔυόοΫ੍ޚͷ • ੍ޚରϒϥοΫϘοΫεͰ͋Γɺதෆ໌ͰΑ͍ • OpsΤϯδχΞ͕ΞϓϦέʔγϣϯͷதΛΒͣʹϞχ λϦϯά݁Ռ͚ͩΛΈͯোରԠ͢Δ༷ࢠʹࣅ͍ͯΔ • ॻ੶ʹαʔόͷͷௐΩϟογϡώοτͷԠ༻ྫ ͕͋Δ •
WebγεςϜෳࡶ͗ͯ͢ཧϞσϧΛಋग़͢Δͷ͠ ͍ͨΊɺύϥϝʔλͷܾఆʹʮ࣮ݧʯʹΑΔܭଌ͕ඞཁ
ϑΟʔυόοΫ੍ޚͷಋೖΠϝʔδ • ੍ޚೖྗ: αʔόͷɺαʔόͷϝϞϦྔͳͲ • ੍ޚग़ྗ: ϨεϙϯελΠϜɺΤϥʔͳͲ • ੍ޚग़ྗΛࢹ͠ଓ͚ɺඪ͔Β֎ΕͨΒ੍ޚೖྗΛมߋ ͠ɺݩʹ͢Α͏ͳૢ࡞Λ͢Δ
• ੍ޚೖྗʹରͯ͠ୡؔΛద༻͠ɺ੍ޚग़ྗΛಘΔ • ୡؔͷಉఆͱνϡʔχϯάɺ࣮γεςϜͰԠΛΈΔ ඞཁ͕͋Δ
ຊ൪ڥΛյ͢ͷෆ҆
ຊ൪ʹ͍ۙڥΛ࡞Δٕज़Λൃୡͤ͞ ύϥϝʔλΛ͔࣮͑ͯݧΛ܁Γฦ͠ɺ ϞσϧΛߏங͢Δ Container, Serverless Architecture, Shadow Proxyɺ
ຊ൪ڥ ࣮ݧڥ ؍ଌγεςϜ ࣮ݧ ಈ࡞ԠϞσϧ ϑΟʔυόοΫ ੍ޚ
࣮ݧΛݩʹະདྷͷ؍ଌΛ͢Δ
Experimentable Infrastructure
5. ·ͱΊ
ͯͳγεςϜ
αʔϏεͷ ʮݸʯͱʮ࣌ؒʯʹରͯ͠ εέʔϧͤ͞ΔͨΊʹ
ղͱ࠶ߏஙʹΑΓRepairableʹߏங͞Ε ؍ଌͱ࣮ݧͷϧʔϓΛߴʹճ͠ͳ͕Β ࣗతʹಈ࡞͢ΔExprimentableͳγεςϜ
http://hatenacorp.jp/recruit/career/operation-engineer WebΦϖϨʔγϣϯΤϯδχΞੵۃืूத