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
MHAでデータベースの運用を楽にしよう!
Search
Takuma Kume
April 26, 2017
Technology
1.3k
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
MHAでデータベースの運用を楽にしよう!
Takuma Kume
April 26, 2017
More Decks by Takuma Kume
See All by Takuma Kume
SRE/インフラエンジニアの市場価値とキャリアパス/Market value and career path for SRE-infrastructure engineers
takumakume
2
1.6k
【新卒研修】共通言語としてのSRE/SRE as a common language
takumakume
0
320
DDoSとの終わりなき戦い2025/endless_battle_with_ddos_attack_2025
takumakume
3
190
事業部CTOの現在地(パネルディスカッション)/Current-location-of-Division-CTO
takumakume
0
240
ロリポップ! for Gamersを支えるインフラ/lolipop for gamers infrastructure
takumakume
0
1.8k
ロリポップ! for Gamersの立ち上げ/lolipop for gamers launch
takumakume
0
3.1k
ホモグラフドメインを検出してみた/detect homograph domain
takumakume
0
830
ソフトウェアの継続的アップデートをコンテナ化によって加速させる/Accelerate continuous software updates with containerization
takumakume
0
5.7k
KubernetesにおけるSBOMを利用した脆弱性管理/Vulnerability_Management_with_SBOM_in_Kubernetes
takumakume
2
3.2k
Other Decks in Technology
See All in Technology
When Token Pruning is Worse than Random: Understanding Visual Token Information in VLLMs
sansantech
PRO
0
250
[RSJ26] Flow as Flow: Modeling Robot Velocity Fields as Probability Velocity Fields
keio_smilab
PRO
0
190
いかに伝えるか 〜新卒エンジニアの教育のための、ライトノベル活用の一例
ikedon
1
180
[RSJ26] AnoleVLA: Lightweight Vision-Language-Action Model with Deep State Space Models for Mobile Manipulation
keio_smilab
PRO
0
120
Sony-DroidKaigi2026
sony
1
310
[RSJ26] NarrativeFlow: Flow-Based Vision-Language-Action Model Using Robot Velocity Fields
keio_smilab
PRO
0
150
全員がプロダクトへ向き合う組織を持続成長させるために——組織づくりのフライホイールと4象限 / The Flywheel Model and Four Quadrants for Organizational Design
hiro_torii
3
740
分割40%キーボードにスムーズに入門するには
hoto17296
1
230
JAWS-UG初心者支部#88わいわい初心塾(夏休みの宿題やったかGit編)
otsuki
0
120
[RSJ26] Building a VLA Model Based on Self-Distilled Classification
keio_smilab
PRO
0
190
GuardDuty 検知対応を DevOps Agent で効率化しようとしている話 / GuardDuty Investigations with DevOps Agent
masahirokawahara
1
280
本番に近いテストをもっと手軽に - Postmanで広がるAPIテストの世界 / Expanding the World of API Testing with Postman
yokawasa
1
240
Featured
See All Featured
Rails Girls Zürich Keynote
gr2m
96
14k
Building Better People: How to give real-time feedback that sticks.
wjessup
370
20k
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
stephaniewalter
287
14k
No one is an island. Learnings from fostering a developers community.
thoeni
21
3.8k
Git: the NoSQL Database
bkeepers
PRO
432
67k
Become a Pro
speakerdeck
PRO
31
6.2k
Future Trends and Review - Lecture 12 - Web Technologies (1019888BNR)
signer
PRO
0
3.7k
WCS-LA-2024
lcolladotor
0
820
How to build an LLM SEO readiness audit: a practical framework
nmsamuel
1
890
Measuring & Analyzing Core Web Vitals
bluesmoon
9
990
How STYLIGHT went responsive
nonsquared
100
6.3k
A Tale of Four Properties
chriscoyier
163
24k
Transcript
ٱถഅ(.01&1"#0JOD ϗε5FDI.5( .)"Ͱσʔλϕʔεӡ༻Λ ָʹ͠Α͏ʂ
ΠϯϑϥΤϯδχΞ ٱถഅ!UBLVNBLVNF ϗεςΟϯάࣄۀ෦ΠϯϑϥνʔϜ
.)"ͱʁ
.)"ͱʁ w.Z42-ΤΩεύʔτͱͯ͠ੈքతʹ༗໊ͳদ৴ՅൣࢯʹΑΔɺ .Z42-ϚελʔͷԽΛߦ͏ͨΊͷ1FSMͷιϑτΣΞɻ wඵͷμϯλΠϜͰɺσʔλͷ߹ੑΛอͪͭͭɺϚελʔαʔ όͷϑΣΠϧΦʔόΛߦ͏ػೳΛ͍ͬͯΔɻ (JUIVC IUUQTHJUIVCDPNZPTIJOPSJNNIBNZTRMNBOBHFS IUUQTHJUIVCDPNZPTIJOPSJNNIBNZTRMOPEF
Զσʔλϕʔεͷഒ Γ͕͖ͩʂʂʂ
ͱ͍͏͜ͱͰ
ϚελʔσʔλϕʔεͷোʹΑͬͯ w͓٬༷ʹఏڙ͍ͯ͠ΔαʔϏεΛࢭΊͨ͘ͳ͍ʂ w ͍ͭͰʹɺΓΛָ͠ΜͰ͍Δͱ͜ΖΛअຐ͞Εͨ͘ͳ͍ʂ
ϚελʔσʔλϕʔεͷোʹΑͬͯ w͓٬༷ʹఏڙ͍ͯ͠ΔαʔϏεΛࢭΊͨ͘ͳ͍ʂ w ͍ͭͰʹɺΓΛָ͠ΜͰ͍Δͱ͜ΖΛअຐ͞Εͨ͘ͳ͍ʂ
ͱ͍͏ײ͡ͷϞνϕʔγϣϯͰ .)"ͷಋೖΛߦ͍·ͨ͠ʂ
ຊͷ༰ લఏࣝ ɾϚελʔσʔλϕʔεͷোରԠ͕ਏ͍͜ͱͷڞ༗ ϝΠϯͷ͓ͳ͠ ɾͦΕΛղܾ͢Δ.)"ͷಈ࡞ͷΈ ͓ΘΓ ɾࠓޙʹ͍ͭͯ
Ϛελʔ%#ͷোਏ͍ΜͰ͢
Ϛελʔ%#ͷোਏ͍ΜͰ͢ NBTUFS TMBWF TMBWF "QQMJDBUJPO ॻ͖ࠐΈ ಉظ ಉظ ௨ৗ࣌
Ϛελʔ%#ͷোਏ͍ΜͰ͢ NBTUFS TMBWF TMBWF "QQMJDBUJPO ॻ͖ࠐΈ େͳߋ৽ॲཧ͕ࢭ·Δ োൃੜʂ োൃੜ
͔͜͜Β෮چ࡞ۀ͕࢝·Δ
Ϛελʔ%#ͷোਏ͍ΜͰ͢ NBTUFS TMBWF TMBWF "QQMJDBUJPO σʔλ͕൪৽͍͠αʔόΛબͿ ৽Ϛελʔબఆ
Ϛελʔ%#ͷোਏ͍ΜͰ͢ NBTUFS NBTUFS TMBWF "QQMJDBUJPO σʔλͷ߹ੑΛ߹ΘͤΔ ৽NBTUFS TMBWFؒͷ σʔλͷ߹ੑΛ߹ΘͤΔ
σʔλྔʹԠ͕͔͔ͯ࣌ؒ͡Δ࡞ۀ
Ϛελʔ%#ͷোਏ͍ΜͰ͢ NBTUFS NBTUFS TMBWF "QQMJDBUJPO εϨʔϒಉظΛ։࢝ ಉظ
Ϛελʔ%#ͷোਏ͍ΜͰ͢ NBTUFS NBTUFS TMBWF "QQMJDBUJPO ΞϓϦέʔγϣϯ ॻ͖ࠐΈΛ࠶։ ॻ͖ࠐΈ࠶։ ಉظ
͜ͷҰ࿈ͷ࡞ۀΛٸ͍Ͱ ߦΘͳ͚ΕͳΒͳ͍
େมͰ͢Ͷʜ
खಈ෮چͷ wਓ͕ରԠ͢ΔͨΊҎԼΛڐ༰͠ͳ͚ΕͳΒͳ͍ wোݕˠΤεΧϨʔγϣϯˠݱঢ়֬ೝˠରԠ։࢝ wλΠϜϥά͕ൃੜ͢ΔɻͦͷؒαʔϏεஅɻ wϛεΦϖϨʔγϣϯʹΑΔσʔλϩετͷةݥ wؒͳͲʹى͖Δ͜ͱ͋ΔͷͰ୲ऀ͕ർฐ͢Δ
खಈ෮چͷ wਓ͕ରԠ͢ΔͨΊҎԼΛڐ༰͠ͳ͚ΕͳΒͳ͍ wোݕˠΤεΧϨʔγϣϯˠݱঢ়֬ೝˠରԠ։࢝ wλΠϜϥά͕ൃੜ͢ΔɻͦͷؒαʔϏεஅɻ wϛεΦϖϨʔγϣϯʹΑΔσʔλϩετͷةݥ wؒͳͲʹى͖Δ͜ͱ͋ΔͷͰ୲ऀ͕ർฐ͢Δ w୲ऀ͕ΓΛָ͠ΜͰ͍Δ͔͠Εͳ͍ɻ
ͦΕΛղܾ͢Δҝʹ.)"Λಋೖͨ͠ʂ
.)"োݕ͔Β෮چ·ͰͷҰ࿈ͷ ྲྀΕΛࣗಈͰߦͬͯ͘ΕΔιϑτΣΞɻ
ຊ.)"ͷಈ࡞ͷΈʹ͍ͭͯ આ໌͍ͨ͠ͱࢥ͍·͢ʂ
ߏ NBTUFS TMBWF TMBWF NIBNBOHFS NIBOPEF NIBOPEF NIBOPEF NIBOPEF TMBWF
ϔϧενΣοΫ ࠷ϊʔυ Ϛελʔʹো͕ى͖ΕࣗಈͰ ผͷαʔόʹΓସ͑Δ
Ҏ߱ͷઆ໌ .)"ͷओͳҎԼͷػೳʹ͍ͭͯॱʹઆ໌͠·͢ɻ ɾϔϧενΣοΫ ɾσʔλͷ߹ੑͷΩʔϓ ɾϑΣΠϧΦʔόʔ
ϔϧενΣοΫ ɾNBTUFSσʔλϕʔε͕ࢀর͘͠ॻ͖ࠐΈͰ͖Δঢ়ଶͰ͋Δ͔ ɹΛνΣοΫ͢Δɻ NIBNBOBHFSNIBOPEF<.BTUFS>
σʔλͷ߹ੑΩʔϓ .BTUFS 4MBWF 4MBWF 4MBWF ࣮ߦࡁ SFMBZMPH ʢ.BTUFS͔ΒૹΒΕ͖ͯͨσʔλͰσʔλϕʔεʹॻ͖ࠐ·Ε͍ͯͳ͍ͷʣ
σʔλͷ߹ੑΩʔϓ .BTUFS 4MBWF 4MBWF 4MBWF ࣮ߦࡁ SFMBZMPH Ϛελʔσʔλϕʔεʹোൃੜʂ
σʔλͷ߹ੑΩʔϓ .BTUFS 4MBWF 4MBWF 4MBWF ࣮ߦࡁ SFMBZMPH ൪σʔλ͕.BTUFSʹ͍ۙαʔόΛ ৽Ϛελʔʹબఆ
σʔλͷ߹ੑΩʔϓ .BTUFS 4MBWF 4MBWF 4MBWF ࣮ߦࡁ SFMBZMPH ৽Ϛελʔʹબఆ
σʔλͷ߹ੑΩʔϓ .BTUFS 4MBWF 4MBWF 4MBWF ࣮ߦࡁ SFMBZMPH Ͳͷ4MBWFʹసૹ͞Ε͍ͯͳ͍σʔλϩετ
σʔλͷ߹ੑΩʔϓ .BTUFS 4MBWF 4MBWF 4MBWF ࣮ߦࡁ SFMBZMPH .BTUFS ৽ϚελʔͷSFMBZMPH͕શͯద༻͞ΕΔ·Ͱ NIBNBOBHFSػ
σʔλͷ߹ੑΩʔϓ .BTUFS 4MBWF 4MBWF 4MBWF ࣮ߦࡁ SFMBZMPH .BTUFS 4MBWFʹΓͳ͍σʔλΛ4$1Ͱసૹ͢Δ
σʔλͷ߹ੑΩʔϓ .BTUFS 4MBWF 4MBWF 4MBWF ࣮ߦࡁ SFMBZMPH .BTUFS SFMBZMPHΛద༻
σʔλͷ߹ੑΩʔϓ .BTUFS 4MBWF 4MBWF 4MBWF ࣮ߦࡁ SFMBZMPH .BTUFS σʔλͷ߹ੑ͕อͨΕΔ
ϑΣΠϧΦʔόʔ NBTUFS TMBWF TMBWF NIBNBOHFS NIBOPEF NIBOPEF NIBOPEF NIBOPEF TMBWF
োൃੜ ݕʂ "QQT
ϑΣΠϧΦʔόʔ NBTUFS TMBWF TMBWF NIBNBOHFS NIBOPEF NIBOPEF NIBOPEF NIBOPEF TMBWF
Ϛελʔબఆ "QQT
ϑΣΠϧΦʔόʔ NBTUFS .BTUFS TMBWF NIBNBOHFS NIBOPEF NIBOPEF NIBOPEF NIBOPEF TMBWF
߹ੑͷΩʔϓ "QQT
ϑΣΠϧΦʔόʔ NBTUFS .BTUFS TMBWF NIBNBOHFS NIBOPEF NIBOPEF NIBOPEF NIBOPEF TMBWF
ಉظ։࢝ ಉظ։࢝ "QQT
ϑΣΠϧΦʔόʔ NBTUFS .BTUFS TMBWF NIBNBOHFS NIBOPEF NIBOPEF NIBOPEF NIBOPEF TMBWF
ಉظ։࢝ ಉظ։࢝ "QQT ⾨͜Ε͚ͩͰΞϓϦέʔγϣϯ͕ݹ͍ϚελʔΛࢀর͍ͯ͠Δঢ়ଶ
ϑΣΠϧΦʔόʔ NBTUFS .BTUFS TMBWF NIBNBOHFS NIBOPEF NIBOPEF NIBOPEF NIBOPEF TMBWF
ಉظ ಉظ ϑΣΠϧΦʔόʔ࣌ʹ.)"ͷػೳͰҙͷ εΫϦϓτΛ࣮ߦͰ͖Δʂ "QQT
ϑΣΠϧΦʔόʔ NBTUFS .BTUFS TMBWF NIBNBOHFS NIBOPEF NIBOPEF NIBOPEF NIBOPEF TMBWF
ಉظ ಉظ όʔνϟϧ*1 όʔνϟϧ*1ΞυϨεΛ༧Ί༩͓͖ͯ͠ɺεΫϦϓτͰ৽ϚελʔʹҠಈͤͯ͞ ΞϓϦέʔγϣϯ͕ϚελʔͷࢀরઌΛม͑ͳͯ͘ྑ͍Α͏ʹ͢Δɻ "QQT
ϑΣΠϧΦʔόʔ NBTUFS .BTUFS TMBWF NIBNBOHFS NIBOPEF NIBOPEF NIBOPEF NIBOPEF TMBWF
ಉظ ಉظ όʔνϟϧ*1 "QQT ⾨ΞϓϦέʔγϣϯ৽͍͠ϚελʔΛࣗಈతʹࢀর͢Δ
ͦͷଞͷػೳ ɾࣗಈϑΣΠϧΦʔό࣌ͷ௨ػೳ ɾखಈͰͷϚελʔସ͑ػೳ ɹˠσʔλϕʔεͷϝϯςφϯεָ͕ʹͳΔʂ ɾεϨʔϒຖʹϚελʔঢ֨ީิͷઃఆ͕Ͱ͖Δɻ ɹˠόοΫΞοϓ༻్ͷαʔόϚελʔʹঢ֨ͤ͞ͳ͍ ɹɹͳͲͷӡ༻͕Մೳɻ
.)"طଘͷ.Z42-ͷఀࢭΛ Θͣʹಋೖ͢Δ͜ͱ͕Ͱ͖ΔͷͰ ඇৗʹಋೖͷෑډ͕͍Ͱ͢ʂ
ͷNIBNBOBHFSͰෳͷ γεςϜΛཧ͢Δ͜ͱ͕Ͱ͖·͢ʂ
ʲࢀߟʳ.)"Λಋೖ͢ΔͨΊͷલఏ݅ w֤ϊʔυؒͰͷ44)ެ։伴ೝূ͕Ͱ͖Δ͜ͱ w.Z42-Ҏ߱ͷΈαϙʔτ wϚελʔঢ֨ީิͷαʔόͰMPHCJO͕FOBCMFʹͳͬͯΔ͜ͱ wSFMBZ@MPH@QVSHFΛແޮʹ͓ͯ͘͠ඞཁ wཧ༝ɺϑΣΠϧΦʔό࣌ʹ࠷৽ͷ4MBWFͷSFMBZ@MPHΛݹ͍4MBWFʹసૹ͠ ͯ߹ੑΛ୲อ͢ΔͨΊɻ w Ϛελʔঢ֨ީิαʔόʹϨϓϦέʔγϣϯ༻Ϣʔβ͕ଘࡏ͢Δ͜ͱ w
εςʔτϝϯτϕʔεͷϨϓϦέʔγϣϯͰ-0"%%"5"*/'*-&Λ༻ͯ͠ ͍͚ͳ͍
ϖύϘͰɺ͓ͬ͘Μ͞Μ !IGN ͕ EBZT"MCVNʹઌߦಋೖ͍ͯͨ͠ͷͰ ݟΛڞ༗͖ɺඇৗʹָʹಋೖͰ͖·ͨ͠ʂ ʢ͋Γ͕ͱ͏͍͟͝·ͨ͠ʂʣ
ࠓޙʹ͍ͭͯ ɾ·ͩ.)"͕ಋೖ͞Ε͍ͯͳ͍γεςϜ͕ෳ͋ΔͷͰɺ ɹ࣮ΛੵΈͭͭਵ࣌ಋೖΛ͍͖͍͛ͯͨͱࢥ͍·͢ɻ
͝ਗ਼ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠ʂ