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
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Takuma Kume
April 26, 2017
Technology
1.3k
0
Share
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
1.5k
【新卒研修】共通言語としてのSRE/SRE as a common language
takumakume
0
270
DDoSとの終わりなき戦い2025/endless_battle_with_ddos_attack_2025
takumakume
3
180
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
210
ロリポップ! for Gamersを支えるインフラ/lolipop for gamers infrastructure
takumakume
0
1.5k
ロリポップ! for Gamersの立ち上げ/lolipop for gamers launch
takumakume
0
2.9k
ホモグラフドメインを検出してみた/detect homograph domain
takumakume
0
790
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
5.6k
KubernetesにおけるSBOMを利用した脆弱性管理/Vulnerability_Management_with_SBOM_in_Kubernetes
takumakume
2
3.1k
Other Decks in Technology
See All in Technology
Spring AI × MCP 入門〜AIエージェントへのツール公開、境界設計から始める最小構成 〜
yuyamiyamoto
0
160
管理アカウント単一運用からAWS Organizationsに移行するの大変で滅
hiramax
0
290
freee-mcpを Local→Remote で出してわかった MCP認可実装のリアル
terara
3
910
Amazon CloudFrontにおけるAIボットアクセス制御のポイント
kizawa2020
5
300
Claude Codeですべての日常業務を爆速化しよう!
minorun365
PRO
16
15k
大規模災害時でも高い信頼性を維持するアプリケーション基盤の実現/nikkei-tech-talk46
nikkei_engineer_recruiting
0
110
脅威をエンジニアリングの糧にして:恐怖を乗り越えた先にあったもの / Turn threats into fuel for engineering: what lay beyond overcoming fear
nrslib
1
340
最低限これだけ押さえれ大丈夫_Claude Enterprise/Team企業展開ガバナンス入門
tkikuchi
1
430
さきさん文庫の書籍ができるまで
sakiengineer
0
290
Don't Just Patch — MOTTAINAI! Learn Security from Laravel CVE Diffs
codmoninc
0
150
ポスター発表&デモと総括 / Poster Presentations & Demonstrations and Summary
ks91
PRO
0
150
layerx-fde-practices
cipepser
6
2.8k
Featured
See All Featured
The Impact of AI in SEO - AI Overviews June 2024 Edition
aleyda
5
1.1k
Lessons Learnt from Crawling 1000+ Websites
charlesmeaden
PRO
1
1.3k
CoffeeScript is Beautiful & I Never Want to Write Plain JavaScript Again
sstephenson
162
16k
Digital Projects Gone Horribly Wrong (And the UX Pros Who Still Save the Day) - Dean Schuster
uxyall
0
1.5k
svc-hook: hooking system calls on ARM64 by binary rewriting
retrage
2
270
B2B Lead Gen: Tactics, Traps & Triumph
marketingsoph
0
130
We Are The Robots
honzajavorek
0
230
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
360
30k
Sam Torres - BigQuery for SEOs
techseoconnect
PRO
0
270
First, design no harm
axbom
PRO
2
1.2k
Leveraging Curiosity to Care for An Aging Population
cassininazir
1
250
Performance Is Good for Brains [We Love Speed 2024]
tammyeverts
12
1.7k
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