Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
[CCC2016Fall]Be a great engineer! #jjug_ccc #cc...
Search
Sponsored
·
SiteGround - Reliable hosting with speed, security, and support you can count on.
→
Shin Tanimoto
December 03, 2016
Technology
6.9k
5
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
[CCC2016Fall]Be a great engineer! #jjug_ccc #ccc_a1
JJUG CCC 2016 Fall 基調講演
Be a great engineer!
〜フォローすべきトレンド
スルーすべきトレンドを
どう見抜くのか
Shin Tanimoto
December 03, 2016
More Decks by Shin Tanimoto
See All by Shin Tanimoto
Spring Bootで実装とインフラをこれでもかと分離するための試み
shintanimoto
7
2.1k
クラウドネイティブ時代のコンテナ環境におけるJavaアプリケーションのメトリクス・ログ・トレースモニタリング
shintanimoto
5
2.5k
26 Java Years
shintanimoto
0
140
Let’s Have Fun with Reactive Programming, Using Reactor and WebFlux
shintanimoto
0
370
Monitoring and Visualizing Your (Micro)services
shintanimoto
1
460
現代に求められるJavaコミュニティとは / What should be the Java Community of Today?
shintanimoto
0
1k
人生がときめく「学び」の魔法 / The Life-Changing Magic of Studying
shintanimoto
6
1.9k
業務で使いたいWebFluxによるReactiveプログラミング / Introduction to Reactive Programming using Spring WebFlux
shintanimoto
9
10k
from old Java to modern Java (2017) #jjug
shintanimoto
4
1.9k
Other Decks in Technology
See All in Technology
[JAWS-UG彩の国埼玉#12]そろそろ準備する?re:Invent2026をやさしく解説 / reinvent2026-sainokuni
sh_fk2
1
300
AIがコードを書く時代に、エンジニアは何で自分の価値を証明するのか / In an era where AI writes code how do engineers prove their value
carta_engineering
3
1k
脆弱性診断って、何をしているの? 〜弱点を見つけて、会社の改善につなげるまで〜
keeg
0
910
AIにシークレットを見せない、WSL2で安全な開発環境
yazm
0
260
Benchmarking Disaggregated Serving on vLLM + Dynamo with a Real Coding-Agent Workload
nttcom
1
180
会社説明資料
persolserverworks
0
9.7k
子育てエンジニアの可処分時間が減っても成長を諦めない戦い方
sudoakiy
6
4.6k
AI時代のPRレビューにどう向き合うか?
kairim0
1
240
AIは「聞けば答える」から「任せると自分で進める」へ - JACTIMペナン地域部会・ペナン三水会講演
knishioka
0
110
Browser Spec: Testing Hotwire with Ruby
takahashim
1
110
実践! SRE × AI - ABEMA における AIOps -
tetsuya28
8
3.1k
Snapshot Testing in Practice: Predictable and Reliable SwiftUI Views
fespinoza
0
220
Featured
See All Featured
From π to Pie charts
rasagy
1
400
Docker and Python
trallard
47
4.2k
Performance Is Good for Brains [We Love Speed 2024]
tammyeverts
12
1.9k
Believing is Seeing
oripsolob
1
240
The Illustrated Children's Guide to Kubernetes
chrisshort
51
53k
AI Search: Implications for SEO and How to Move Forward - #ShenzhenSEOConference
aleyda
1
1.4k
Why Your Marketing Sucks and What You Can Do About It - Sophie Logan
marketingsoph
0
430
WCS-LA-2024
lcolladotor
0
890
Measuring Dark Social's Impact On Conversion and Attribution
stephenakadiri
2
310
How to optimise 3,500 product descriptions for ecommerce in one day using ChatGPT
katarinadahlin
PRO
3
3.9k
The Impact of AI in SEO - AI Overviews June 2024 Edition
aleyda
6
1.2k
Code Reviewing Like a Champion
maltzj
529
40k
Transcript
#&"(3&"5&/(*/&&3 ʙϑΥϩʔ͖͢τϨϯυ εϧʔ͖͢τϨϯυΛ Ͳ͏ݟൈ͘ͷ͔ ຊ+BWBϢʔβάϧʔϓ "DSPRVFTU5FDIOPMPHZ$P -5% ୩ຊ৺ !DFSP@U
ࣗݾհ w ୩ຊ৺ 4IJO5BOJNPUP w ຊ+BWBϢʔβʔάϧʔϓװࣄ w "DSPRVFTU5FDIOPMPHZגࣜձࣾ w
ΞʔΩςΫτ w +BWB0OF4QSJOH0OFεϐʔΧʔ w ϚΠΫϩαʔϏε w τϥϒϧγϡʔςΟϯά w 5XJUUFS!DFSP@U w 'BDFCPPLTIJOUBOJNPUP
ϑΥϩʔ͖͢τϨϯυͱ εϧʔ͖͢τϨϯυΛ Ͳ͏ݟൈ͘ͷ͔
–Rashid Khan ( kibana developer ) ϩάσʔλՄࢹԽπʔϧʰKibanaʱʹࠓྲྀΕΔ Pay it
forwardͷOSSతਫ਼ਆ http://type.jp/et/log/article/kibana “ࠓɺۀքͰى͍ͬͯ͜Δ͜ͱΛຊʹཧղ͍ͯ͠Δ͔” “ͲͷτϨϯυΛϑΥϩʔ͠ɺ ٯʹͲͷτϨϯυΛεϧʔ͖͔͢ɻ”
ࢲͷܦྺॻ
ࢲͷܦྺॻ w ৽ਓ࣌ʹ4USVUT )JCFSOBUF w ͔Β4FBTBS 4+4' 4%BP w ʹ4+4'ίϛολ
w 4+4'ͷࣗಈੜπʔϧͷ։ൃͱɺ ͦΕΛ༻͍ͨ։ൃϓϩηεͷࡦఆ w ͦͷπʔϧͱϓϩηεΛར༻ͨ͠େن։ൃ
େԌ্
ͦͷޙɺ༏ΕͨΤϯδχΞͱͷ ։ൃ߹॓ͰɺԹઘʹਁ͔Γͳ͕Β
ͤΖʮ+4'͠ΜͲ͍ʯ ʁʁʮͦΜͳͷ࠷ॳ͔Β ͔͔ͬͯͨΒεϧʔͨ͠Αʯ ʁʁʮ͋Εɺͳ͔ͬͨͶ͐ʯ
ͷ੨य़Λ ฦͤʂ
ͳ͓ଞʹٕͨ͠ज़ͨͪ
9%PDMFU +4' 4USJQFT 'MFY (VJDF .JSBHF (85 985
9'PSNT 4JMWFSMJHIU %5SBDF #5SBDF
͋ʔͬɺɺɺ͍ͬͯ͏
ԿΛݟಀ͍ͯͨ͠ͷ͔ɺ Ͳ͏ߟ͑Εྑ͔ͬͨͷ͔ɺ ͦΕΛࣗͳΓʹৼΓฦΔ
#&"(3&"5&/(*/&&3 ʙϑΥϩʔ͖͢τϨϯυ εϧʔ͖͢τϨϯυΛ Ͳ͏ݟൈ͘ͷ͔ ຊ+BWBϢʔβάϧʔϓ "DSPRVFTU5FDIOPMPHZ$P -5% ୩ຊ৺ !DFSP@U
5"#-&0'$0/5&/54 ৹ඒ؟Λຏͨ͘Ίʹඞཁͳ͜ͱ ϑΥϩʔ͖͢τϨϯυͷݟ͚ͭํ ͷτϨϯυ
৹ඒ؟Λຏͨ͘Ίʹ ඞཁͳ͜ͱ
ࣗͰߟ͑Δ͜ͱ
͍͍ͩͨʹ͓͍ͯ ͜ΜͳηογϣϯΛ ฉ͖ʹདྷͯΔ࣌Ͱμϝʂ
ٕज़Λݟͨ࣌ʹɺ ͦͷຊ࣭Կ͔Λߟ͑Δ͜ͱ
ٕज़Λݟͨ࣌ʹɺ ͦͷຊ࣭Կ͔Λߟ͑Δ͜ͱ ˺ ٕज़ΛϝλͰଊ͑Δ͜ͱ
ͨͱ͑ɺ3%#.4ͬͯ ཁ͢ΔʹԿͳͷʁ
σʔλͷஔ͖ॴʁ ϑΝΠϧͱͷҧ͍ʁ ,74/P42-ͱͷҧ͍ʁ -JTU)BTI.BQͱͷҧ͍ʁ
σʔλ͕ӬଓԽ͞ΕΔ Ұ؏ੑɺ߹ੑͷ֬อ͕ಘҙ εέʔϧΞτۤख ˣ τϥϯβΫγϣϯ͕ ॏཁͱͳΔॴͰ͏͖ σʔλετΞ
ͰτϥϯβΫγϣϯ͕ ॏཁͰͳͯ͘ΘΕ͍ͯΔɻ ʮͩͬͯੲ͔ΒΘΕͯΔ͠ʯ ͱ͍͏ࢥߟఀࢭɻ
ߴʹΩʔʹର͢Δ͕ཉ͚͠Ε ,74 ෳ߲Λݕࡧ݅ʹ͚ͨ͠Ε %PDVNFOUσʔλετΞ ߲Θͣݕࡧͨ͠Γ୯ޠݕࡧ͚ͨ͠Ε શจݕࡧΤϯδϯ
σʔλετΞͻͱͭͱͬͯ దࡐదॴͰ͍͚ΒΕΔͣ
ͦΕ͕ԿͰ͋Δ͔ɺͱ͍͏ ຊ࣭ΛѲ͍ͯ͠Ε χʔζʹैͬͯબ͕Ͱ͖Δ
ຊ࣭ͷѲ χʔζͷѲ
ຊ࣭ͷѲ χʔζͷѲ
͍͖ͳΓຊ࣭͔Βͳ͍
–ߐୡ @ DEADMAN “ఱͷཧɾɾɾ ͷ͝ͱͷਅཧΛखʹ͍ͯ͠Δ શͯΛखʹ͢Δ” “ཧʢਅཧʣ ৺ʢਓ৺ʣ ʢใʣ
ʢ࣭ʣ ମʢମʣ”
ମମత༏Ґऀ͕উͭ ˣ ྔͰউΔ͕উͭ ˣ ใΛۦ͢Δऀ͕উͭ ˣ ৺ਓʑͷ৺Λࢧͨ͠ऀ͕উͭ ˣ ཧશͯͷਅཧΛखʹͨ͠ऀ͕উͭ
ମۀͷ࣌ ˣ ۀͷ࣌ ˣ ͷ࣌ ˣ ৺ܳͷ࣌ ˣ ཧֶͷ࣌
֨ಆήʔϜͰͨͱ͑Δͱ ମɿૢ࡞Λ֮͑ͨऀ͕উͭ ɿ࿈ଓٕ࿈ܞύλʔϯΛ֮͑ͨऀ͕উͭ ਂ͍ࣝΛ࣋ͭऀ͕উͭ ৺ϝϯλϧͰ্ճͬͨऀ͕উͭ ཧήʔϜͷຊ࣭Λཧղͨ͠ऀ͕উͭ
ϑϨʔϜϫʔΫͱ͔Ͱݴ͏ͱ ମɿϑϨʔϜϫʔΫΛͬͯίʔυΛॻ͘ ɿςΫχοΫΛशಘ͢Δ ਂ͍ࣝΛֶͿ ৺ར༻͢Δਓͷؾ࣋ͪΛଊ͑Δ ཧ͜ͷٕज़ཁ͢ΔʹԿͳͷ͔Λཧղ͢Δ
ຊ࣭ɺखΛಈ͔͠ɺֶͼɺ ߟ͑ൈ্͍ͨʹ͋Δ
ਓ͔Βฉ͍ͨʮཧʯ͔ΓΛ ޠΔͷۭڏ
शಘͷํ ମɿνϡʔτϦΞϧೖॻ ɿॻ੶ϒϩά ϒϩάίϛϡχςΟ ৺ίϛϡχςΟͰͷର ཧࣗͰߟ͑Δ
–TJO ( @TJO_datasci )
–TJO ( @TJO_datasci )
ϚαΧϦʹछྨ͋Δ
ಉ͡ஈ֊ͷઌߦऀ͔ΒདྷΔ ʮਫฏํʹͳ͗͢ʯϚαΧϦ ্ͷஈ֊ͷઌߦऀ͔ΒདྷΔ ʮਨํʹৼΓԼΖ͢ʯϚαΧϦ
͍͑ɺͲͬͪ௧͍Ͱ͚͢ͲͶʂ
Λͯ͠
शಘͷํ ମɿνϡʔτϦΞϧೖॻ ɿॻ੶ϒϩά ϒϩάίϛϡχςΟͰͷʮൃ৴ʯ ৺ίϛϡχςΟͰͷʮൃ৴ʯͱʮରʯ ཧࣗͰߟ͑Δ
कഁͱͷରൺ
कഁ कࢣʹ͍ͭͯकΔஈ֊ʢମɺʣ ഁࣗͰߟ͑Δஈ֊ʢɺ৺ʣ ಠࣗͷηΦϦʔΛ͢Δஈ֊ʢཧʣ
͍͖ͳΓഁΔͳ ͍͖ͳΓΕΔͳ
कഁ कࢣʹ͍ͭͯकΔஈ֊ʢମɺʣ ഁࣗͰߟ͑Δஈ֊ʢɺ৺ʣ ಠࣗͷηΦϦʔΛ͢Δஈ֊ʢཧʣ ຊͧΕΔͳڭΘͬͨجຊΛΕΔͳ
˓˓એݴͱ͔ ˓˓.BOJGFTUPʹ ཧ͕٧·͍ͬͯΔ͜ͱ͕ଟ͍
͔͠͠ɺ͍͖ͳΓཧ͔Β ೖۭͬͯڏͳཧղʹͳΔɻ ੵΈ্͛ͨ͏͑Ͱɺ ཧΛߟ͖͑͢ɻ
ຊ࣭ͷѲ χʔζͷѲ
ٕज़ऀͬͯɺγʔζ͕͖͡ΌΜʁ
ΧφρνΛ࣋ͬͨΒ ͯ͢ఝʹݟ͑ΔλΠϓ͡ΌΜʁ
ΪʔΫͱεʔπ ٕज़αΠυͱϏδωεαΠυ
ΪʔΫγʔζͰಈ͖ εʔπχʔζͰಈ͘
ͱ͍͏ͷେؒҧ͍
ٕज़ʹඞͣ χʔζ͕͏
͜ΕΛୡ͍ͨ͠ ͜ͷ՝Λղܾ͍ͨ͠
ٕज़ΛධՁ͢Δ؍ɺ υΩϡϝϯτͷॆ࣮ ϝϯςφϯεɺαϙʔτɺ ίϛϡχςΟͷ׆ੑɺΤίγεςϜɺ ໘നָ͞͠͞ɺ৽͞ ͳͲͳͲ͋Δɻ
ͰχʔζͦͷϦετͷ τοϓʹ͋Δ͖
৽͍͠ɺ໘നͦ͏ʮ͚ͩʯͰ τϨϯυʹͳΒͳ͍
ݾͷχʔζʹ ߹க͍ͯ͠Δͷ͔ʁ ੈͷதͷχʔζʹ ߹க͍ͯ͠Δͷ͔ʁ
ੈͷχʔζʹ߹க͢Δͷ͕ τϨϯυΛ੮ר͢Δ ɾɾɾ͔ʁ
ഁյతΠϊϕʔγϣϯ ௨ৗɺੈͷχʔζ͕ͳ͍ॴʹݱΕΔ
͔ͦ͠͠ͷٕज़ ʮݾʯͷχʔζʹ߹க͢Δ͔Β ར༻͢Δ͜ͱͱͳͬͨ
ݾͷχʔζʹ߹க͍ͯ͠Ε ੈͷτϨϯυʹৼΓճ͞Εͣʹ ͦͷٕज़Λ͑ྑ͍
ͭ·Γٕज़ͷ৹ඒ؟ͱ
ٕज़ͷ৹ඒ؟ͱ ͦΕͧΕͷٕज़ͷຊ࣭Λཧղ͠ ݾͷχʔζʹ߹கͨ͠ͷΛ બ͢Δ͜ͱͰຏ͔ΕΔ
͋Δٕज़ͷதͰ ຊʹͦΕ͕࠷దͳͷ͔Λ ݟൈ͘ඞཁ͕͋Δ
ϙʔλϧαΠτΛ࡞Γ͍ͨ ˣ ίϯϙʔωϯτϕʔεͰ ηογϣϯΛඞਢͱͨ͠ +4'߹க͠ͳ͍ .7$ϕʔεͷํ͕ద
৹ඒ؟ʹࣗ৴͕ͳ͍ʁ
ඞͣ͠ΞʔϦʔΞμϓλʔʹ ͳΔඞཁͳ͍
ΩϟζϜΛӽ͑ͨޙʹ ΞʔϦʔϚδϣϦςΟͱͯ͠ ࢀՃͯ͠ߏΘͳ͍
ͨͱٕ͑ज़తʹ༏Ε͍ͯͯ ͦΕ͕উར͢ΔͱݶΒͳ͍ ʢ7)4WTϕʔλઓ૪ʣ
͜ͷষͷ·ͱΊ
ମ৺ཧͷஈ֊Λܦͯ ͦΕͧΕͷٕज़ͷຊ࣭Λଊ͑Δ͜ͱ ݾͷχʔζΛѲͯ͠ ࠷దͳٕज़Λಋೖ͢Δ͜ͱ ͦΕͰੈͷτϨϯυ ྫྷ͍ͨ͜ͱ͕͋Δ
ϑΥϩʔ͖͢τϨϯυͷ ݟ͚ͭํ
Πϊϕʔγϣϯ͕ τϨϯυΛੜΈग़͢
ΠϊϕʔγϣϯΛ ͏গ͠LXTL
ഁյతΠϊϕʔγϣϯ ࣋ଓతΠϊϕʔγϣϯ
ഁյతΠϊϕʔγϣϯ ήʔϜνΣϯδϟʔʹͳΔ ʮ࣭ʯͷมԽ ϑΥϩʔ͖͔͢ εϧʔ͖͔͢ࢹ͖͢
࣋ଓతΠϊϕʔγϣϯ ήʔϜνΣϯδϟʔʹͳΓʹ͍͘ ʮྔͷมԽʯ ͨͩ͠ࡶͳഁյతΠϊϕʔγϣϯΛ ࣋ଓతΠϊϕʔγϣϯ͕վળͯ͠ ہ໘͕มΘΓ͏Δ ʮྔ͕࣭ʹసԽ͢Δʯ
ഁյతΠϊϕʔγϣϯ͕ ʮલʹݟͨ͜ͱ͋Δʯͷ গͳ͘ͳ͍ DG ػցֶशɺ73
ʮલʹࣦഊͨ͠ΑͶɺ͜Εʯͱ ݴͬͯεϧʔ͢Δͷ͕ վΊͯൃද͞Εͨࡍʹ ͖͢͠
ίϯϐϡʔςΟϯάͷਐԽʹΑΓ طଘͷٕज़͕վΊͯ͞Ε ഁյతΠϊϕʔγϣϯΛى͜͢
Ͳ͜ͰΠϊϕʔγϣϯͷใΛ खʹೖΕΒΕΔͷʁ
ٕज़ΧϯϑΝϨϯε
೦ͳ͕Βɺ+BWB0OFͰ ͜͜Πϊϕʔγϣϯͳ͍ 4QSJOH0OFʢʹͱͬͯʣ ৽͍͠ݟʹᷓΕ͍ͯͨ 3FBDUJWF .JDSPTFSWJDFT ࢄετϦʔϛϯάॲཧʜ
(PPHMFɺ/FUqJYɺ"NB[PO ڊਓ͕ͨͪߦ͏ΧϯϑΝϨϯε ͖͢ SF*OWFOU͍
5IPVHIUXPSLT 5FDIOJDBM3BEBS ʢΩϟζϜతͳҙຯͰʣ ͦͷٕज़͕ Ͳͷஈ֊ʹ͍Δ͔͕͔Δ
ΨʔτφʔࣾͷΠϕϯτ τϨϯυΛ౿·͑ͯ ࣍ͷ͔ΒઌͷΛ ༧ݟͨ͠ൃදΛߦ͏
ͷτϨϯυ
ػցֶश *P5 "3ɺ73 ϒϩοΫνΣʔϯɺϝογϡΞϓϦ
ͦΕΒΛࢧ͑Δͷ͕ ϚΠΫϩαʔϏεΞʔΩςΫνϟ αʔόϨεΞʔΩςΫνϟ ࢄετϦʔϛϯάॲཧ
ɾɾɾͱݴ͑
໌͔Βɺ͑Δͷʁ
పఈతͳݱओٛ ͙͢ʹݱͰ͑ͳ͍ٕज़ ϑΥϩʔ͠ͳ͍
ͨͱ͑ϚΠΫϩαʔϏε
ຊ࣭తʹ ΞδϦςΟͱεέʔϥϏϦςΟΛ ࣮ݱ͢ΔͨΊͷٕज़
ຊʹͦͷχʔζ͋Δ͔ʁ ಋೖͷͨΊͷίετΛ͑Δ͔ʁ ৫ʹಋೖͷ͕͋Δ͔ʁ ΞδϟΠϧͰεέʔϥϒϧͳ৫͔ʁ ʢίϯΣΠͷ๏ଇʣ
ͦ͏ߟ͑Ε ͙͢ʹಋೖͰ͖ΔΘ͚Ͱͳ͍
Ͱɺͯ͢ͷߏཁૉΛ ͏ඞཁͳ͍
ࣗʹͱͬͯχʔζ͕͋Δ ߏཁૉ͚ͩར༻͢Εྑ͍
͍ͣΕΠϊϕʔγϣϯ ίϞσΟςΟԽ͢Δ
4DBMBͷӨڹΛड͚ͯ +BWB4&ʹ-BNCEB͕ೖΓ 4USVUTɺ)JCFSOBUFɺ4QSJOHͷ ӨڹΛड͚ͯ+BWB&&͕վળ͞Ε ϚΠΫϩαʔϏεʹ͔͏
ػցֶश"84͕ ίϞσΟςΟԽ͢Δ
ίϞσΟςΟԽ͢Ε ಋೖোนେ͖͘Լ͕ΔͷͰ ͦͷ࣌ʹར༻͢Εྑ͍
͋͘·Ͱࣗͷχʔζʹ ߹͏ٕज़Λબ͢Δ ͦͷͨΊʹτϨϯυΛѲͯ͠ దͳٕज़Λݟ͚ͭ·͠ΐʂ
ͥͻࠓͷ$$$Ͱ ྑ͍ٕज़Λݟ͚͍ͭͯͩ͘͞ʂ
&OKPZ++6($$$