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
成長を支援する “ふりかえり”の技術 / How to lockback using "furik"
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Shinya Tsunematsu
July 14, 2018
Technology
7
1.8k
成長を支援する “ふりかえり”の技術 / How to lockback using "furik"
Shinya Tsunematsu
July 14, 2018
Tweet
Share
More Decks by Shinya Tsunematsu
See All by Shinya Tsunematsu
GMOペパボでのSREの実践 / SRE Practices of GMO Pepabo, Inc.
tnmt
3
4.9k
ペパボサービスインフラの今までこれから / pepabo infra past and future
tnmt
3
710
知らなかった、時に困るWebサービスのセキュリティ対策 / Where Do We Start With Information Security?
tnmt
19
9.5k
IaaSをいじっている人が PaaSについて考えたこと / Should We Prepare Own PaaS?
tnmt
5
2.3k
こんにちわ福岡 / hello-fukuoka
tnmt
0
1.3k
Inside Nyah & Future - A case of "Private Cloud" using OpenStack -
tnmt
0
280
OpenStackクラスタ間マイグレーション事例 Havana to Mitaka / OpenStack Migration Case (Shift from Havana to Mitaka)
tnmt
1
1.2k
ペパボのプライベートクラウド "Nyah" その後 / Pepabo's PrivateCloud "Nyah" After That
tnmt
8
13k
大規模サーバリプレイスを支える技術 / Background of Large Scale Server Replace
tnmt
0
570
Other Decks in Technology
See All in Technology
プロダクト成長を支える開発基盤とスケールに伴う課題
yuu26
4
1.3k
CDKで始めるTypeScript開発のススメ
tsukuboshi
1
430
What happened to RubyGems and what can we learn?
mikemcquaid
0
300
登壇駆動学習のすすめ — CfPのネタの見つけ方と書くときに意識していること
bicstone
3
110
SREが向き合う大規模リアーキテクチャ 〜信頼性とアジリティの両立〜
zepprix
0
450
AIエージェントを開発しよう!-AgentCore活用の勘所-
yukiogawa
0
170
GitLab Duo Agent Platform × AGENTS.md で実現するSpec-Driven Development / GitLab Duo Agent Platform × AGENTS.md
n11sh1
0
140
ClickHouseはどのように大規模データを活用したAIエージェントを全社展開しているのか
mikimatsumoto
0
230
Introduction to Bill One Development Engineer
sansan33
PRO
0
360
StrandsとNeptuneを使ってナレッジグラフを構築する
yakumo
1
120
【Oracle Cloud ウェビナー】[Oracle AI Database + AWS] Oracle Database@AWSで広がるクラウドの新たな選択肢とAI時代のデータ戦略
oracle4engineer
PRO
2
150
Context Engineeringが企業で不可欠になる理由
hirosatogamo
PRO
3
590
Featured
See All Featured
So, you think you're a good person
axbom
PRO
2
1.9k
Performance Is Good for Brains [We Love Speed 2024]
tammyeverts
12
1.4k
Reality Check: Gamification 10 Years Later
codingconduct
0
2k
The Illustrated Guide to Node.js - THAT Conference 2024
reverentgeek
0
260
Unsuck your backbone
ammeep
671
58k
jQuery: Nuts, Bolts and Bling
dougneiner
65
8.4k
Max Prin - Stacking Signals: How International SEO Comes Together (And Falls Apart)
techseoconnect
PRO
0
86
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
359
30k
Building a A Zero-Code AI SEO Workflow
portentint
PRO
0
310
Efficient Content Optimization with Google Search Console & Apps Script
katarinadahlin
PRO
1
320
The Straight Up "How To Draw Better" Workshop
denniskardys
239
140k
How to Align SEO within the Product Triangle To Get Buy-In & Support - #RIMC
aleyda
1
1.4k
Transcript
ৗদ৳࠸(.01FQBCP *OD ະདྷେºاۀΤϯδχΞՆͷେ-5େձ ͓֮͑ͯ͘ͱศར *OGSBTUSVDUVSFBT$PEF
ٕज़෦νʔϑςΫχΧϧϦʔυ ৗদ৳࠸!UONU ٕज़ج൫νʔϜϓϦϯγύϧΤϯδχΞ
None
None
ࠓͷ-5େձͷςʔϚ
ࠓ͔Βཱ͙ͭ͢ɾ ͑Δٕज़ͷ
͓֮͑ͯ͘ͱศར *OGSBTUSVDUVSFBT $PEF
ཱͭʁ
࠙ձͱ͔Ͱ Α͘Ͷʁ
ৗদ৳࠸(.01FQBCP *OD ະདྷେºاۀΤϯδχΞՆͷେ-5େձ ͓֮͑ͯ͘ͱศར *OGSBTUSVDUVSFBT$PEF
ৗদ৳࠸(.01FQBCP *OD ະདྷେºاۀΤϯδχΞՆͷେ-5େձ Λࢧԉ͢Δ l;Γ͔͑Γzͷٕज़
ಥવͰ͕͢
ڈͷࠓͷϥϯν
None
ڈͷࠓ ͬͨ͜ͱ
None
ຖهͯ͠ৼΓฦΔ
IUUQTHJUIVCDPNQFQBCPGVSJL
IUUQTUFDIQFQBCPDPNJOUSPEVDUJPOUPGVSJL
ͱ͜ΖͰ
ϖύϘͷΤϯδχΞධՁ੍
IUUQTQFQBCPDPNSFDSVJUDBSFFSFOHJOFFS “ΤϯδχΞͷࣄΛʮͬͱ͓͠Ζ͘͢Δʯ ಛతͳ੍ͱͯ͠ɺΤϯδχΞධՁ੍ͱ৬Ґ ੍͕͋Γ·͢ɻͲͪΒͷ੍ΦʔϓϯͰ͋Δ ͜ͱΛඇৗʹॏࢹ͓ͯ͠Γɺٕज़ऀͱͯ͠ͷର֎ తͳΞτϓοτΛධՁ࣠ͱͯ͠ॏࢹ͢Δͷ ͪΖΜɺධՁϓϩηεࣗମʮGitHub Enterpriseʯͷpull requestΛϕʔεʹΦʔϓϯͳ ܗͰߦ͓ͬͯΓ·͢ɻ”
None
ඪ
None
࣮
None
ΞΫγϣϯͱάϨʔυ
ΞΫγϣϯ
ʻࣄۀ෦ධՁʼ ॴଐαʔϏεͷߩݙʢޮԽ ࣭ͷ্ɺνϟϨϯδʣΛධ Ձ͢Δ
ࣗͷΓ͍ͨ͜ͱͱ ࣄɾαʔϏεͷํੑΛ ͢Γ߹ΘͤΔ
None
άϨʔυ
ʻγχΞΤϯδχΞҎ্ධՁʼ ٕज़εΩϧ͕ͦͷڃʹݟ߹ͬ ͨͷ͔Ͳ͏͔ΛධՁ͢Δ
ΤϯδχΞͱͯ͠ͷ ৼΔ͍ɾΞϓϩʔν
wΈΜͳͱྑ͘͢Δ͜ͱ ·ΘΓΛר͖ࠐ͏ɺԕྀ͠ͳ͍ wϑΝϯΛ૿͢͜ͱ ܗʹ͠Α͏ɺٕज़ϢʔβʔͷͨΊ wΞτϓοτ͢Δ͜ͱ ͳΜͰΦʔϓϯʹɺ·ͣखΛಈ͔ͦ͏
None
ඪΛཱͯ ٬؍ੑΛ࣋ͬͯࣗͷՌɾ࣮Λड़ ͠ଓ͚ΒΕΔΑ͏ʹ͢Δ
ֶੜɾࣾձਓͱ͔ ؔͳ͍ͣʂʂ
IUUQTUFDIQFQBCPDPNFOHJOFFSBTTFTTNFOU
هͱৼΓฦΓ
ࢿྉ࡞Δͷେม
࣌ؒܦͭͱ ࢥ͍ग़ͤͳ͍
ͭΒ͍
هͨ͠ͷΛݩʹ;Γ͔͑Δ
None
݄࣍ ि࣍ GVSJLͷBDUJWJUZ
ৼΓฦΓ୯Ґ
࣍ɾि࣍ɾ݄࣍ w ͘Β͍͕ͪΐ͏Ͳྑ͍ͱࢥ͏ w ॻ͘͜ͱྫʣ w ࣍ಛʹGVSJLͰऔΕͳ͍ࢀՃͨ͠.5(ɺग़དྷࣄͳͲ w ि࣍िؒͰಛʹҹʹͬͨ͜ͱɺग़དྷͨ͜ͱɾΓͨ ͍͜ͱͳͲ
w ݄࣍ܭը௨ΓʹਐΜͰ͍Δ͔Ͳ͏͔ɺඪͱဃ͕ͳ͍ ͔ͳͲ
ৼΓฦΓํ
৭ʑͳϝιου w ,15ʮ,FFQʹΑ͔ͬͨ͜ͱʯʮ1SPCMFNʹѱ͔ͬͨ͜ͱʯ ʮ5SZʹ࣍ʹࢼ͢͜ͱʯ w :85ʮ:ʹͬͨ͜ͱʯʮ8ʹΘ͔ͬͨ͜ͱʯʮ5ͭ͗ ʹΔ͜ͱʯ w ϑΥʔϚοτܾΊ͗͢Δͱٯʹॻ͖ͮΒ͔ͬͨΓ͢Δͷ ͰࢀߟఔͰ
w ࣍ϑϦʔ ि࣍ɾ݄࣍,15:85ͱ͍͚Δͷ ྑͦ͞͏
·ͱΊ
ඪΛཱͯɺʑΛه͠ɺ;Γ͔͑Δ w ඪΛཱͯͯΈ·ͤΜ͔ʢఆੑతɾఆྔత͋Δͱྑ͍ʣ w ͍εύϯͰΓͨ͜ͱ͕ܾ·͍ͬͯΔ࣌ʹͦͷ ϚΠϧετϯ w Γ͍ͨ͜ͱ͕ͳ͔ͳ͔ܾ·Βͳ͍߹͘͠ Ͱ৭ʑࢼ͢ w
(JU)VCΛͬͨBDUJWJUZऔಘQFQBCPGVSJL͕Φεεϝ w BDUJWJUZͱҰॹʹه͚ͭͯɺ;Γ͔͑Γͯ͠Έ·ͤΜ͔
;Γ͔͑ΓΛ ࣗݾϑΟʔυόοΫͷ खஈͱ͠Α͏
ࠓ͔Βཱ͙ͭ͢ɾ ͑Δٕज़ͷ
)BWFBOJDF;Γ͔͑Γ