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
Serverless Framework ハンズオン資料
Search
堀家隆宏
June 11, 2017
Programming
1
540
Serverless Framework ハンズオン資料
堀家隆宏
June 11, 2017
Tweet
Share
More Decks by 堀家隆宏
See All by 堀家隆宏
オープンソースコミュニティで加速するサーバーレスの未来/serverless will be
horike37
4
700
auth0-meetup.pdf
horike37
1
250
What’s happening with Serverless Framework, and it lives with AWS SAM.
horike37
0
81
What is Serverless. Why is Serverless.
horike37
1
60
aws-with-functional-saas
horike37
2
160
serverless-with-oss
horike37
0
110
slsconftokyo
horike37
0
5.3k
slsconfworkshop
horike37
3
2.5k
Test Driven Development For Lambda
horike37
2
300
Other Decks in Programming
See All in Programming
PHPで学ぶプログラミングの教訓 / Lessons in Programming Learned through PHP
nrslib
3
300
SymfonyCon Vienna 2025: Twig, still relevant in 2025?
fabpot
3
1.2k
From Translations to Multi Dimension Entities
alexanderschranz
2
130
Recoilを剥がしている話
kirik
5
6.8k
テストコード書いてみませんか?
onopon
2
130
テストコード文化を0から作り、変化し続けた組織
kazatohiei
2
1.5k
テストケースの名前はどうつけるべきか?
orgachem
PRO
0
140
各クラウドサービスにおける.NETの対応と見解
ymd65536
0
110
rails statsで大解剖 🔍 “B/43流” のRailsの育て方を歴史とともに振り返ります
shoheimitani
2
940
ChatGPT とつくる PHP で OS 実装
memory1994
PRO
2
110
KubeCon + CloudNativeCon NA 2024 Overviewat Kubernetes Meetup Tokyo #68 / amsy810_k8sjp68
masayaaoyama
0
260
range over funcの使い道と非同期N+1リゾルバーの夢 / about a range over func
mackee
0
110
Featured
See All Featured
Building Applications with DynamoDB
mza
91
6.1k
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
irinanazarova
5
450
Chrome DevTools: State of the Union 2024 - Debugging React & Beyond
addyosmani
2
170
What’s in a name? Adding method to the madness
productmarketing
PRO
22
3.2k
Optimizing for Happiness
mojombo
376
70k
Let's Do A Bunch of Simple Stuff to Make Websites Faster
chriscoyier
507
140k
Optimising Largest Contentful Paint
csswizardry
33
3k
Designing for humans not robots
tammielis
250
25k
Why You Should Never Use an ORM
jnunemaker
PRO
54
9.1k
Practical Orchestrator
shlominoach
186
10k
It's Worth the Effort
3n
183
28k
VelocityConf: Rendering Performance Case Studies
addyosmani
326
24k
Transcript
4FSWFSMFTT'SBNFXPSL ϋϯζΦϯͦͷ
4FSWFSMFTTͷૢ࡞ʹඞཁͳίϚϯυΛ Ұ௨Γ৮ͬͯ։ൃͷϥΠϑαΠΫϧʹ׳ΕΑ͏ ϋϯζΦϯͷΰʔϧ
ϋϯζΦϯͷίϐϖ༻(JTU IUUQCJUMZT,OO
Πϯετʔϧ͔Βॳظઃఆ·Ͱ
Πϯετʔϧ OQNJOTUBMMHTFSWFSMFTT TFSWFSMFTTW
$SFEFOUJBMͷઃఆ "ENJOJTUSBUPS"DDFTTͷ*".ϢʔβΛ࡞ͯ͠ ΫϨσϯγϟϧΛϩʔΧϧʹอଘ͍ͯͩ͘͠͞
$SFEFOUJBMͷઃఆ TFSWFSMFTTDPOpHDSFEFOUJBMTQSPWJEFSBXTLFZZPVSLFZTFDSFUZPVS TFDSFUQSPpMFTMTXPSLTIPQ
։ൃϑϩʔΛḷΓͭͭ ඞཁͳίϚϯυΛୟ͍͍͖ͯ·͠ΐ͏
αʔϏεͷ࡞ TFSWFSMFTTZNM ͷΞʔΩςΫνϟ ఆٛ σϓϩΠ Ϋϥυ্Ͱ ͷςετ ։ൃͷϫʔΫϑϩʔ ϩʔΧϧͰͷ GVODUJPO։ൃ
αʔϏεͷ࡞ TFSWFSMFTTDSFBUFUFNQMBUFBXTOPEFKTQBUITMTXPSLTIPQ
αʔϏεͷ࡞ TFSWFSMFTTDSFBUFUFNQMBUFBXTOPEFKTQBUITMTXPSLTIPQ BXTOPEFKT BXTQZUIPO BXTQZUIPO BXTHSPPWZHSBEMF BXTKBWBNBWFO BXTKBWBHSBEMF BXTTDBMBTCU BXTDTIBSQ
αʔϏεͷ࡞ ग़དྷͨαʔϏεͷσΟϨΫτϦߏΛ֬ೝͯ͠Έ·͠ΐ͏
αʔϏεͷ࡞ TFSWFSMFTTZ NMͷΞʔΩςΫ νϟఆٛ σϓϩΠ Ϋϥυ্Ͱ ͷςετ ։ൃͷϫʔΫϑϩʔ ϩʔΧϧͰͷ GVODUJPO։ൃ
TFSWFSMFTTZNMͷΞʔΩςΫνϟఆٛ TFSWFSMFTTZNMΛΤσΟλͰ։͍͍ͯͩ͘͞
TFSWFSMFTTZNMͷΞʔΩςΫνϟఆٛ TFSWJDFTMTXPSLTIPQ QSPWJEFS OBNFBXT QSPpMFTMTXPSLTIPQ SVOUJNFOPEFKT GVODUJPOT IFMMP IBOEMFSIBOEMFSIFMMP FWFOUT
IUUQ QBUIIFMMP NFUIPEHFU IUUQΠϕϯτΛ࣋ͬͨ ϑΝϯΫγϣϯΛఆٛ͠·͢
αʔϏεͷ࡞ TFSWFSMFTTZ NMͷΞʔΩςΫ νϟఆٛ σϓϩΠ Ϋϥυ্Ͱ ͷςετ ։ൃͷϫʔΫϑϩʔ ϩʔΧϧͰͷ GVODUJPO։ൃ
ϩʔΧϧͰͷGVODUJPO։ൃ IBOEMFSKTΛΤσΟλͰ։͍ͯίʔυΛฤू͍ͯͩ͘͠͞
ϩʔΧϧͰͷGVODUJPO։ൃ TFSWFSMFTTJOWPLFMPDBMGVODUJPOIFMMP TFSWJDFTMTXPSLTIPQ QSPWJEFS OBNFBXT SVOUJNFOPEFKT GVODUJPOT IFMMP IBOEMFSIBOEMFSIFMMP FWFOUT
IUUQ QBUIIFMMP NFUIPEHFU ϩʔΧϧͰٙࣅ-BNCEBΛ࣮ߦ͠·͢
ϩʔΧϧͰͷGVODUJPO։ൃ TFSWFSMFTTJOWPLFMPDBMGVODUJPOIFMMP
αʔϏεͷ࡞ TFSWFSMFTTZ NMͷΞʔΩςΫ νϟఆٛ σϓϩΠ Ϋϥυ্Ͱ ͷςετ ։ൃͷϫʔΫϑϩʔ ϩʔΧϧͰͷ GVODUJPO։ൃ
ΫϥυڥͷσϓϩΠ TFSWFSMFTTEFQMPZWFSCPTF
ΫϥυڥͷσϓϩΠ දࣔ͞ΕͨIUUQΤϯυϙΠϯτΛϒϥβͰදࣔ͠ ͯਖ਼͘͠σϓϩΠ͞Ε͔ͨ֬ೝͯ͠Έ·͠ΐ͏
αʔϏεͷ࡞ TFSWFSMFTTZ NMͷΞʔΩςΫ νϟఆٛ σϓϩΠ Ϋϥυ্Ͱͷ ςετ ։ൃͷϫʔΫϑϩʔ ϩʔΧϧͰͷ GVODUJPO։ൃ
Ϋϥυ্Ͱͷςετ TFSWFSMFTTJOWPLFGVODUJPOIFMMPMPH
Ϋϥυ্Ͱͷςετ IBOEMFSKTΛฤूͯ͠Τϥʔ͕ग़Δঢ়ଶʹͯ͠Έ·͠ΐ͏
Ϋϥυ্Ͱͷςετ TFSWFSMFTTEFQMPZWFSCPTF GVODUJPOͷΈ࠶σϓϩΠ
Ϋϥυ্Ͱͷςετ TFSWFSMFTTJOWPLFGVODUJPOIFMMPMPH ࠶JOWPLF
Ϋϥυ্Ͱͷςετ TFSWFSMFTTEFQMPZMJTU ϩʔϧόοΫͯ͠ΈΑ͏
Ϋϥυ্Ͱͷςετ TFSWFSMFTTSPMMCBDLUJNFTUBNQ ϩʔϧόοΫͯ͠ΈΑ͏
Ϋϥυ্Ͱͷςετ TFSWFSMFTTJOWPLFGVODUJPOIFMMPMPH ෮چ֬ೝ
Ϋϥυ্Ͱͷςετ TFSWFSMFTTMPHTGVODUJPOIFMMP ϩά֬ೝ