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
Continuous Integration with GitLab
Search
Ivan Nemytchenko
November 23, 2016
Programming
0
1.6k
Continuous Integration with GitLab
Ivan Nemytchenko
November 23, 2016
Tweet
Share
More Decks by Ivan Nemytchenko
See All by Ivan Nemytchenko
Code Topology Notation
inem
0
140
The Shape of a Service Object
inem
0
1.2k
The Curse of Service Object
inem
0
330
Modern Make for modern (Rails) programmers
inem
0
100
Откуда берется сложность в Rails-проектах и куда бы её деть?
inem
0
300
Rails без боли и оверинжиниринга
inem
0
550
Painless Rails: наводим порядок в контроллерах
inem
0
290
Less Abstract! Surprising effects of expressing OOP in pictures
inem
1
630
Pure functions and side effects
inem
0
56
Other Decks in Programming
See All in Programming
TDD 実践ミニトーク
contour_gara
1
280
The state patternの実践 個人開発で培ったpractice集
miyanokomiya
0
160
AI OCR API on Lambdaを Datadogで可視化してみた
nealle
0
220
RDoc meets YARD
okuramasafumi
4
160
AI時代のドメイン駆動設計-DDD実践におけるAI活用のあり方 / ddd-in-ai-era
minodriven
25
9.6k
UbieのAIパートナーを支えるコンテキストエンジニアリング実践
syucream
2
800
tool ディレクティブを導入してみた感想
sgash708
1
160
Introducing ReActionView: A new ActionView-compatible ERB Engine @ Rails World 2025, Amsterdam
marcoroth
0
290
パスタの技術
yusukebe
1
560
プロポーザル駆動学習 / Proposal-Driven Learning
mackey0225
1
260
MCPとデザインシステムに立脚したデザインと実装の融合
yukukotani
3
1k
JSONataを使ってみよう Step Functionsが楽しくなる実践テクニック #devio2025
dafujii
0
230
Featured
See All Featured
How To Stay Up To Date on Web Technology
chriscoyier
790
250k
The Web Performance Landscape in 2024 [PerfNow 2024]
tammyeverts
9
800
VelocityConf: Rendering Performance Case Studies
addyosmani
332
24k
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
48
9.7k
Side Projects
sachag
455
43k
The Art of Programming - Codeland 2020
erikaheidi
55
13k
The Illustrated Children's Guide to Kubernetes
chrisshort
48
50k
BBQ
matthewcrist
89
9.8k
Rebuilding a faster, lazier Slack
samanthasiow
83
9.1k
Become a Pro
speakerdeck
PRO
29
5.5k
Docker and Python
trallard
45
3.5k
Building a Scalable Design System with Sketch
lauravandoore
462
33k
Transcript
CONTINUOUS INTEGRATION WITH GITLAB IVAN NEMYTCHENKO, DEVELOPER ADVOCATE
MODERN SOFTWARE DEVELOPMENT PROCESS IS SPREAD ACROSS MANY TOOLS
Travis - GitHub - Trello - Slack
Bitbucket - Semaphore - Pivotal Tracker - HipChat
Jenkins - GitLab - Jira
None
None
None
None
None
None
None
None
None
None
None
CATGREP SOPHISTICATED TECHNOLOGIES INC. > file1.txt > file2.txt
REQUIREMENT #1 CONCATENATION RESULT SHOULD CONTAIN "HELLO WORLD"
cat file1.txt file2.txt | grep -q "Hello world"
None
RUN OUR FIRST TEST INSIDE CI
.gitlab-ci.yml
test: script: cat file1.txt file2.txt | grep -q 'Hello world'
None
None
REQUIREMENT #2 PACKAGE CODE BEFORE SENDING IT TO CUSTOMER
test: script: cat file1.txt file2.txt | grep -q 'Hello world'
package: script: cat file1.txt file2.txt | gzip > package.gz
None
MAKE RESULTS OF YOUR BUILD DOWNLOADABLE
test: script: cat file1.txt file2.txt | grep -q 'Hello world'
package: script: cat file1.txt file2.txt | gzip > packaged.gz artifacts: paths: - packaged.gz
None
RUN JOBS SEQUENTIALLY
stages: - test - package test: stage: test script: cat
file1.txt file2.txt | grep -q 'Hello world' package: stage: package script: cat file1.txt file2.txt | gzip > packaged.gz artifacts: paths: - packaged.gz
SPEEDING UP THE BUILD
#1: DUPLICATION
stages: - compile - test - package compile: stage: compile
script: cat file1.txt file2.txt > compiled.txt artifacts: paths: - compiled.txt test: stage: test script: cat compiled.txt | grep -q 'Hello world' package: stage: package script: cat compiled.txt | gzip > packaged.gz artifacts: paths: - packaged.gz
#2: RUBY 2.1 ????
LEARNING WHAT DOCKER IMAGE TO USE
image: alpine
image: alpine stages: - compile - test - package compile:
... test: ...
None
> defined 3 stages > pass files between stages >
downloadable artifacts > optimized execution time
REQUIREMENT #3 ISO INSTEAD OF GZIP
DEALING WITH COMPLEX SCENARIOS
None
image: alpine stages: - compile - test - package compile:
... test: ... pack-gz: stage: package script: cat compiled.txt | gzip > packaged.gz artifacts: paths: - packaged.gz pack-iso: stage: package script: - mkisofs -o ./packaged.iso ./compiled.txt artifacts: paths: - packaged.iso
None
DEALING WITH MISSING SOFTWARE/PACKAGES
INSTALL PACKAGE IN ALPINE LINUX apk add -U cdrkit
script: - apk add -U cdrkit - mkisofs -o ./packaged.iso
./compiled.txt
pack-iso: stage: package before_script: - apk add -U cdrkit script:
- mkisofs -o ./packaged.iso ./compiled.txt artifacts: paths: - packaged.iso
None
None
GITLAB REQUIREMENT #4 PUBLISH A SMALL WEBSITE WITH OUR PACKAGES
HTML + PACKAGES → AMAZON S3
aws s3 cp ./ s3://yourbucket/ --recursive
None
None
FIRST AUTOMATED DEPLOYMENT
> awscli can be installed using pip > pip goes
together with python
s3: image: python:latest stage: deploy script: - pip install awscli
- aws s3 cp ./ s3://yourbucket/ --recursive
AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY
variables: AWS_ACCESS_KEY_ID: "AKIAIOSFODNN7EXAMPLE" AWS_SECRET_ACCESS_KEY: “wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY” s3: image: python:latest stage: deploy
script: - pip install awscli - aws s3 cp ./ s3://yourbucket/ --recursive
KEEPING SECRET THINGS SECRET
SETTINGS --> VARIABLES
s3: image: python:latest stage: deploy script: - pip install awscli
- aws s3 cp ./ s3://yourbucket/ --recursive
So far so good:
REQUIREMENT #5 MORE THAN ONE DEVELOPER ON THE PROJECT
s3: image: python:latest stage: deploy script: - pip install awscli
- aws s3 cp ./ s3://yourbucket/ --recursive only: - master
None
REQUIREMENT #6 WE NEED A SEPARATE PLACE FOR TESTING
GITLAB PAGES
HOST WEBSITES ON GITLAB PAGES > your job should be
named "pages" > put your files into "public" folder > specify "artifacts" section with this "public" folder
HOST WEBSITES ON GITLAB PAGES > your job should be
named "pages" > put your files into "public" folder > specify "artifacts" section with this "public" folder HTTP://<USERNAME>.GITLAB.IO/<PROJECTNAME>
pages: stage: deploy image: alpine:latest script: - mkdir -p ./public
&& cp ./*.* ./public/ artifacts: paths: - public except: - master
s3: image: python:latest stage: deploy script: - pip install awscli
- aws s3 cp ./ s3://yourbucket/ --recursive only: - master pages: image: alpine:latest stage: deploy script: - mkdir -p ./public && cp ./*.* ./public/ artifacts: paths: - public except: - master
None
None
None
INTRODUCING ENVIRONMENTS
s3: environment: production image: python:latest stage: deploy script: - pip
install awscli - aws s3 cp ./ s3://$S3_BUCKET_NAME/ --recursive only: - master pages: image: alpine:latest environment: staging stage: deploy script: - mkdir -p ./public && cp ./*.* ./public/ artifacts: paths: - public except: - master
None
None
None
REQUIREMENT #7 DO NOT MESS UP PRODUCTION
SWITCHING TO MANUAL DEPLOYMENT
s3: image: python:latest stage: deploy script: - pip install awscli
- aws s3 cp ./ s3://yourbucket/ --recursive only: - master when: manual
SUMMARY 1. Deployment is just a set of commands 2.
You need to provide secret keys 3. You specify where which branches should go to 4. GitLab conserves the history of deployments 5. You can enable manual deployment
None
None
None
GO TO GITLAB.COM
@INEM
[email protected]
BIT.LY/GITLAB-CI1 BIT.LY/GITLAB-CI2