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
Case study of the good enough architecture
Search
Jakub Kubryński
July 01, 2017
Programming
0
450
Case study of the good enough architecture
Jakub Kubryński
July 01, 2017
Tweet
Share
More Decks by Jakub Kubryński
See All by Jakub Kubryński
Autonomous deployments in modern distributed systems
jkubrynski
1
120
Bulletproof communication in distributed systems
jkubrynski
0
540
JVM Workshop
jkubrynski
1
200
Engineering architecture
jkubrynski
0
820
JPA - Beyond Copy-Paste
jkubrynski
3
1.6k
Microservices - The Naked Truth Of The Maintainability
jkubrynski
1
730
Other Decks in Programming
See All in Programming
CSC307 Lecture 06
javiergs
PRO
0
680
CSC307 Lecture 05
javiergs
PRO
0
490
Rust 製のコードエディタ “Zed” を使ってみた
nearme_tech
PRO
0
140
フロントエンド開発の勘所 -複数事業を経験して見えた判断軸の違い-
heimusu
7
2.8k
Vibe codingでおすすめの言語と開発手法
uyuki234
0
220
Architectural Extensions
denyspoltorak
0
270
Apache Iceberg V3 and migration to V3
tomtanaka
0
150
CSC307 Lecture 08
javiergs
PRO
0
660
dchart: charts from deck markup
ajstarks
3
990
【卒業研究】会話ログ分析によるユーザーごとの関心に応じた話題提案手法
momok47
0
190
疑似コードによるプロンプト記述、どのくらい正確に実行される?
kokuyouwind
0
380
AI時代のキャリアプラン「技術の引力」からの脱出と「問い」へのいざない / tech-gravity
minodriven
20
6.6k
Featured
See All Featured
End of SEO as We Know It (SMX Advanced Version)
ipullrank
3
3.9k
What the history of the web can teach us about the future of AI
inesmontani
PRO
1
420
Fight the Zombie Pattern Library - RWD Summit 2016
marcelosomers
234
17k
Skip the Path - Find Your Career Trail
mkilby
0
52
Claude Code どこまでも/ Claude Code Everywhere
nwiizo
61
52k
The Web Performance Landscape in 2024 [PerfNow 2024]
tammyeverts
12
1k
Neural Spatial Audio Processing for Sound Field Analysis and Control
skoyamalab
0
160
Build The Right Thing And Hit Your Dates
maggiecrowley
38
3k
AI in Enterprises - Java and Open Source to the Rescue
ivargrimstad
0
1.1k
Lessons Learnt from Crawling 1000+ Websites
charlesmeaden
PRO
1
1.1k
DevOps and Value Stream Thinking: Enabling flow, efficiency and business value
helenjbeal
1
89
How to train your dragon (web standard)
notwaldorf
97
6.5k
Transcript
@jkubrynski CASE STUDY OF THE GOOD ENOUGH ARCHITECTURE JAKUB KUBRYNSKI
[email protected]
/ @jkubrynski / kubrynski.com
$ WHOAMI DEVSKILLER CO-FOUNDER BOTTEGA TRAINER DEVOXX.PL PROGRAM COMMITTEE MEMBER
OPEN SOURCE CONTRIBUTOR
"Have no fear of perfection - you'll never reach it."
― Salvador Dalí
WHAT YOU CAN LEARN FROM A STARTUP
IS THERE A PERFECT ARCHITECTURE?
FAST FEEDBACK AND COST-EFFECTIVE
1. MOST ORGANIZATIONS "DO AGILE" 2. MOST ORGANIZATIONS SHIP NEW
FEATURES IN MONTHS
DON'T DO AGILE. BE AGILE!
CONTINUOUS DELIVERY
RELEASE VS DEPLOYMENT
REGRESSION IS TOO EXPENSIVE
VERIFY CRITICAL PATHS AND LET YOUR USERS DO THE REST
BUT... CARE ABOUT UNIT TESTS AND FIX BUGS AS ASAP
AS POSSIBLE
MICROSERVICES AUTONOMOUS RELEASES CLOUD READY FAST PIPELINES
COMMUNICATION IS THE ROOT OF ALL EVIL
SLA 99.9 ^ 10 = 99.0
QUALITY SHARED MODEL? E2E TESTS?
CONTRACTS FTW! IF A==C && B==C THEN A==B
SAY NO TO VERSIONING BE UP TO DATE
PERFORMANCE
PERFORMANCE TESTS ARE EVEN MORE EXPENSIVE THAN REGRESSION
PERFORMANCE TESTS CANARY DEPLOYMENTS MONITORING
MONITORING IS THE NEW TESTING
MONITORING PERFORMANCE SYSTEM HEALTH EXCEPTIONS
METRICS EVERYWHERE LIVE BUSINESS INTELLIGENCE DATA DRIVEN ORGANIZATION
DATA DRIVEN MEANS ONLY VALUABLE STUFF
ANY ACTION IS AN INVESTMENT
THINK ABOUT ROI
SAFE TO FAIL MINIMIZE IMPACT
SAFE TO FAIL SELF-HEALING COMMUNICATION
SAFE TO FAIL INSTANT WARNING
SAFE TO FAIL ROLLBACK
SAFE TO FAIL ELIMINATE HUMAN ERRORS
REPEATABILITY
AUTOMATION
MACHINES COMPARED TO HUMANS: ARE GOOD IN REPEATING TASKS ARE
EASY TO ESTIMATE ARE MUCH CHEAPER
AUTOMATE TESTS
AUTOMATE DEPLOYMENTS
AUTOMATE SETUP
AUTOMATE INFRASTRUCTURE
EVERYTHING IS CODE APPLICATION SOURCE BUILD JOBS DEPLOYMENT PIPELINES DEPLOYMENT
SCRIPTS INFRASTRUCTURE OS CONFIGURATION APPLICATION PROPERTIES RUN BOOKS
NO BACKUPS * EXCEPT DATA AND GIT
MINIMIZE OVERHEAD BY KEEPING ORDER
CONVENTION OVER CONFIGURATION
CONVENTION EXAMPLE repository: git.acme.com/repos/{serviceName}.git artifactId: target/{serviceName}.jar application home: /opt/{serviceName} logs:
/opt/{serviceName}/logs/service.log dashboard: grafana.acme.com/dashboard/db/{serviceName} public ip: acme-prod-weu-{serviceName}-pip loadbalancer: acme-prod-weu-{serviceName}-lb VMs: acme-prod-weu-{serviceName}-vm-{i}
GOOD ENOUGH
KEY TAKEAWAYS MONITORING AUTOMATION CONVENTIONS CONTINUOUS DELIVERY
QUESTIONS?
THANKS FOR YOUR PATIENCE