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
Building a Cloud-Native PaaS
Search
Ilya Kaznacheev
October 18, 2023
Technology
0
110
Building a Cloud-Native PaaS
Ilya Kaznacheev
October 18, 2023
Tweet
Share
More Decks by Ilya Kaznacheev
See All by Ilya Kaznacheev
Many Layers of Availability
dreamworm
0
53
Stateful Solutions: A Hands-On Guide to FSM in Golang
dreamworm
0
140
CQRS
dreamworm
0
120
Distributed System State Management: When Transactions Are Long and SLA Is High
dreamworm
0
100
How To Create Saga-Free Distributed Transactions
dreamworm
0
56
Architectural decisions in building distributed systems
dreamworm
0
19
Распределенные транзакции без саг
dreamworm
0
170
Управляем состоянием распределенных систем без боли
dreamworm
0
180
Patterns of cloud scaling
dreamworm
0
120
Other Decks in Technology
See All in Technology
[2025-09-30] Databricks Genie を利用した分析基盤とデータモデリングの IVRy の現在地
wxyzzz
0
400
5年間のFintech × Rails実践に学ぶ - 基本に忠実な運用で築く高信頼性システム / 5 Years Fintech Rails Retrospective
ohbarye
9
3.3k
Azure SynapseからAzure Databricksへ 移行してわかった新時代のコスト問題!?
databricksjapan
0
110
組織観点からIAM Identity CenterとIAMの設計を考える
nrinetcom
PRO
1
130
Deep Research と NotebookLM を使い倒す!レガシーリプレイスの技術選定と学習コスト削減術
tet0h
0
2.8k
analysis パッケージの仕組みの上でMulti linter with configを実現する / Go Conference 2025
k1low
1
240
今改めてServiceクラスについて考える 〜あるRails開発者の10年〜
joker1007
20
8.8k
What is BigQuery?
aizack_harks
0
120
いま注目しているデータエンジニアリングの論点
ikkimiyazaki
0
520
AIを導⼊しても、 開発⽣産性は"爆増"していない なぜ?
kinosuke01
4
3.6k
そのグラフに「魂」は宿っているか? ~生成AI全盛期におけるデータ可視化手法とライブラリ比較~
negi111111
2
820
BirdCLEF+2025 Noir 5位解法紹介
myso
0
150
Featured
See All Featured
Why You Should Never Use an ORM
jnunemaker
PRO
59
9.5k
Facilitating Awesome Meetings
lara
56
6.6k
Imperfection Machines: The Place of Print at Facebook
scottboms
269
13k
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
48
9.7k
KATA
mclloyd
32
14k
Reflections from 52 weeks, 52 projects
jeffersonlam
352
21k
Git: the NoSQL Database
bkeepers
PRO
431
66k
Understanding Cognitive Biases in Performance Measurement
bluesmoon
29
2.6k
Build your cross-platform service in a week with App Engine
jlugia
231
18k
How to train your dragon (web standard)
notwaldorf
96
6.2k
Making Projects Easy
brettharned
118
6.4k
Fashionably flexible responsive web design (full day workshop)
malarkey
407
66k
Transcript
Building a Cloud-Native PaaS Architecture Tips and Tricks for a
High SLA Ilya Kaznacheev DevFest Vienna 2023
Ilya Kaznacheev Cloud Native Architect Google Developer Expert (Cloud) PhD
in Engineering GCP PCA, CNCF CKA
what is PaaS?
None
aaS
what is a Cloud-Native PaaS?
how to build a Cloud-Native PaaS?
What we wanted to achieve • SLA 99,99% (availability +
reliability) • quick incident reaction • fast feature delivery • atomicity and consistency across the system • readable and maintainable code base
roadmap 9
None
None
None
None
None
roadmap 15
roadmap 16
None
None
Domain Driven Design
None
None
None
roadmap 23
roadmap 24
None
None
None
None
None
Finite State Machine
None
None
None
None
None
None
None
None
None
None
None
roadmap 42
roadmap 43
domain event handling
None
None
None
None
None
None
None
error handling
None
None
None
roadmap 56
roadmap 57
cross-domain event handling
None
None
None
None
None
None
None
None
roadmap 67
roadmap 68
distributed transactions
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
roadmap 97
roadmap 98
speed up feature delivery? reduce troubleshooting time?
CQRS
None
None
None
None
None
None
None
None
roadmap 10
roadmap 11
data consistency
None
None
None
outbox pattern
None
None
roadmap 11
roadmap 11
observability
None
None
roadmap 12
roadmap 12
Outcomes • user action processes are resilient • data is
consistent • SLAs are met
Outcomes • codebase is readable • complex logic is maintainable
• distributed processes are transparent • new features added quickly • easy to write tests
Outcomes • error localization speed decreased by 20 times (up
to minutes) • debugging and troubleshooting is simpli fi ed • issue processing has accelerated • developers are happy • testers are happy • customers are happy
thanks!
LinkedIn Web