Upgrade to Pro — share decks privately, control downloads, hide ads and more …
Sign up for free

Building a Cloud-Native PaaS

Avatar for Ilya Kaznacheev Ilya Kaznacheev
October 18, 2023
Technology
180
0

Building a Cloud-Native PaaS

Avatar for Ilya Kaznacheev

Ilya Kaznacheev

October 18, 2023

More Decks by Ilya Kaznacheev

See All by Ilya Kaznacheev
Road to four nines
Avatar for Ilya Kaznacheev dreamworm
0
51
Many Layers of Availability
Avatar for Ilya Kaznacheev dreamworm
0
120
Stateful Solutions: A Hands-On Guide to FSM in Golang
Avatar for Ilya Kaznacheev dreamworm
0
230
CQRS
Avatar for Ilya Kaznacheev dreamworm
0
210
Distributed System State Management: When Transactions Are Long and SLA Is High
Avatar for Ilya Kaznacheev dreamworm
0
180
How To Create Saga-Free Distributed Transactions
Avatar for Ilya Kaznacheev dreamworm
0
98
Architectural decisions in building distributed systems
Avatar for Ilya Kaznacheev dreamworm
0
54
Распределенные транзакции без саг
Avatar for Ilya Kaznacheev dreamworm
0
230
Управляем состоянием распределенных систем без боли
Avatar for Ilya Kaznacheev dreamworm
0
230

Other Decks in Technology

See All in Technology
Codex概要
Avatar for Y.Miyado ymiya55
0
400
インバスケット試験対策アプリを 作って見えたAIエージェント構築 ナレッジ2選
Avatar for ShichijoYuhi shichijoyuhi
1
130
ai_cording_with_k8s_knowledge.pdf
Avatar for mochizuki875 mochizuki875
1
280
並行性の問題を防げ！実践トランザクション入門
Avatar for Shoichi Ochi occhi
0
260
メルペイ 会計システム概要と歴史
Avatar for mewuto mewuto
0
150
今こそ知りたいAmplifyGen2
Avatar for k.masachika mkdev10
2
150
組み立てて楽しむ AWS Blocks 入門
Avatar for たけのこ kmiya84377
0
210
[2026 Oracle Technical Deep Dive] AI時代のデータベース基盤をどう選ぶ？ Exadata Database Serviceの選択肢と使い分け (2026年9月17日開催)
Avatar for oracle4engineer oracle4engineer
PRO
0
220
[2026 Oracle Technical Deep Dive] オンプレミスDBのCloud移行アプローチ：移行計画に基づくメソッドとツールの選択 (2026年9月17日開催)
Avatar for oracle4engineer oracle4engineer
PRO
0
140
AI 時代の Azure エンジニアリング ～ 私たちは何を磨き、何を任せるのか ～
Avatar for Akira Inoue chack411
1
450
おそらく日本で唯一のDevRelインターン生として
Avatar for husensan husengs7
0
170
調査タスクをAIと乗り切る 〜過去の調査をナレッジ化し 調査手順をスキルにする〜
Avatar for GO Inc. dev mot_techtalk
1
110

Featured

See All Featured
Information Architects: The Missing Link in Design Systems
Avatar for Michelle Chin soysaucechin
1
1.2k
Context Engineering - Making Every Token Count
Avatar for Addy Osmani addyosmani
9
1.2k
Google's AI Overviews - The New Search
Avatar for Barry Adams badams
0
1.6k
Why Our Code Smells
Avatar for Brandon Keepers bkeepers
PRO
340
58k
RailsConf & Balkan Ruby 2019: The Past, Present, and Future of Rails at GitHub
Avatar for Eileen M. Uchitelle eileencodes
141
35k
Side Projects
Avatar for Sacha Greif sachag
456
43k
SEO in 2025: How to Prepare for the Future of Search
Avatar for Michael King ipullrank
3
3.9k
Building the Perfect Custom Keyboard
Avatar for Naoto Takai takai
2
890
The Limits of Empathy - UXLibs8
Avatar for Cassini Nazir cassininazir
1
700
How to Ace a Technical Interview
Avatar for Jacob Kaplan-Moss jacobian
280
24k
Save Time (by Creating Custom Rails Generators)
Avatar for Garrett Dimon garrettdimon
PRO
33
5.1k
Learning to Love Humans: Emotional Interface Design
Avatar for Aarron Walter aarron
275
41k

Transcript

  1. Building a Cloud-Native PaaS Architecture Tips and Tricks for a

    High SLA Ilya Kaznacheev DevFest Vienna 2023

  2. Ilya Kaznacheev Cloud Native Architect Google Developer Expert (Cloud) PhD

    in Engineering GCP PCA, CNCF CKA

  3. what is PaaS?

  4. None

  5. aaS

  6. what is a Cloud-Native PaaS?

  7. how to build a Cloud-Native PaaS?

  8. 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

  9. roadmap 9

  10. None
  11. None
  12. None
  13. None
  14. None

  15. roadmap 15

  16. roadmap 16

  17. None
  18. None

  19. Domain Driven Design

  20. None
  21. None
  22. None

  23. roadmap 23

  24. roadmap 24

  25. None
  26. None
  27. None
  28. None
  29. None

  30. Finite State Machine

  31. None
  32. None
  33. None
  34. None
  35. None
  36. None
  37. None
  38. None
  39. None
  40. None
  41. None

  42. roadmap 42

  43. roadmap 43

  44. domain event handling

  45. None
  46. None
  47. None
  48. None
  49. None
  50. None
  51. None

  52. error handling

  53. None
  54. None
  55. None

  56. roadmap 56

  57. roadmap 57

  58. cross-domain event handling

  59. None
  60. None
  61. None
  62. None
  63. None
  64. None
  65. None
  66. None

  67. roadmap 67

  68. roadmap 68

  69. distributed transactions

  70. None
  71. None
  72. None
  73. None
  74. None
  75. None
  76. None
  77. None
  78. None
  79. None
  80. None
  81. None
  82. None
  83. None
  84. None
  85. None
  86. None
  87. None
  88. None
  89. None
  90. None
  91. None
  92. None
  93. None
  94. None
  95. None
  96. None

  97. roadmap 97

  98. roadmap 98

  99. speed up feature delivery? reduce troubleshooting time?

  100. CQRS

  101. None
  102. None
  103. None
  104. None
  105. None
  106. None
  107. None
  108. None

  109. roadmap 10

  110. roadmap 11

  111. data consistency

  112. None
  113. None
  114. None

  115. outbox pattern

  116. None
  117. None

  118. roadmap 11

  119. roadmap 11

  120. observability

  121. None
  122. None

  123. roadmap 12

  124. roadmap 12

  125. Outcomes • user action processes are resilient • data is

    consistent • SLAs are met

  126. Outcomes • codebase is readable • complex logic is maintainable

    • distributed processes are transparent • new features added quickly • easy to write tests

  127. 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

  128. thanks!

  129. LinkedIn Web