- Mailing Lists
- in
- Data Sharing Between Microservices
Archives
- By thread 4452
-
By date
- June 2021 10
- July 2021 6
- August 2021 20
- September 2021 21
- October 2021 48
- November 2021 40
- December 2021 23
- January 2022 46
- February 2022 80
- March 2022 110
- April 2022 99
- May 2022 98
- June 2022 104
- July 2022 83
- August 2022 95
- September 2022 102
- October 2022 118
- November 2022 115
- December 2022 101
- January 2023 89
- February 2023 90
- March 2023 115
- April 2023 98
- May 2023 160
- June 2023 143
- July 2023 121
- August 2023 90
- September 2023 101
- October 2023 106
- November 2023 101
- December 2023 73
- January 2024 75
- February 2024 75
- March 2024 78
- April 2024 74
- May 2024 108
- June 2024 99
- July 2024 115
- August 2024 134
- September 2024 130
- October 2024 141
- November 2024 171
- December 2024 115
- January 2025 216
- February 2025 140
- March 2025 220
- April 2025 26
Test drive AI-powered observability and prep for PEP
AI meets Customer Experience. Watch on-demand now!
Data Sharing Between Microservices
Data Sharing Between Microservices
Latest articlesIf you’re not a subscriber, here’s what you missed this month. To receive all the full articles and support ByteByteGo, consider subscribing: Microservices architecture has become popular for building complex, scalable software systems. This architectural style structures an application as a collection of loosely coupled, independently deployable services. Each microservice is focused on a specific business capability and can be developed, deployed, and scaled independently. While microservices offer numerous benefits, such as improved scalability, flexibility, and faster time to market, they also introduce significant challenges in terms of data management. One of the fundamental principles of microservices architecture is that each service should own and manage its data. This principle is often expressed as "don't share databases between services” and it aims to ensure loose coupling and autonomy among services, allowing them to evolve independently. However, it's crucial to distinguish between sharing a data source and sharing data itself. While sharing a data source (e.g., a database) between services is discouraged, sharing data between services is often necessary and acceptable. In this post, we’ll look at different ways of sharing data between microservices and the various advantages and disadvantages of specific approaches. ![]() Continue reading this post for free in the Substack app© 2024 ByteByteGo |
by "ByteByteGo" <bytebytego@substack.com> - 10:37 - 17 Oct 2024