Главная
Study mode:
on
1
Introduction
2
Agenda
3
Context
4
The monolith
5
Splitting the monolith
6
Data sharing
7
Simple query
8
Good and bad things
9
Booking indexer
10
Public indexer
11
Booking engine
12
Query by ID
13
Learnings
14
Domain Events
15
Implementation details
16
Landing pages and bookings
17
Analytical BI
18
Data lakes
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DataMesh
20
New Paradigm
21
Architecture Design Implementation
22
Budget
23
Rollout
24
Architecture
25
Data Loss
26
Data Loss Metrics
27
Feedback Loops
28
Questions
29
How to document domain events
30
Publishing events
31
How do you decide which data goes
32
Can I store this data
33
How do I know the state of the group
34
Single point of failure
35
Snapshots
36
Data persistence
37
Main events
Description:
Explore the journey of implementing DataMesh architecture for microservices in this Spring I/O 2022 conference talk. Dive into the challenges and solutions of data sharing between microservices and offline data consumers in the age of autonomous teams and continuous delivery. Learn about eDreams' two-year experience implementing DataMesh, focusing on motivation, technical solutions, and organizational transformation. Discover the architecture of their current implementation, including technologies used and trade-offs made to balance team autonomy, data ownership, quality, privacy regulations, and infrastructure costs. Gain insights into the organizational challenges faced when replacing existing data systems and explore open issues and future work in this field.

Our DataMesh Journey - Data Architectures for Microservices

Spring I/O
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