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1
Intro
2
What are microservices
3
Scaling
4
SSO
5
The data dichotomy
6
Dont share databases
7
What can we do
8
Data services
9
Data erosion
10
Data divergence
11
Eventdriven architectures
12
EDA
13
Apache Kafka
14
Data Manipulation
15
Immutability
16
Recap
17
References
18
Questions
Description:
Explore the challenges and solutions of integrating microservices in large-scale systems in this 48-minute conference talk from Devoxx. Delve into the data dichotomy between accessibility and encapsulation in service-based architectures. Learn how industry giants like Uber, Netflix, and LinkedIn scale to millions of events per second using shared, immutable record sequences. Discover strategies for balancing internal service data with shared data, and understand the importance of event-driven architectures and tools like Apache Kafka. Gain insights into data manipulation, immutability, and effective microservices integration techniques for building robust, scalable systems.

Integrating Microservices by Accepting the Data Dichotomy

Devoxx
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