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This talk draws on experience across three organizations to examine data consistency challenges in microservices with multiple datastores. It discusses patterns and techniques including compensating operations, reconciliation, event sourcing, and change data capture.
Syllabus
Intro
Why Data Consistency Matters
Why Microservices Architecture
Data Consistency Patterns
Compensating Operations
Reconciliation
End of Day Procedures
How we can reconcile
Complex reconciliation
Application Aware Login
Standard Solution
Seed Guarantee
Change Data Capture
Techniques and Solutions
Challenges
EvenDriven Architecture
My Choice
Consistency Challenges
Designing Data Intensive Applications
Questions
Taught by
Devoxx