1 Lakh Users. 20K Requests/sec. CQRS & SAGA Patterns Saved Our LMS
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A fintech team faced system failures when their loan management system couldn't handle partial failures during loan rescheduling operations. The monolithic approach caused data inconsistencies when services failed mid-process. They solved this by implementing CQRS to separate read and write operations, and SAGA pattern to manage distributed transactions with automatic rollback capabilities. The solution transformed their system from handling 1 lakh users with frequent failures to processing 20K requests per second reliably.
Table of contents
1 Lakh Users. 20K Requests/sec. CQRS & SAGA Patterns Saved Our LMSRealizing We Mixed EverythingApplying CQRS, Commands and QueriesBut What About Failures?What Is SAGA, And Why We Needed ItWhy We Needed SAGAWhat Is SAGAHow We Used SAGAWhat ChangedWhat We Learned And When to Use CQRS and SAGAFinal ThoughtSort: