CASE STUDY
In Nigeria, small and medium-sized businesses, SMBs make up 48 % of the national GDP. Moniepoint provides financial solutions to power the aspirations of these SMBs from payment, credit, business management to banking services. The company has now scaled to support over two million businesses since its founding in 2015.
During its initial growth stages, Moniepoint’ s infrastructure grappled with handling increasing transaction loads. It required manual effort to access and fix data, delaying customer access to their transactions. Felix Ike, CTO and co-founder, Moniepoint identified three main issues with Moniepoint’ s legacy data storage solution that Confluent’ s data streaming solution helped to solve.
Elimination of replication lags database management, but the duplicate copies of the database used for reading data became an issue. As transactions increased, read replicas fell behind, causing replication delays of up to eight or twelve hours.
The lags in replicating the data meant it became increasingly difficult to support the workload using a single database. The read replicas became practically unusable. For example, how do you tell your customers that I cannot display transactions because they are lagging?
Moniepoint eventually adopted a horizontal scaling solution with Confluent. It eliminated the manual effort to address and eliminate individual replication lags. Moniepoint could now capture changes in transaction data efficiently, ensuring near real-time data in read replicas.
Originally, each financial solution had a single database, which used read replicas. This initially helped with
The outperformance of an open-source environment not only resolved scalability challenges, but also
THE ABILITY TO DECOUPLE CRITICAL SERVICES,
COUPLED WITH RELIABLE
SCALING, POSITIONED MONIEPOINT AS A LEADER IN THE
NIGERIAN ECOSYSTEM.
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