→ Enable the platform to comfortably support peak concurrent transactions.
→ Mitigate the risk of unexpected service interruptions by establishing a high-availability database cluster.
→ Control and optimize overall database infrastructure ARR.
→ Improve database responsiveness to maintain a fast, friction-free user experience.
→ Implement data retention and archiving policies that align with regulatory compliance guidelines for financial platforms.
The team carried out schema-level adjustments, choosing optimal data types to minimize storage footprints, reduce memory consumption, and enhance query execution times.
Database partitioning was designed and implemented based on specific query patterns, resolving scalability bottlenecks and creating a path for data archiving.
The team successfully upgraded the database environment from PostgreSQL 9.5 to PostgreSQL 12. This migration was executed entirely during live operations with zero service downtime.
Bi-Directional Replication (BDR) was configured to establish an active-active high-availability solution, eliminating single points of failure (SPOF) and assuring business continuity.
PostgreSQL parameters were adjusted to handle KreditBee's rapidly expanding transactional workload, optimizing resource utilization on Amazon EC2 instances.
The platform achieved a capacity of 20,000 transactions per second (TPS), allowing it to handle massive spikes in loan applications without any system degradation.
System upgrades and regular database changes are performed during active hours with zero disruption, preserving customer trust and transactions during peak lending hours.
Infrastructure adjustments lowered cloud operational costs on Amazon EC2, translating directly into an estimated $350,000 savings in projected infrastructure ARR.
The high-availability BDR configuration secures the system against unplanned server failures, protecting transaction flows and maintaining continuous loan disbursements.
The implementation of partitioning and a structured archiving policy allows KreditBee to manage data growth systematically, helping the NBFC adhere to financial compliance standards.
Round-the-clock remote DBA support ensures consistent database health, allowing internal teams to focus on core product development.
The Demands of Digital Lending at Scale
When a financial platform is processing tens of thousands of loan requests daily, there is no margin for database delay. For a digital lender like KreditBee, a database issue is not just a technical inconvenience—it is a direct threat to the customer journey. When a young professional applies for an instant loan, they expect a decision in minutes. Any latency or unplanned downtime translates directly into abandoned applications, lost revenue, and reduced consumer confidence.
By collaborating with Mydbops, KreditBee didn't just solve a PostgreSQL performance bottleneck; they built a resilient data foundation capable of supporting their growth into a $1.5 billion fintech unicorn. The transition from a vulnerable database setup to an optimized, high-availability, active-active PostgreSQL cluster with BDR proved that scaling up does not have to mean escalating infrastructure costs. With stabilized systems, optimized query paths, and a reliable data archival policy, KreditBee is now fully prepared to manage its ₹15,000 Crore AUM and expand its secured lending services across India.
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Whether your application is facing performance bottlenecks, rising infrastructure bills, or high-availability risks, Mydbops provides the technical oversight and architectural expertise needed to support your enterprise database systems. Let us help you optimize your databases for scale, reliability, and cost efficiency.
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