What challenges did AdaPundi face before AI implementation?

Handle the sudden surge in users and daily transactions on the online loan app during COVID-19. Ensure higher uptime, responsive scalability, low latency, and strict regulatory compliance/security.

What was the impact of the AI solution?

Improved reliability with minimal downtime. Enabled responsive scalability and a pleasant user experience while staying compliant with local regulations. Better automated processes and data-driven decision-making.

Source

AlibabaEvidence: Low40/100

AdaPundi scales loan app infrastructure on Alibaba Cloud IaaS while ensuring compliance

Use case typeInfrastructure modernizationUpdated Aug 7, 2026

AdaPundi, an Indonesia fintech online lending platform, handled a rapid surge in users and daily transactions during COVID-19 by moving its core loan application to Alibaba Cloud IaaS. The deployment used ECS, SLB, ApsaraDB RDS for PostgreSQL, ApsaraDB for Redis, OSS, and cloud log analytics/big-data capabilities to scale automatically, improve uptime, store transaction data, and remain compliant with local security and data regulations.

Organization: AdaPundi
Industry: Finance
Location: Indonesia
Published: August 2026

Reported outcomes

Strategic outcomes

Scale & capacityImproved reliability with minimal downtimeCustomer experience & trustLow-latency and more scalable serviceRisk & complianceCompliance with local regulationsCost efficiencyMore automated processes and data-driven decision-making

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: AdaPundi
Provider: Alibaba
Maturity: Unknown
Linked source: Alibaba Cloud customer story

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 3

1Infrastructure modernization
2Operations optimization
3Real-time analytics

Deployed the core loan application on Alibaba Cloud IaaS with ECS and SLB for elastic compute and traffic distribution.
Used ApsaraDB RDS for PostgreSQL and ApsaraDB for Redis for managed persistence and caching.
Stored daily transactions and events in OSS and leveraged log analytics plus big data capabilities for monitoring and data-driven decision-making.

Technologies

Elastic Compute Service (ECS)Server Load Balancer (SLB)ApsaraDB RDS for PostgreSQL ApsaraDB for Redis Object Storage Service (OSS)Alibaba Cloud log analytics Alibaba Cloud big data capabilities

Improved reliability with minimal downtime.
Enabled responsive scalability and a pleasant user experience while staying compliant with local regulations.
Better automated processes and data-driven decision-making.

Architecture

AdaPundi deployed its core loan application on Alibaba Cloud IaaS using Elastic Compute Service (ECS) and Server Load Balancer (SLB), with ApsaraDB RDS for PostgreSQL, ApsaraDB for Redis, Object Storage Service (OSS), and Alibaba Cloud log analytics/big-data capabilities for transaction storage, caching, monitoring, and scaling.

Sources & evidence1

Evidence: Low40/100Evidence strength