What challenges did JULO face before AI implementation?

Comply with Indonesian OJK regulatory requirements. Process massive data cost-effectively. Maintain 24/7 reliability without downtime. Establish infrastructure quickly with limited resources.

What was the impact of the AI solution?

Supported JULO's total loans, borrowers, and active borrowers while enabling scalable service delivery. Reduced manual infrastructure operations through snapshots and built-in features. Improved reliability and resilience through high-availability architecture and managed backups.

Source

AlibabaProductionEvidence: Medium55/100

JULO (PT Julo Teknologi Finansial) uses Alibaba Cloud for AI-enabled digital credit and reliable fintech infrastructure

Use case typeInfrastructure modernizationUpdated 1 day ago

JULO, an Indonesian fintech and consumer lending company, needed infrastructure that could meet regulatory requirements, process large volumes of data cost-effectively, and stay reliable around the clock. The company adopted Alibaba Cloud services to build a robust high-availability architecture with core compute, load balancing, serverless, containers, and managed databases. The setup supported JULO's digital credit services and growth while reducing the operational burden of infrastructure management.

Organization: JULO
Industry: Finance
Location: Indonesia
Published: July 2026

Reported outcomes

Strategic outcomes

Risk & complianceAligned infrastructure with OJK regulatory needsOther strategic outcomeSupported 24/7 reliable service deliveryCost efficiencyReduced infrastructure management overhead

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

Customer: JULO
Provider: Alibaba
Maturity: Production
Linked source: Alibaba Cloud Customers

The setup supported JULO's digital credit services and growth while reducing the operational burden of infrastructure management

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 2 of 2

1Infrastructure modernization
2Business process automation

Comply with Indonesian OJK regulatory requirements.
Process massive data cost-effectively.
Maintain 24/7 reliability without downtime.
Establish infrastructure quickly with limited resources.

Used Alibaba Cloud ECS as the core compute layer for applications and internal services.
Used Server Load Balancer for automatic failover and smart health checks.
Adopted Function Compute and Alibaba Cloud Container Service for Kubernetes to reduce monolithic overhead and streamline services.
Used ApsaraDB RDS for PostgreSQL and ApsaraDB for MongoDB to simplify database operations with built-in backup and recovery.

Technologies

Alibaba Cloud ECS Server Load Balancer Function Compute Alibaba Cloud Container Service for Kubernetes (ACK)ApsaraDB RDS for PostgreSQL ApsaraDB for MongoDB

Supported JULO's total loans, borrowers, and active borrowers while enabling scalable service delivery.
Reduced manual infrastructure operations through snapshots and built-in features.
Improved reliability and resilience through high-availability architecture and managed backups.

Architecture

JULO built a high-availability fintech infrastructure on Alibaba Cloud using ECS for core applications, Server Load Balancer for failover and health checks, Function Compute and Alibaba Cloud Container Service for Kubernetes for serverless/containerized services, and ApsaraDB RDS for PostgreSQL plus ApsaraDB for MongoDB for managed data persistence and backups.

Sources & evidence1

Evidence: Medium55/100Evidence strength