What challenges did KLab face before AI implementation?

Rising annual operational costs. Need to handle massive concurrent users with high scalability and reliability. High dependency on the existing environment created migration risk and required careful technical verification.

What was the impact of the AI solution?

Reduced unnecessary cloud spending and freed budget for strategic activities. Handled massive concurrent users with consistent low-latency performance during peak traffic. Migrated core workloads with minimal modifications while reducing technical overhead via automated monitoring and resource management.

Source

AlibabaProductionEvidence: Medium55/100

KLab: AI-powered Cloud Governance Center to reduce game infrastructure costs and scale for peak concurrent users

Use case typeCloud migrationUpdated Jul 21, 2026

KLab China migrated its gaming production environment to Alibaba Cloud US (Virginia) to support massive concurrent users with high scalability, low latency, and reliability. The company used Alibaba Cloud Cloud Governance Center for AI-driven cost analysis and governance in a multi-account environment while also deploying ECS, ACK, ALB, GA, OSS, ApsaraDB RDS for PostgreSQL, Tair, and Alibaba Cloud CDN.

Organization: KLab
Industry: Other
Location: China
Published: July 2026

Reported outcomes

Strategic outcomes

Cost efficiencyReduced unnecessary cloud spendingScale & capacityHandled massive concurrent users with stable low-latency performanceCost efficiencyReduced technical overhead during migration

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

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

Rising annual operational costs

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Cloud migration
2Cost governance
3Operations optimization

Rising annual operational costs.
Need to handle massive concurrent users with high scalability and reliability.
High dependency on the existing environment created migration risk and required careful technical verification.

Migrated the production environment to Alibaba Cloud with minimal modifications.
Used Global Accelerator, Application Load Balancer, ECS-based routing, ACK microservices, ApsaraDB RDS for PostgreSQL, Tair caching, OSS storage, and Alibaba Cloud CDN.
Applied AI-powered Cloud Governance Center for real-time cloud cost visibility and optimization in a multi-account setup.

Technologies

Alibaba Cloud Cloud Governance Center Alibaba Cloud Elastic Compute Service Alibaba Cloud Container Service for Kubernetes (ACK)Alibaba Cloud Application Load Balancer Alibaba Cloud Global Accelerator Alibaba Cloud Object Storage Service (OSS)Alibaba Cloud ApsaraDB RDS for PostgreSQL Alibaba Cloud Tair (Redis OSS-Compatible)Alibaba Cloud CDN

Reduced unnecessary cloud spending and freed budget for strategic activities.
Handled massive concurrent users with consistent low-latency performance during peak traffic.
Migrated core workloads with minimal modifications while reducing technical overhead via automated monitoring and resource management.

Architecture

The production environment is deployed on Alibaba Cloud in the US (Virginia) region. Global Accelerator receives user traffic at the edge with low latency. Application Load Balancer manages HTTPS termination and path-based routing. An HAProxy layer on ECS handles detailed routing and circuit breaker control, distributing traffic to microservices running on Container Service for Kubernetes. Persistent data is stored in ApsaraDB RDS for PostgreSQL Serverless and Tair is used as the caching layer. Static content is stored in Object Storage Service and delivered worldwide via Alibaba Cloud CDN. Cloud Governance Center is used in a multi-account environment to visualize and optimize cloud costs in real time.

Sources & evidence1

Evidence: Medium55/100Evidence strength