關於艾即思科技

艾即思科技提供多雲帳務 as a Service 解決方案,專為雲服務商與系統整合商設計。其核心平台涵蓋即時雲服務用量分析、跨雲跨帳戶帳務管理、應收付帳款處理,以及雲端資源成本優化,幫助合作夥伴以訂閱制模式加速業務創新。
該平台讓雲端經銷商與代理商能夠透過單一整合介面,跨多個雲端服務提供商管理帳務、用量分析與應收帳款。
idanbean Technology provides multi-cloud Billing-as-a-Service solutions designed for cloud service providers and system integrators. Its core platform covers real-time cloud service usage analytics, cross-cloud and cross-account billing management, accounts receivable/payable processing, and cloud resource cost optimization, helping partners accelerate business innovation through a subscription model.
The platform enables cloud resellers and distributors to manage billing, usage analytics, and receivables across multiple cloud providers from a single unified interface.
客戶挑戰
艾即思科技的多雲帳務平台每月月底需處理大量帳單運算與報表產出,原有基礎架構面臨流量尖峰時資源不足、查詢效能瓶頸,以及多租戶資料隔離不完整等問題,影響平台穩定性與客戶信任度。
idanbean Technology’s multi-cloud billing platform processes large volumes of billing calculations and report generation at the end of each month. The original infrastructure faced challenges including insufficient resources during traffic spikes, query performance bottlenecks, and incomplete multi-tenant data isolation, affecting platform stability and customer trust.
採用 AWS 前的主要挑戰
- 月底帳單運算期間流量 spike,原有架構無法自動擴展,導致系統延遲甚至服務中斷
- 帳務查詢效能不足,大量報表產出時資料庫負載過高
- 多租戶環境下各客戶帳務資料隔離機制不完善,存在資安合規風險
- 缺乏統一的成本可視化工具,自身雲端支出難以精確管控
- 維運團隊缺少 7×24 監控能力,異常事件反應時間過長
Key Challenges Before AWS Adoption
- Traffic spikes during month-end billing periods, original architecture unable to auto-scale, causing system delays or service outages
- Insufficient billing query performance, database overloaded during large report generation
- Incomplete data isolation mechanisms across tenants in the multi-tenant environment, posing security and compliance risks
- Lack of unified cost visibility tools, making it difficult to precisely control cloud spending
- Operations team lacked 7×24 monitoring capabilities, resulting in long incident response times
解決方案
AIC Managed Services 與艾即思科技團隊密切協作,針對帳務平台的高可用、彈性擴展、多租戶隔離與成本可視化需求,設計並導入以下 AWS 架構,並持續提供 MSP 管理服務。
AIC Managed Services worked closely with the idanbean Technology team to design and implement the following AWS architecture addressing the billing platform’s requirements for high availability, elastic scaling, multi-tenant isolation, and cost visibility, while providing ongoing MSP management services.
解決方案架構

成果與效益
透過 AIC 的架構設計與持續 MSP 管理,艾即思科技帳務平台在高可用性、處理效能與成本控制三個面向均取得顯著成效。
Through AIC’s architecture design and ongoing MSP management, the idanbean Technology billing platform achieved significant results in high availability, processing performance, and cost control.
月底帳務處理效能提升
Faster Month-End Processing
Month-end billing accelerated
ECS Auto Scaling + ElastiCache 快取機制,月底帳單運算時間縮短 60%,報表查詢由秒級降至毫秒級。
ECS Auto Scaling + ElastiCache caching mechanism reduced month-end billing computation time by 60%, report query response from seconds to milliseconds.

基礎設施成本降低
Infrastructure Cost Reduction
Auto Scaling 平時自動縮減資源,搭配 Reserved Instance 規劃,基礎設施成本較原架構降低 40%。
Auto Scaling automatically reduces resources during off-peak periods, combined with Reserved Instance planning, infrastructure costs reduced by 40% compared to original architecture.

高可用性與多租戶合規
High Availability and Multi-Tenant Compliance
RDS Aurora Multi-AZ 確保資料庫 99.9% 可用性;AWS Organizations 多帳號隔離架構通過內部合規審查,各租戶資料完全隔離。
RDS Aurora Multi-AZ ensures database 99.9% availability; AWS Organizations multi-account isolation architecture passed internal compliance review with complete data isolation between tenants.

未來架構強化
艾即思科技與 AIC 持續規劃下一階段的架構強化,聚焦於自動化運維、更精細的成本分攤,以及 AI 驅動的用量異常偵測。
idanbean Technology and AIC continue to plan the next phase of architecture enhancements, focusing on automated operations, more granular cost allocation, and AI-driven usage anomaly detection.
計畫改進項目
- 導入 AWS Lambda 處理帳務事件驅動工作流,進一步降低閒置資源成本
- 建立 CI/CD pipeline(CodePipeline + CodeDeploy)自動化部署流程
- 透過 AWS Cost Allocation Tags 實現每租戶精細成本分攤報表
- 引入 Amazon QuickSight 提供帳務數據視覺化儀表板給終端客戶
- 執行 AWS Well-Architected Framework Review (WAFR) — Reliability & Cost Optimization 支柱
Planned Improvements
- Introduce AWS Lambda for event-driven billing workflows, further reducing idle resource costs
- Establish CI/CD pipeline (CodePipeline + CodeDeploy) for automated deployment process
- Implement per-tenant granular cost allocation reports through AWS Cost Allocation Tags
- Introduce Amazon QuickSight to provide billing data visualization dashboards for end customers
- Conduct AWS Well-Architected Framework Review (WAFR) — Reliability & Cost Optimization Pillars



