Retail Success Requires Back-Office Performance and Agility
公司规模
1,000+
地区
- America
- Asia
国家
- India
- United States
产品
- Hazelcast IMDG Enterprise
- Hazelcast Cloud Enterprise
- Apache Kafka
- IBM MQ
技术栈
- Hazelcast
- Apache Kafka
- IBM MQ
- Microservices Architecture
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Digital Expertise
- Productivity Improvements
技术
- 分析与建模 - 实时分析
- 应用基础设施与中间件 - 数据交换与集成
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 零售
适用功能
- 商业运营
- 质量保证
用例
- 预测性维护
- 过程控制与优化
服务
- 云规划/设计/实施服务
- 软件设计与工程服务
- 系统集成
关于客户
The customer is a leading global retailer with a significant presence in both brick-and-mortar and e-commerce models. The company generates billions of dollars in revenue and serves hundreds of millions of customers worldwide. It has a massive, distributed IT team, including a platform team of nearly 150 technical professionals based in the United States and India. This team is responsible for creating and maintaining centralized middleware solutions for systems integration, supporting various back-office functions such as HR, real estate, and financial data. The retailer is known for its innovative and agile approach to technology, constantly exploring new open source solutions to enhance its operations.
挑战
A leading retailer faced the challenge of managing and integrating vast amounts of data generated from its global operations. With billions in annual revenue translating to thousands of dollars per second, the need for efficient data tracking, maintenance, and analysis was critical. The platform team aimed to build a centralized cache-as-a-service to streamline data integration across various systems, reducing redundancy and overhead. Without this centralized service, standing up new applications would take months, which was unacceptable for a high-load business processing millions of transactions per month.
解决方案
The retailer chose Hazelcast's open source version for its distributed cache-as-a-service due to its ease of use, community support, and documentation. After a successful six-month pilot, they migrated to Hazelcast IMDG Enterprise for enhanced security and disaster recovery features. The solution involved integrating Apache Kafka and IBM MQ as messaging layers feeding data into the Hazelcast cluster. The platform team built APIs to replace batch jobs, enabling a microservices-based architecture for agile development. Hazelcast IMDG provided a low-latency data plane, with the cluster replicated across multiple data centers for resiliency. The microservices were exposed through an API gateway, allowing robust services composed of fine-grained microservices.
运营影响
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