公司规模
1,000+
地区
- America
国家
- United States
产品
- HPE SimpliVity Hyperconverged Infrastructure
- HPE SimpliVity 380
技术栈
- Hyperconverged technology
- vCenter
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 基础设施即服务 (IaaS) - 云计算
适用功能
- 离散制造
服务
- 系统集成
关于客户
The customer in this case study is the Town of Newington, Connecticut. As a local government entity, they are responsible for managing a variety of services and operations for their community. This includes everything from public safety and health services to infrastructure and community development. Like many government organizations, they rely heavily on technology to support their operations and deliver services to their constituents. However, managing multiple solutions and vendors was proving to be a challenge. They were in the process of a capacity purchase/upgrade of their existing infrastructure which led to an overall platform review.
挑战
The Town of Newington was facing a challenge with the management of multiple solutions and vendors. Although it was manageable, it was not ideal. They were in the process of a capacity purchase/upgrade of their existing infrastructure which led to an overall platform review. This review led them to consider HPE SimpliVity Hyperconverged Infrastructure as a potential solution to their challenges.
解决方案
The Town of Newington decided to implement HPE SimpliVity Hyperconverged Infrastructure. This technology brings all IT infrastructure and data services below the hypervisor into a single compact data center appliance. The HPE SimpliVity 380, based on the world’s best-selling server, is a compact, scalable building block that delivers server, storage, backup and DR in a 2U appliance. This solution includes built-in backup and bandwidth-efficient replication to help ensure data integrity and availability. It also offers guaranteed data efficiency, data protection, and at least 90% capacity savings with technology that improves application performance and virtually eliminates unnecessary data processing.
运营影响
数量效益
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