Low Latency is Mission Critical to Advent Health Partners
公司规模
SME
地区
- America
国家
- United States
产品
- CAVO
- Redis Enterprise
技术栈
- In-memory database
- Cloud service
- Auto-failover
- Cross-zone/multiregion/multi-datacenter replication
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Customer Satisfaction
- Productivity Improvements
技术
- 平台即服务 (PaaS) - 数据管理平台
- 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
适用行业
- 医疗保健和医院
适用功能
- 商业运营
服务
- 云规划/设计/实施服务
- 系统集成
关于客户
Advent Health Partners is a company that provides data and image aggregation solutions to the healthcare industry. They offer a Software-as-a-Service (SaaS) application called CAVO, which aids in the decision-making process by gathering relevant data surrounding a claim to correct inefficiencies pre- or post-billing. The company is focused on reducing downtime to deliver maximum financial returns and operational insights to its clients. Advent Health Partners is a small business operating in the healthcare sector.
挑战
Advent Health Partners faced significant challenges with high latency and slow response times from other databases, which led to data loss and downtime. Additionally, they encountered difficulties in operating, scaling, and administering these databases. These issues were critical as they impacted the company's ability to deliver maximum financial returns and operational insights to its clients.
解决方案
Advent Health Partners selected Redis Enterprise to address their challenges. Redis Enterprise provided high-speed transactions, user session store, and messaging capabilities. The company utilized Redis Enterprise for its high availability, stability, and high performance. Redis Enterprise's features such as persistence, auto-failover, cross-zone/multiregion/multi-datacenter in-memory replication, and seamless scaling were crucial. Additionally, Redis Enterprise offered monitoring, automation, alerting, and dashboards, along with 24×7 support for mission-critical Redis layers. These capabilities allowed Advent Health Partners to avoid cloud vendor lock-in and ensure continuous operation.
运营影响
数量效益
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