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Risk Management Solutions Inc. (RMS) Case Study
Technology Category
- Application Infrastructure & Middleware - Data Exchange & Integration
- Infrastructure as a Service (IaaS) - Cloud Computing
Applicable Industries
- Finance & Insurance
Applicable Functions
- Business Operation
Services
- System Integration
The Challenge
RMS has multiple data centers in widely distributed locations around the globe. To ensure the highest levels of availability, it was critical to find a monitoring solution that was flexible enough to support their existing systems while refining data access and analytic operations across its growing cloud-based infrastructure. Most customers were deploying the RMS software on premises for big data analytics, which required those customers to make significant infrastructure investments. To enable their large base of North American and European customers to reduce costs by running analytics on RMS infrastructure, they built data centers in London, Iceland and Toronto. Each data center was heavily populated with Cisco Unified Computing Systems (UCS) and EMC VMAX enterprise storage. RMS was also expanding its own presence into the cloud and was embracing modern software such as Docker and Apache HBase. RMS recognized that managing these advanced technologies in a hybrid IT environment would require a uniquely flexible and scalable monitoring platform.
About The Customer
Risk Management Solutions Inc. (RMS) is a leader in catastrophe risk modeling solutions for financial institutions and public agencies. The company has data centers distributed globally in London, Iceland, and Toronto. RMS's IT environment includes cloud instances, on-premises Cisco UCS, and EMC VMAX storage, and emerging technologies like Docker and HBase. The company chose Zenoss for its hybrid IT environment support, ability to customize, and capability to scale.
The Solution
The Zenoss platform capabilities aligned well with the RMS infrastructure monitoring needs, including support for both on-premises and cloud systems. Zenoss provided a highly customizable platform with remote collectors, allowing RMS to easily scale while efficiently monitoring across highly partitioned networks in real time and bringing all monitoring and event data to a common location. The automation made possible by Zenoss eliminated the error-prone process of manually editing configuration files. RMS also benefited greatly from the Zenoss platform’s ease of use and its massive library of ZenPacks to support all required systems. Another key influencer for RMS was the Zenoss implementation of advanced technologies such as Docker and HBase, which were required to attain the required level of scale. HBase will also allow RMS to easily integrate their existing analytics with the Zenoss platform in order to gain key insights through data extraction and manipulation.
Operational Impact
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