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NBCUniversal Accelerates Insights with Diamanti and Splunk
技术
- 基础设施即服务 (IaaS) - 云计算
- 平台即服务 (PaaS) - 数据管理平台
适用功能
- 产品研发
用例
- 预测性维护
服务
- 系统集成
挑战
NBCUniversal (NBCU) is an international film and TV studio and distributor. To support the growing consumer shift to digital and mobile consumption of media and entertainment, NBCUniversal knew they needed to have better insight into their software development process and bring developers and operators closer together. They leveraged Splunk to deliver better insights on their internal processes, but soon ran into limitations on their architecture. NBCU’s Splunk application was a critical tool for their DevOps efforts, but their existing environment was underperforming – it was limited in its architecture to ingest 1 TB per day. Like many organizations, their data sets were constantly growing. 1 TB/day wasn’t enough — they wrestled with a huge backlog of unprocessed data and had lost the ability to drive actions in real time. The limits of their physical infrastructure and deployment methods were limiting scale.
关于客户
NBCUniversal (NBCU) is an international film and TV studio and distributor. The company is headquartered in New York, New York and operates in the Media & Entertainment industry. In 2019, NBCU reported a revenue of $33.9 billion. The company is experiencing a growing consumer shift to digital and mobile consumption of media and entertainment. To support this shift, NBCU is seeking to gain better insight into their software development process and bring developers and operators closer together. The company is leveraging Splunk to deliver better insights on their internal processes.
解决方案
NBCU deployed a 32-node Diamanti cluster with a total usable capacity of 200 TB, and used the bare-metal platform to run Splunk. The Diamanti platform offered much greater performance per node than the previous platform. By removing hypervisors and other unnecessary layers of abstraction, the Diamanti platform — capable of delivering 1,000,000 IOPS per 1U node — delivered exceptional Splunk performance without expensive, complicated, and inflexible overprovisioning.
运营影响
数量效益
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