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How to handle >1 billion page views a month cost effectively
技术
- 分析与建模 - 实时分析
- 基础设施即服务 (IaaS) - 云数据库
- 基础设施即服务 (IaaS) - 云存储服务
适用行业
- Software
适用功能
- 商业运营
用例
- 边缘计算与边缘智能
- 实时定位系统 (RTLS)
服务
- 云规划/设计/实施服务
- 系统集成
挑战
Spot.IM needed to re-imagine its application and infrastructure architecture to ensure minimal latency and deliver extreme responsiveness for its community engagement platform. The platform handles thousands of requests per second and processes over one billion page views a month. The challenge was to achieve this with simplicity and high performance while keeping costs low. Spot.IM's CTO, Ishay Green, aimed to build an architecture that places all services in memory, achieving incredible scale with impressive simplicity. The company projected it would get to 7 billion page views by the end of 2016, necessitating a robust and scalable solution.
关于客户
Spot.IM is an innovative company that provides a next-generation community engagement platform designed to turn website visitors into a community. The platform is used by partners such as Time Inc., Meredith, and LittleThings, generating over one billion page views per month. Spot.IM powers social conversations on leading entertainment and media websites like Entertainment Weekly and LittleThings.com. The company is known for its cutting-edge technology and inventive application platform, which is architected for blazing fast responsiveness and incredible scale. Spot.IM's platform handles thousands of requests per second and processes over one billion page views a month, making it a critical tool for its media and entertainment partners.
解决方案
Spot.IM chose Redis as its primary database due to its unparalleled performance and versatility in handling various data processing scenarios with simplicity and low latency. Redis Labs was selected to provide enterprise-grade high availability and easy noiseless scaling for Redis. This choice relieved Spot.IM of any operational effort around managing Redis, allowing the company to focus on its core business. Redis Labs delivered stable, linearly scaling high performance, enabling Spot.IM to handle 400,000 to one million user requests a day at sub-millisecond latencies. As Spot.IM scaled out its architecture, the team turned to Redis on Flash in an AWS VPC environment. This helped optimize the costs of running Spot.IM’s highly demanding application without compromising on responsiveness or performance. With Redis on Flash delivered as Redis Labs Enterprise Cluster (RLEC Flash) on AWS SSD instances, Spot.IM could maintain extremely high throughput at 70% lower costs compared to a pure RAM solution.
运营影响
数量效益
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