实例探究 > Weverse reduces data management costs to drive innovation in fandom culture

Weverse reduces data management costs to drive innovation in fandom culture

公司规模
Large Corporate
国家
  • United States
产品
  • Sumo Logic Continuous Intelligence Platform
  • Weverse
  • Weverse Shop
技术栈
  • AWS
  • Sumo Logic
  • ELK (ElasticSearch, Logstash, Kibana)
  • Okta
实施规模
  • Enterprise-wide Deployment
影响指标
  • Cost Savings
  • Customer Satisfaction
  • Productivity Improvements
  • Digital Expertise
技术
  • 分析与建模 - 预测分析
  • 应用基础设施与中间件 - API 集成与管理
  • 应用基础设施与中间件 - 数据交换与集成
  • 网络安全和隐私 - 安全合规
适用行业
  • Software
适用功能
  • 商业运营
  • 质量保证
用例
  • 预测性维护
服务
  • 系统集成
  • 培训
  • 软件设计与工程服务
关于客户
Weverse Company is a global fandom platform company with a vision to innovate fandom culture through the expansion of customer experience. Launched in June 2019, Weverse and its commerce platform, Weverse Shop, provide content and services optimized for fan activities and serve as a communication channel between artists and fans. The platform has users in 238 countries and 6.4 million monthly active users (MAU). Weverse offers a place for K-pop artists to connect with fans through articles, videos, blogs, and live interactions in official fan communities. The company is recognized for its innovative approach to the music industry, with its parent company, Hive, being named one of the world's 50 most innovative companies in 2020 by Fast Company.
挑战
Weverse, a global fandom platform, faced challenges with platform silos and managing large fluctuations in traffic volume. The company needed a solution to handle explosive data growth and reduce the high costs associated with managing debug logs and operating up to 75 virtual machines. Additionally, Weverse required a more efficient and automated log management system to prevent data loss and improve service quality.
解决方案
Weverse implemented Sumo Logic to improve operational efficiency and reduce data management costs. Sumo Logic provided insights that helped Weverse accelerate platform innovation and improve service quality. The solution allowed Weverse to manage debug logs more cost-effectively and handle large fluctuations in traffic volume without data loss. Sumo Logic's segregated data storage tiers enabled easy access to cold and warm logs, eliminating the need for manual log management. Additionally, Sumo Logic's role-based access control (RBAC) and integration with cloud solutions like Okta further enhanced Weverse's operational capabilities. The platform also benefited from Sumo Logic's continuous education and technical support, which helped Weverse utilize the solution efficiently and develop custom log management solutions that met their information security needs.
运营影响
  • Reduction in log data management cost: By using Sumo Logic, Weverse achieved significant cost savings in log management, making it more reasonable and efficient.
  • Improved service quality: The cost reduction allowed Weverse to analyze more debug logs, leading to better service quality and operational efficiency.
  • Stabilization of custom log management solutions: Sumo Logic provided technical and educational support, helping Weverse develop and maintain custom log management solutions that met their information security needs.
  • Enhanced operational efficiency: Sumo Logic's role-based access control (RBAC) and integration with cloud solutions like Okta improved Weverse's operational capabilities and efficiency.
  • Continuous education and support: Sumo Logic's ongoing education and support helped Weverse utilize the solution effectively and develop innovative services.
数量效益
  • Log data, which normally ranged from 20GB to 50GB per 10 minutes, could spike to 600GB during peak times, and Sumo Logic managed this without data loss.
  • Weverse reduced the need to operate up to 75 virtual machines, significantly cutting operational costs.

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