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Weverse reduces data management costs to drive innovation in fandom culture
Technology Category
- Analytics & Modeling - Predictive Analytics
- Application Infrastructure & Middleware - API Integration & Management
- Application Infrastructure & Middleware - Data Exchange & Integration
- Cybersecurity & Privacy - Security Compliance
Applicable Industries
- Software
Applicable Functions
- Business Operation
- Quality Assurance
Use Cases
- Predictive Maintenance
Services
- Software Design & Engineering Services
- System Integration
- Training
The Challenge
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.
About The Customer
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.
The Solution
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.
Operational Impact
Quantitative Benefit
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