Weverse reduces data management costs to drive innovation in fandom culture
Customer Company Size
Large Corporate
Country
- United States
Product
- Sumo Logic Continuous Intelligence Platform
- Weverse
- Weverse Shop
Tech Stack
- AWS
- Sumo Logic
- ELK (ElasticSearch, Logstash, Kibana)
- Okta
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Customer Satisfaction
- Productivity Improvements
- Digital Expertise
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
- System Integration
- Training
- Software Design & Engineering Services
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 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.
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
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Factor-y S.r.l. – Establishes a cost-effective, security-rich development environment with SoftLayer technology
Factor-y S.r.l., a web portal developer, was faced with the challenge of migrating its development infrastructure to a reliable cloud services provider with highly responsive technical support. The company needed a solution that would not only provide a secure and reliable environment but also support its expansion by providing resources to create and deliver innovative offerings.
Case Study
Darwin Ecosystem: Accelerating discovery and insight through cutting-edge big data and cognitive technologies
Darwin Ecosystem was founded with a unique vision of harnessing chaos theory mathematics to uncover previously hidden connections in unstructured data. The company’s algorithms can look at all the data generated by any source (such as news, RSS feeds and Twitter), and analyze how a specific set of concepts within that data are evolving over time. This is particularly valuable in situations such as business and competitive intelligence, social research, brand monitoring, legal discovery, risk mitigation and even law enforcement. A common problem in these areas is that a regular web search will only turn up the all-time most popular answers to a given question – but what the expert researcher is actually interested in is the moment-tomoment evolution of the data available on that topic. Darwin’s algorithm is computationally intensive, and the sources of data it correlates can be vast. To bring its benefits to a larger commercial audience, Darwin needed to find a way to make it scale.
Case Study
Zend accelerates, simplifies PHP development
Zend Technologies, a major contributor to the PHP open source community, needed to keep pace with emerging trends such as mobility, agile development, application lifecycle management and continuous delivery. The company needed to provide the right tools to the worldwide community of PHP developers. The challenge was to support enterprise-class capabilities from end to end, including mobile, compliance and security. The pace of business required developers to show results fast across a variety of devices without compromising quality or security.
Case Study
Delivering modern data protection with cloud scale backup from Cobalt Iron and IBM
Organizations are struggling to modernize their legacy data protection environments in the face of growing demands around new infrastructure, new applications, and budget consolidation. Virtualization and modern application development processes have significantly outgrown legacy backup architectures. In response, infrastructure teams have created multiple backup solution types to handle the varying SLAs (performance, scale, cost) required by their business sponsors. However, the sheer number and variety of solutions in this uncontrolled expansion creates huge amounts of work, threatening to overwhelm the IT team in many organizations. Today, developers may add new applications and virtual server instances by the hundreds per day without accounting for the restrictions of the existing backup infrastructure. They leverage the cloud for immediate compute and storage resources, yet rarely communicate succinctly with corporate IT to ensure that the appropriate data protection services are in place.
Case Study
Achieving near limitless scalability and flexibility with data in the cloud
Web-based publishing platform SpaceCraft found that as its client base grew, it was spending an increasing amount of time managing its databases, distracting its focus from product innovation. As its user base rapidly expanded, data volumes at SpaceCraft began to rise dramatically. Along with their main focus on maintaining and further developing a great platform for web publishing, the SpaceCraft team had the added pressure of managing the increasing quantities of data while ensuring ongoing high performance for clients.
Case Study
nViso SA – Delivers emotion recognition solutions worldwide with a scalable SoftLayer hosting solution
nViso SA, a company that provides emotion recognition solutions, was in need of a high-performance cloud hosting infrastructure. The company wanted to extend its services to a global customer base. The challenge was to find a solution that could handle the demands of their growing customer base and the need for high performance and reliability.
