17LIVE: Enhancing Live Streaming Services with Google Cloud and AI
Technology Category
- Analytics & Modeling - Real Time Analytics
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Cement
- Education
Applicable Functions
- Logistics & Transportation
- Product Research & Development
Use Cases
- Construction Management
- Time Sensitive Networking
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
About The Customer
17LIVE is a live streaming company that was founded in Taiwan in 2015. It has since expanded its presence worldwide, offering a diverse range of content, including music, dance, comedy, gaming, V-liver, and lifestyle channels to more than 50 million registered users from 133 countries globally. The company entered the Japanese market in 2017 and within a year established a top position in the live streaming platform industry in Japan, Taiwan, Hong Kong, and other regions. Its platform provides content creators with an excellent opportunity to connect with a highly-engaged community and build a loyal fan base.
The Challenge
17LIVE, a live streaming company founded in Taiwan in 2015, has rapidly expanded its presence worldwide, offering a diverse range of content to more than 50 million registered users from 133 countries. However, as the company grew, it faced challenges in maintaining the quality of its streaming services. Initially, 17LIVE deployed its live streaming application on a public cloud platform that didn’t have a data center in Taiwan. As its business in Taiwan grew, the company realized that it needed to enhance the scalability capability of its app infrastructure and lower the network latency of its streaming services. The company also wanted to optimize its operations and the content performance on its live video streaming platform.
The Solution
In 2017, 17LIVE decided to migrate its application to Google Cloud, which supports highly automated scalability and offers better connectivity in Taiwan through a local data center. The company now uses containerized microservices in Google Kubernetes Engine (GKE) as the infrastructure backbone of its live video streaming application. The horizontal pod autoscaling (HPA) feature of GKE allows the 17LIVE team to ensure the service quality of its streaming platform by automatically scaling up microservices when the CPU usage surpasses a certain amount. The company also leverages Cloud CDN to cache static API responses and streaming content close to its users around the world, keeping content delivery time low. To improve user engagement, 17LIVE uses BigQuery to generate data insights and Vertex AI to predict potential system errors and key contributors of each live streamer on the platform.
Operational Impact
Quantitative Benefit
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