Google Cloud Platform Case Studies 17LIVE: Enhancing Live Streaming Services with Google Cloud and AI

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	17LIVE: Enhancing Live Streaming Services with Google Cloud and AI Google Cloud Platform

17LIVE: Enhancing Live Streaming Services with Google Cloud and AI

Google Cloud Platform

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
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

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

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.

About 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.

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.

Impact #1	The migration to Google Cloud and the use of its AI tools have significantly improved the operations of 17LIVE. The company can now ensure glitchless streaming experiences even during instant traffic surges, thanks to the autoscaling feature of GKE. The containerization technology of GKE has also enabled the team to boost its development efficiency and change its software release cycle from once every two weeks to daily. The comprehensive global network of Google Cloud has enabled 17LIVE to provide better live streaming experiences by reducing network latency. The company has also been able to improve live streaming content performance with data insights generated by BigQuery. Furthermore, the use of Vertex AI has helped in predicting potential system errors, reducing user reports complaining about system errors by 20%.

Impact #1

The migration to Google Cloud and the use of its AI tools have significantly improved the operations of 17LIVE. The company can now ensure glitchless streaming experiences even during instant traffic surges, thanks to the autoscaling feature of GKE. The containerization technology of GKE has also enabled the team to boost its development efficiency and change its software release cycle from once every two weeks to daily. The comprehensive global network of Google Cloud has enabled 17LIVE to provide better live streaming experiences by reducing network latency. The company has also been able to improve live streaming content performance with data insights generated by BigQuery. Furthermore, the use of Vertex AI has helped in predicting potential system errors, reducing user reports complaining about system errors by 20%.

Benefit #1	Reduced 40% of streaming-related issues through system error predictions powered by Vertex AI
Benefit #2	Shortened feature deployment time by 80%
Benefit #3	Reduced network latency for users in Taiwan from 300 to only 50 milliseconds

Benefit #1

Reduced 40% of streaming-related issues through system error predictions powered by Vertex AI

Benefit #2

Shortened feature deployment time by 80%

Benefit #3

Reduced network latency for users in Taiwan from 300 to only 50 milliseconds

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Overview

17LIVE: Enhancing Live Streaming Services with Google Cloud and AI

Operational Impact

Quantitative Benefit