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90 Seconds: Enhancing Video Production and Analysis with Google Cloud
Technology Category
- Analytics & Modeling - Machine Learning
- Sensors - Camera / Video Systems
Applicable Industries
- Education
- Equipment & Machinery
Applicable Functions
- Logistics & Transportation
- Sales & Marketing
Use Cases
- Last Mile Delivery
- Predictive Maintenance
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
The Challenge
90 Seconds, a leading video creation platform, faced challenges in scaling its operations due to rapid expansion. The company, which manages a marketplace of 12,000 video creative professionals across 70 categories in over 160 countries, was initially operating in a colocated data center in the United States. However, the rapid growth of the business led to scalability and cost issues, particularly around content delivery and storage. The company then decided to move to another cloud service. Despite receiving millions of dollars in venture capital and using new technologies to scale the business, 90 Seconds continued to face issues in supporting the growing demand for cloud video production, accelerating software development, and capturing and analyzing data from multiple services to facilitate decision making.
About The Customer
90 Seconds is a leading video creation platform founded in 2010 in New Zealand. The company manages a marketplace of 12,000 video creative professionals in more than 160 countries across 70 categories. Its technology empowers brands to plan, shoot, and edit video from anywhere in the world. 90 Seconds' 3,000-plus clients include many global enterprise brands. The company has about 160 team members worldwide, with 60 based at its headquarters in Singapore. Despite a low profile, the business is growing rapidly as multinational online services present innovative marketing and advertising opportunities and brands are keen to produce compelling video content.
The Solution
90 Seconds decided to migrate to Google Cloud Platform to address its scalability, reliability, and performance issues. The migration was completed in less than a year, with the company moving all its operations to Google Cloud Platform, except for eight years' worth of HD video which it is exploring options to move into the platform from its original colocated data center. 90 Seconds also deployed Kubernetes Engine to run its applications in containers, which provided a foundation to accelerate software development and deployment. The company used BigQuery as a warehouse for transactional, marketing, and finance data, and used visualization tools to review various indicators and make decisions to improve products, seize opportunities, and operate more efficiently. 90 Seconds also used Compute Engine to access infrastructure-as-a-service and Cloud SQL to run its relational database. The company is now evaluating the potential of machine learning through Cloud AutoML to provide deeper and more relevant analysis for brands.
Operational Impact
Quantitative Benefit
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