Case Study: Tango achieves scalable, reliable live streaming and smarter monetization with Google Cloud Platform

Tango Empowering creators to succeed through live streaming

Tango, a global live-streaming and social media platform, needed a way to scale reliably as its user base grew and traffic spikes increased, while also improving how it matched creators with the right audiences. Its previous on-premises setup was difficult to scale automatically and required too much manual management. Tango chose Google Cloud Platform, including Google Kubernetes Engine and BigQuery, to support its transition to a more data-driven and scalable model.

With Google Cloud Platform, Tango moved most of its services to Google Kubernetes Engine for automatic scaling and better availability, while using Pub/Sub, BigQuery, Looker, and Cloud CDN to build a stronger data and content delivery stack. The results included more seamless livestreaming, reduced downtime, faster feature releases through A/B testing, and improved content monetization. Tango also reported that 95% of its services now run on Google Kubernetes Engine, and Google Cloud Platform continues to help it deliver content faster worldwide and cut down manual moderation tasks.

Tango

Shay Rozenbaum

Vice President of Infrastructure