Case Study: Lightricks achieves scalable data and machine learning operations with Google Cloud Platform

Lightricks Creating and scaling state-of-the-art content creation tools with Google Cloud

Lightricks, a creator-focused company with a small engineering and DevOps team, needed a way to scale its infrastructure and machine learning workloads without hurting user experience. With Google Cloud Platform, using services like Google Kubernetes Engine, BigQuery, and Dataflow, the company moved away from an overloaded system that lacked separation between storage and compute and struggled during critical moments like fundraising and holiday traffic.

Google Cloud Platform implemented a more reliable, scalable environment that let Lightricks ingest billions of events per week and quickly spin up Kubernetes clusters for development and ML work. The results included smoother compute availability, less time spent on infrastructure maintenance, and faster deployment cycles; the team could set up clusters in days, and the platform helped reduce friction so developers could focus on business value instead of operations.

Lightricks

Yaron Inger

Chief Technology Officer and Co-founder