Case Study: Apester achieves massive scale, halved infrastructure costs, and sub-minute deployments with Google Cloud Platform

Apester Helping the world tell its stories with Google Cloud Platform

Apester builds mobile‑friendly interactive content—quizzes, polls and visual stories—for publishers, brands and bloggers. Rapid adoption (about 100 million unique users/month) exposed limits in its legacy BI and data‑warehousing stack: rising costs, scalability strain and constrained analytics that threatened growth and developer productivity.

Apester migrated to Google Cloud, using Kubernetes Engine, BigQuery, Cloud Dataflow, Cloud Pub/Sub, Stackdriver and IAM to create a fully managed, containerized platform. The move enabled true autoscaling and faster deployments, delivering 3.5 billion story experiences a year, tripling the user base, halving infrastructure costs, cutting deployments from ~4 hours to under a minute and halving latency—freeing teams to focus on product improvements and ML initiatives with Cloud Natural Language and TensorFlow.

Apester

Moshe Peretz

VP of Research and Development