Case Study: Kofera achieves 1‑second visualization of 1 TB, 70% infrastructure cost reduction, and deployments cut from months to days with Google Cloud Platform

Kofera relies on GCP scalability and machine learning to deliver marketing automation services

Kofera is an Indonesian marketing‑automation startup that uses end‑to‑end machine learning to build and optimize ad campaigns for e‑commerce, agencies and SMBs. As client volumes grew, their bare‑metal platform ran out of memory and CPU capacity; trials with Hadoop and Cassandra proved too time‑consuming to manage, and the team needed faster time‑series analytics and a way to cut campaign build times from weeks to minutes.

Kofera migrated to Google Cloud Platform, using BigQuery, Bigtable, App Engine, Compute Engine, Cloud Pub/Sub and Cloud Machine Learning to run analytics, microservices and ML models. The move cut infrastructure costs by 70% (~$470k/year), reduced deployment timelines from months to days, let dashboards visualize 1 TB of data in about one second, and delivered autoscaling, minimal maintenance and a much faster customer experience.

Kofera

Bachtiar Rifai

Founder and Chief Executive Officer