Case Study: Computerlogy achieves zero downtime, up to 30% cost savings and machine‑learning‑powered social media analytics with Google Cloud Platform

A Google Cloud Platform Case Study

Preview of the Computerlogy Case Study

Computerlogy Providing end-to-end social data analysis and visualization with Google Cloud

Computerlogy is a Thailand-based big‑data analytics and social media monitoring company (founded in 2009) that helps corporate clients track and protect their online reputations with its SocialEnable product. The company needed to reduce operating costs and system administration, eliminate downtime, scale to process large data volumes, speed time‑to‑market and adopt machine learning while expanding monitoring into new markets like China.

To meet those goals Computerlogy migrated SocialEnable to Google Cloud Platform, using Google Kubernetes Engine, Compute Engine, App Engine and Elasticsearch to run a microservices architecture and access TensorFlow-based ML tools. Since the move it has had zero downtime, cut compute costs by up to 30% initially, operates the environment with just two DevOps engineers, delivers zero‑downtime feature releases and is rolling out AI-powered analytics and broader geographic monitoring.


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Computerlogy

Vachara Aemavat

Co-Founder and Chief Executive Officer


Google Cloud Platform

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