Computerlogy: turning to Google Cloud Platform to deliver machine learning-powered social media analytics

About Computerlogy

Founded in 2009 and headquartered in Thailand, Computerlogy provides big data analytics and social media monitoring for corporate clients.

Industries: Technology
Location: Thailand

Using Google Cloud Platform has enabled Computerlogy to start integrating artificial intelligence into its products and expand its monitoring into countries like China.

Google Cloud Platform Results

  • Experienced no downtime since moving to GCP
  • Reduced costs initially by up to 30%
  • Gained access to advanced cloud platform capabilities

No downtime since moving to GCP

Founded in 2009 and headquartered in Thailand, Computerlogy provides big data analytics and social media monitoring for corporate clients. A business of Yello Digital Marketing, Computerlogy aims to help companies scrutinise and protect their reputations online. The organisation also enables companies to collect and aggregate data from a range of sources to develop market research, understand customer insights and plan marketing strategies. Established in 2011, the business has grown from six employees initially to a 60-strong workforce. During this phase, Computerlogy has retained its technical focus with 45 of its employees being developers.

Computerlogy started operations by running its SocialEnable social media monitoring and analytics software in an incumbent public cloud infrastructure. However, the business wanted to fully exploit the capabilities of the cloud to reduce its operating expenditure, minimise downtime and scale to accommodate large volumes of data.

“We wanted to lower the time and cost of system administration while launching our software quickly into the market,” says Computerlogy Co-Founder and Chief Executive Officer, Vachara Aemavat.

In the longer-term, Computerlogy wanted to embrace the potential of machine learning to provide more insightful and relevant social media analytics to its customers.

Aemavat and his team reviewed their options and decided to deploy an upgraded version of SocialEnable on Google Cloud Platform (GCP). “We opted for Google Cloud Platform because ultimately we wanted to access products powered by the TensorFlow open source software library for machine learning,” Aemavat says.

“We believed that Google Cloud Platform had more of a future based on the efficiencies being delivered and in the role Google was playing in democratising access to artificial intelligence.”

Vachara Aemavat, Co-Founder and Chief Executive Officer, Computerlogy

“The Kubernetes container orchestrator technology that powers Google Kubernetes Engine is another important factor we considered in our move to Google Cloud Platform, as we knew the product would enable us to optimise the way we managed our resources,” Aemavat says.

Google Compute Engine provides scalable virtual machines while Google App Engine abstracts the SocialEnable 4.0 infrastructure to enable its developers to focus almost exclusively on code. The business has deployed Elasticsearch on GCP to operate as a scalable, distributed engine to search for relevant data from Facebook and other social media services.

Computerlogy has not experienced any downtime since moving to GCP and is extremely pleased with the platform. “Google Compute Platform is convenient, fast and has worked really well for us,” Aemavat says. “We were also able to avoid investing scarce capital upfront, which is important for a start-up, and were not locked in to using any particular products or services.”

A proof of concept found the cost of compute had fallen initially by up to 30% since the move, and the business expected this to fall further as it further enhanced its use of GCP.

Computerlogy has built features quickly using Google Kubernetes Engine and kept costs low by only using two DevOps team members to run a GCP environment that supports large data volumes.

“Furthermore, we can deliver new features with zero downtime through Kubernetes and our microservices architecture,” Aemavat says.

The business is now working to enhance its services by integrating artificial intelligence into its products and to broaden its capabilities to monitor social media in countries such as China. “We are extremely pleased with the functionality, support and services delivered by Google, and plan to continue using Google Cloud Platform well into the future to access new markets and provide more intelligent products,” Aemavat says.

About Computerlogy

Founded in 2009 and headquartered in Thailand, Computerlogy provides big data analytics and social media monitoring for corporate clients.

Industries: Technology
Location: Thailand
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