CAST AI Expands to APAC Working with One of India’s Largest GCP Consumers

CAST AI expands to APAC supporting India’s largest homegrown social media company to save money and improve performance in less than a quarter. As one of the largest consumers of Google Cloud in the region, ShareChat looks to further scale and optimize its Kubernetes infrastructure.

With more than 400 million monthly active users consuming content in multiple languages and formats, ShareChat (Mohalla Tech) is the largest Indian social media company in the region with brands such as Moj and ShareChat App under its portfolio. Its explosion in popularity enabled the company to become India’s fastest-growing unicorn, and reach  a valuation of $5 billion. 

Running over 90% of its infrastructure on Kubernetes, the company looked for ways to optimize its massive deployment, streamline autoscaling capabilities, and improve resource usage. Since ShareChat workloads are burstable and demand changes dynamically, using committed resources such as Reserved Instances was inefficient. Committing to a set level of capacity is not cost-efficient for businesses with shorter cycles where demand changes by orders of magnitude throughout a single day. The ability to solve this problem is what attracted ShareChat to CAST AI.

ShareChat is already witnessing significant savings and is expected to achieve more than a million in annual savings in cloud bills thanks to rebalancing, which helps to quickly optimize clusters by replacing suboptimal nodes and moving the workloads automatically. 

In addition, the company has solved the challenge of node pool scaling by providing dynamic and flexible node provisioning. Using CAST AI, ShareChat can easily choose the percentage of nodes running on on-demand or spot instances, depending on the workload type. 

“We don’t have to spend time worrying about Kubernetes node pools and underlying resources anymore since we moved to CAST AI. The cluster scales up and down with the right optimized configuration when needed, ultimately helping ShareChat reduce costs in our Kubernetes infrastructure”, commented Jenson C S, Engineering Manager at ShareChat. 

Besides significant savings, CAST AI helped the company reduce manual tasks related to Kubernetes management. Thanks to automation, 24/7 support, and continual expansion of features, ShareChat engineers can now focus on more strategic assignments.

“ShareChat users create millions of posts each day, so its systems must process terabytes of data with very high levels of efficiency and speed. The sheer scale and complexity of its cloud operations demonstrate that CAST AI delivers outstanding results even in the most demanding environments. This lays a strong foundation for further exploration and building rapport with clients in the APAC region”, concluded Laurent Gil, Chief Product Officer at CAST AI.

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