Hepsiburada Success Story:

Auto-Scalable Elasticsearch with Google Kubernetes Engine (GKE)

Sector: E-Commerce

Hepsiburada, with the consultancy of Global IT, chose PD-SSD drives for high I/O. For the best performance and low cost , he chose the new T2D Tau VM as the machine type. The architectural structure and load balancing features are configured appropriately.

Challenges

Hepsiburada’s search engine was running in two data centers, two active-active Elasticsearch clusters.
Because manual scaling processes are built on a fixed and non-scalable architecture, especially during campaign periods like Black Friday .
it took a lot of effort .
Elasticsearch was scaling during the campaign period, but they had to manually reduce the resource used after the campaign.

“ We have improved our automation and scaling capabilities by modernizing the structure we use on Google Cloud with next-generation container technologies. We increased our efficiency and saved money to use when needed. This efficiency has been achieved higher with the introduction of the next generation of TAU virtual machines on Google Cloud. The support and guidance of both Google and Global IT teams helped during the study. “

Kemal Erişen | Chief Information Officer

Solutions

Hepsiburada’s search engine has moved to a modern structure that can automatically scale on a multi-region Google Cloud Kubernetes cluster.
The traffic generated by the campaigns was fully managed by GKE with minimal manual intervention.
Among Google’s differentiating features for Hepsiburada is the optimal use of resources , which stands out in terms of cost optimization.

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