We define multi-region zookeeper as a deployment where voting members of the cluster are spread across more than one region.
To scale our Serviceability system, we explored reducing the data size, remodeling to graph storage & other strategies.
At Flipkart, over a billion recommendations are served to users every day. These recommendations help millions of users discover products…
Our aim is to personalise auto-suggestions for every user and not rely on pre-defined cohorts.
AutoQC platform enables building pipelines of high-performing models that understands & quality checks product images at scale.
We introduced the ‘Discover More’ feature just below the auto-suggestions list, which displays personalized queries.
Flipkart’s frontend teams are sharing their learnings as they take first steps to move to docker & kubernetes.
In this article, we attempt to explain the rationale behind our choice of React-Native, briefly describe the onboarding challenges.
Solving search for customers who are more familiar with regional language and dialects than English and are new to typing as well.
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