1. Vashu Shivam Jun 20, 2024

    In this article, we will discuss the optimizations we did to reduce the footprints of our Elasticsearch. We optimized write throughput and reduced disk storage by leveraging query patterns and tuning indexing and doc_values for fields in elastic search.

  2. Nitish Goyal Jun 10, 2024

    In the previous article, I provided a concise overview of PhonePe’s Elasticsearch architecture and outlined the diverse strategies employed to efficiently scale our cluster in order to manage millions of writes.

  3. Nitish Goyal May 30, 2024

    Real time analytics platform at PhonePe handles more than 100 billion events a day. We store this data for approximately 30 days which is equivalent to almost 3 trillion events in the Elasticsearch cluster.

  4. Sunil Rajashekar and Mohammed Irfanulla Mar 30, 2023

    As PhonePe continues to scale, the tech that goes behind each division also needs to scale and meet the requirements of all stakeholders involved. Bullzeye addresses a few challenges faced in managing ads such as issues with scalability of reporting modules and frequency cap modules, scarce information on the code and implementation details, delayed improvements, and recurring custom development fees. To solve this, our engineering team built Bullzeye, a full fledged software stack that forms PhonePe’s digital ad ecosystem.

  5. Jay Chawda Nov 24, 2020

    Background / Problem Statement: Being a Fin-Tech organization with payments as the core offering, at PhonePe we focus on securing our network perimeter with ultra-tight security measures. However, traditional approaches of implementing / securing the edge, like the one shown below (fig. 1) has a number of limitations.   Some of the limitations of traditional… Continue reading SecurEdge: The Linearly Scalable Edge Firewall Architecture for Data Centers