Platform

Internal platforms, frameworks, SDKs and tooling.

663 stories

Freddy AI Insights : Tech Behind the Scenes
Freshworks

“How we architected an AI system with async + spark distribution to mine millions of data points for patterns in under an hour.” by Sriharan Manogaran, Rahul Misra, Anand Chiddarwar Introduction As businesses grow, so does the amount of data they generate. Every click, purchase,…

How Preview Environments Transformed Frontend Delivery at Freshworks Analytics
Freshworks

“If you can test it before you merge it, you can trust it when you ship it.” by Arvindan Frontend teams typically are efficient if they handle PR in different manners. Classical PR reviews slow down when reviewers can’t open the change in the browser and try it like an end user.…

How to code better with AI
Freshworks

by Anush Arvind Incorporating AI into the software development lifecycle has transformed how high quality applications are built and shipped. What once took weeks of iteration, debugging, and context switching can now be achieved in hours, with AI assisting in design, coding,…

Modularizing SOLR Query Creation for Multi-Market Scale
Walmart Global Tech

Introduction When the SOLR query logic expanded into a 12,000-line monolithic implementation, each modification introduced significant risk, making every change feel akin to defusing a critical system. Adding a market-specific override required yet another if block, compounding…

From Noise to Insight: How LLMs Are Transforming Threat Intelligence Analysis
Flipkart

A Story from the Frontlines of Threat Intelligence The identification of cyber threats in e-commerce is challenging because discussions on topics like gift cards and discounts, when found on underground forums, can signal fraud yet closely resemble normal customer behavior. For…

blog.flipkart.tech
White Paper on Data Science Technical Program Management
Walmart Global Tech

1. Abstract Managing Data Science programs requires a structured approach to handle the complexities of data, model development, and business alignment. This whitepaper provides a comprehensive guide on the effective program management of Data Science programs by technical…

Plugging Node.js Memory Leaks: Optimisation Insights
Flipkart

Brand Self Serve (BSS) is a core web application within Flipkart(https://advertising.flipkart.com/), designed for advertisers (Brands and Sellers) to create and manage advertisements in multiple formats. These ads are strategically placed on designated slots across flipkart.com…

blog.flipkart.tech
Re-architecting Flipkart’s Rate Card Engine: The Journey to Building a High-Scale, Generic Rate…
Flipkart

Re-architecting Flipkart’s Rate Card Engine: The Journey to Building a High-Scale, Generic Rate Card Platform Introduction In the hyper-competitive world of e-commerce every cent matters. How marketplace fees are calculated, charged and displayed to millions of sellers at…

blog.flipkart.tech
Gen AI Video — Building Scalable Validation Framework
JioHotstar

Gen AI Video — Building A Scalable Validation Framework We discuss building strong eval frameworks as part of our Generative AI studio to ensure that generated video maintains a high quality bar.Introduction As JioHotstar scales to serve one of the world’s largest streaming…

High-Risk, High-Scale: Guaranteeing Ad Budget Precision at 1 Million Events/Second
Flipkart

Flipkart serves thousands of sponsored ads across various pages and with search queries. Advertisers are charged based on the impression views or clicks generated by their campaign content. In the high-velocity domain of AdTech, the latency between an ad impression/click and a…

blog.flipkart.tech
Keeping Java as the Core, Python to Lead Agentic Systems
Walmart Global Tech

We’ve been a Java shop for years, and now agentic AI demands us to rethink. How I got here? I’ve been in the Java world for more than 30 years. Java has been my default answer to “what should we build this in?” for most of my career. I’ve seen it grow from applets and early web…

Triksha - Securing AI with AI at Flipkart
Flipkart

Triksha — Securing AI with AI at Flipkart TL;DR GenAI apps introduce a new attack surface where prompts become the primary vector of exploitation, making generic application security ineffective for real-world, fine-tuned LLMs like e-commerce support bots. Triksha, Flipkart’s…

blog.flipkart.tech
Wiz Zero Critical Club!
Postman

Postman has joined Wiz’s Zero Critical Club, “a prestigious group of Wiz customers who have achieved the extraordinary feat of having zero...

APACHE SPARK OPTIMISATIONS
Flipkart

Context Ambitious goal and the scope of the problem We were chasing a critical, futuristic business requirement for our big data pipelines achieving “1-day planning,” defined as a total execution window of 24 hours or less. The entire process is extensive, processing a 7TB data…

blog.flipkart.tech
Beyond the Context Window: A New Approach to Summarizing Big Data
Flipkart

Image Source: Google Nano BananaTL;DR LLMs struggle to summarize the thousands of reviews for a single product because of context window limits and conflicting opinions. The proposed solution, XL-OPSUMM, is a scalable framework that summarizes reviews incrementally (in chunks)…

blog.flipkart.tech
Revealing the Hidden Links: How We Break Down Complex Fraud Networks
Meesho

The Rising Tide of E-commerce Fraud We are deeply aligned with our aim to democratize our platform—with new entrepreneurs joining and logistics partners working across pin codes in India. This inclusivity is our biggest strength—and also the reason why we need to be extra…

Scaling Deployments at Meesho: How We Built a Custom Rollout Service to Replace Our Existing System
Meesho

Introduction: The Need for Bulletproof Deployments at Scale As our platform scaled and user expectations rose, so did the need for rock-solid infrastructure. One critical challenge surfaced: ensuring zero-downtime deployments while rolling out new features at speed. Despite…

PubSub at Scale: PhonePe’s “Bullhorn”
PhonePe

Problem Statement PhonePe, as a payments platform, has an essential feature that allows users to check all past transactions. When payments are made to businesses/merchants, users have access to a historical view of all such transactions. For peer to peer transactions, however,…

Data products, data contracts: A new model for data management in financial services
Hasura

In Part 1, we covered the data doom loop [https://hasura.io/blog/escaping-the-data-doom-loop-in-financial-services] – the cycle of complexity, inefficiency, and eroding trust in financial data that persists despite massive investments. The solution isn’t another sweeping…

Hasura: Powerful access control on MongoDB data
Hasura

Across industries – and especially in highly regulated sectors like healthcare, financial services, and government – MongoDB has been a preferred database solution for organizations handling large volumes of sensitive data that require strict compliance adherence. In such…

Seamlessly Migrating from MongoDB to PostgreSQL: Leveraging Data Platform for Scalable Success
Slice

Freaking hard Migration from MongoDB to PostgreSQL: Leveraging Data Platform for Scalable Success Introduction In today’s fast-paced digital landscape, selecting the right database technology is a crucial decision for any organisation’s success. Initially, MongoDB’s flexible…

slice-engineering.medium.com
DRS: Making high-impact & informed decisions with Dream11’s In-house Experimentation Platform!
Dream11

With millions of Indian sports fans across our Dream Sports ecosystem, it takes a highly data-driven team to understand what is required for great fan engagement and ultimately making sports better through our various brands. At Dream11 too, we have been on a constant mission to…

blog.dream11engineering.com
New observability dashboard for Hasura Cloud
Hasura

In this blog post, we’ll explore the features and limitations of the current monitoring setup, how we’re leveraging Grafana, Prometheus, and Hasura’s Data Delivery Network (DDN) to offer a more comprehensive solution, and what this means for the future of monitoring in Hasura…