Inside Flipkart Tech Stack And Infrastructure

Flipkart is a behemoth within the aggressive world of on-line procuring, having dominated the Indian market with its cutting-edge choices and unyielding pursuit of excellence. The corporate’s outstanding ascent could also be immediately attributed to its technological prowess, which facilities on Flipkart tech stack and cloud structure.

The fast progress and revolutionary nature of Flipkart are explored on this essay, which digs into the advanced net of applied sciences utilized by the corporate. We’ll check out all the things from revolutionary expertise to key alliances which have helped propel Flipkart to the forefront of the e-commerce market and are fueling the corporate’s drive for international supremacy.

Frontend applied sciences of Flipkart Tech Stack

Flipkart makes use of a spread of frontend applied sciences to ship a seamless and fascinating person expertise. A few of the key frontend applied sciences in Flipkart tech stack are:

React-Native: Flipkart makes use of React-Native for constructing its cellular apps throughout Android, iOS, and mWeb platforms. React-Native permits the event of apps for all cellular platforms with out important efficiency impression, unrestricted parallel utilization of customized native parts, and the power to ship JavaScript code over-the-air (OTA).

Proteus: To beat challenges in cellular app improvement, Flipkart constructed Proteus, a structure parser for Android. This expertise allows the corporate to replace layouts OTA and add knowledge bindings on the layouts, leading to sooner experiments and bug fixes.

Viewport Meta: As a part of its web site tech stack, Flipkart makes use of Viewport Meta to make sure that its web site is responsive and adapts to numerous display sizes and resolutions. This expertise optimizes the person expertise throughout completely different gadgets, equivalent to smartphones, tablets, and desktops.

Apple Cell Net App Succesful: Flipkart tech stack additionally employs the Apple Cell Net App Succesful expertise, which permits customers so as to add the Flipkart web site to their residence display on iOS gadgets and entry it like a local app. This function gives a extra handy and app-like expertise for iOS customers.

Backend applied sciences of Flipkart Tech Stack

The backend of Flipkart tech stack is designed to help its huge scale and deal with the complexities of an e-commerce platform. Some key backend applied sciences utilized by Flipkart embody:

Nginx: Nginx is a light-weight open-source net server that effectively handles excessive visitors hundreds and optimizes server efficiency. It serves because the spine of Flipkart’s net infrastructure, enabling the platform to handle a number of person connections seamlessly.

Kafka: As part of its messaging queue system, Flipkart makes use of Apache Kafka, a distributed streaming platform, to deal with real-time knowledge feeds and guarantee easy communication between completely different parts of its tech stack. Kafka allows environment friendly knowledge processing, making certain a dependable and quick expertise for Flipkart customers.

Dropwizard: Dropwizard is a Java-based framework that simplifies the event of high-performance RESTful net companies. It helps Flipkart construct scalable and environment friendly backend companies whereas lowering the time and complexity concerned within the improvement course of.

Hadoop Distributed File System (HDFS): To handle and retailer the huge quantity of information generated by its platform, Flipkart makes use of HDFS, a distributed file system designed to deal with giant knowledge units and supply excessive throughput entry. This enables Flipkart to successfully analyze knowledge and generate insights that enhance the person expertise.

Quartz: Quartz is an open-source job scheduling library for Java functions. It helps Flipkart handle and schedule numerous duties throughout its platform, making certain that processes run easily, and sources are utilized effectively.

Azkaban: To orchestrate and handle advanced workflows, Flipkart makes use of Azkaban, an open-source workflow supervisor developed by LinkedIn. Azkaban allows Flipkart to automate and coordinate numerous duties, bettering the general effectivity of its backend operations.

Hive: As part of its knowledge warehousing answer, Flipkart makes use of Apache Hive, a knowledge warehouse software program that facilitates querying and managing giant datasets saved in HDFS. Hive allows Flipkart to course of and analyze knowledge extra successfully, driving knowledgeable decision-making and enhancing its platform’s efficiency.

Learn extra: Enhancing Person Expertise on Multivendor Market Platforms

Infrastructure applied sciences of Flipkart Tech Stack

Amazon Net Providers (AWS): Flipkart makes use of AWS for a wide range of cloud-based companies, together with compute, storage, and database options. AWS gives a scalable, dependable, and safe infrastructure that helps Flipkart handle its high-traffic web site effectively.

Microsoft Azure: Azure is one other cloud platform utilized by Flipkart, offering a spread of companies equivalent to digital machines, storage, and databases. Through the use of Azure, Flipkart can deploy, handle, and monitor its functions and companies throughout a worldwide community of information facilities.

Google Cloud Platform (GCP): Along with AWS and Azure, Flipkart additionally leverages some companies of the Google Cloud Platform. GCP presents numerous companies like Google Kubernetes Engine for container orchestration, BigQuery for big scale knowledge analytics, and Cloud Spanner for globally distributed and highly-scalable databases.

OpenStack: OpenStack is an open-source cloud computing platform that powers Flipkart’s non-public cloud infrastructure. It gives them with the flexibleness to construct and handle their very own cloud setting for sure functions, making certain efficiency and price optimization.

Docker: Docker is a containerization platform permitting Flipkart to bundle functions and their dependencies into containers. This permits builders to construct, take a look at, and deploy functions persistently throughout completely different environments, streamlining the event course of and bettering scalability.

Kubernetes: Kubernetes is a container orchestration platform that automates the deployment, scaling, and administration of containerized functions. Flipkart makes use of Kubernetes to handle their Docker containers, making certain environment friendly useful resource utilization and seamless scaling throughout peak visitors durations.


Flipkart tech stack and cloud infrastructure have performed an instrumental function in its meteoric rise as a dominant e-commerce platform in India. By leveraging cutting-edge backend applied sciences equivalent to Nginx, Kafka, Dropwizard, HDFS, Quartz, Azkaban, and Hive, Flipkart has managed to create a seamless and environment friendly procuring expertise for tens of millions of shoppers. This tech-driven method has enabled them to deal with huge scale, securely retailer and course of monumental quantities of information, and guarantee excessive efficiency and reliability.

Furthermore, Flipkart’s dedication to innovation extends to its cloud infrastructure, the place the corporate has invested in scalable and versatile options to help their ever-growing wants. This give attention to expertise and infrastructure has helped Flipkart keep forward of the curve and adapt to the dynamic panorama of e-commerce.

As Flipkart continues to increase its horizons and discover new markets, the corporate’s tech stack and cloud infrastructure will undoubtedly stay the spine of its success. By embracing rising applied sciences and consistently striving for enchancment, Flipkart units a shining instance for different e-commerce platforms and tech corporations worldwide. It’s a testomony to the ability of expertise in remodeling industries and shaping the way forward for commerce.

how flipkart tech stack works

Leave a Reply

Your email address will not be published. Required fields are marked *