This video covers how flipkart scaled their reviews and ratings backend using Aerospike, Redis and MySQL.
Join this channel by contributing to the community:
/ @techprimers
📌 Related Links
=============
🔗 Flipkart blog RnR Arch part 1: blog.flipkart.tech/ratings-re...
🔗 Flipkart blog RnR Arch part 2: blog.flipkart.tech/ratings-re...
🔗 Aerospike: aerospike.com/
🔗 Previous Video: • Flash Sale System Desi...
📌 Related Playlist
================
🔗 System Design Primer Playlist - • CAP Theorem | Trade of...
🔗Spring Boot Primer - • Spring Boot Primer
🔗Spring Cloud Primer - • Spring Cloud Primer
🔗Spring Microservices Primer - • Spring Microservices P...
🔗Spring JPA Primer - • Spring JPA Primer
🔗Java 8 Streams - • Java 8 Streams
🔗Spring Security Primer - • Spring Security Primer
💪 Join TechPrimers Slack Community: bit.ly/JoinTechPrimers
📟 Telegram: t.me/TechPrimers
🧮 TechPrimer HindSight (Blog): / techprimers
☁️ Website: techprimers.com
💪 Slack Community: techprimers.slack.com
🐦 Twitter: / techprimers
📱 Facebook: TechPrimers
💻 GitHub: github.com/TechPrimers or techprimers.github.io/
🎬 Video Editing: FCP
---------------------------------------------------------------
🔥 Disclaimer/Policy:
The content/views/opinions posted here are solely mine and the code samples created by me are open sourced.
You are free to use the code samples in Github after forking and you can modify it for your own use.
All the videos posted here are copyrighted. You cannot re-distribute videos on this channel in other channels or platforms.
#TechPrimers
2 июл 2024
