YouTube Architecture – How Does It Serve High-Quality Videos With Low Latency
I wrote an article earlier on how YouTube stores petabyte-scale data every single day without running out of storage space. Do check it out. In this one, I’ll discuss how the platform servers high-quality videos with such low latency. So, without further ado. Let’s jump...
Full list of distributed systems articles
Real-world distributed architectures What Do 100 Million Users On A Google Service Mean? – System Design for Scale and High Availability Article Link How Razorpay handled significant transaction bursts during events like IPL Article Link YouTube Architecture – How Does It Serve High-Quality Videos With...
YouTube database – How does it store so many videos without running out of storage space?
YouTube is one of the most popular websites on the planet. As of May 2019, more than 500 hours of video content is uploaded to the platform every single minute. With over 2 billion users, the video-sharing platform is generating billions of views with over...
Monzo Architecture – An Insight Into the Backend Infrastructure of a Modern Digital Bank
Monzo is a digital, mobile-only bank based in the United Kingdom. It is one of the earliest app-based digital banks in the UK. Monzo set a record for the quickest crowd-funding campaign in history raising 1 million pounds in 96 seconds via the CrowdCube investment...
An insight into how Uber scaled from a monolith to a microservice architecture
Uber started its service from San Francisco with a monolithic repo. The solo repo held the business logic for matching drivers and riders, running background checks, taking care of the billing and the payment and all the other related functionalities. As the service got popular, the...
Facebook Real-time Chat Architecture Scaling With Over Multi-Billion Messages Daily
This is my second write-up on Facebook architecture. In the first, I covered the databases leveraged by Facebook. In this write-up, I will talk about the real-time chat architecture of Facebook which scales with over multi-billion messages sent every single day. Let’s jump right into...
Twitter’s Migration to Google Cloud – An Architectural Insight
This is my second write-up on the infrastructure @Twitter. In the first, I delved into the database technologies leveraged by the social platform to store petabytes of data generated every single day. Twitter recently moved a part of their workload to the Google Cloud to...
What Database Does Twitter Use? – A Deep Dive
This write-up is an insight into the persistence layer of Twitter. It covers topics such as what database does it use? Is it SQL, NoSQL, or a polyglot persistent system? How does it store hundreds of millions of tweets sent every single day? and more....
Instagram architecture & database – How does it store & search billions of images
Instagram is the most popular photo-oriented social network on the planet today. With over a billion users, it has become the first choice for businesses to run their marketing campaigns on. This write-up is a deep dive into its platform architecture and addresses questions like...
An Insight into Bazaarvoice Scalable Architecture with Over 300 Million Visitors
This write-up is an insight into the service-oriented architecture of Bazaarvoice that they wrote from the ground up and moved their workload in parts following the divide & conquer approach from the existing monolithic architecture. The new architecture sailed them smoothly through events like Black Friday...
How Does PayPal Process Billions of Messages Per Day with Reactive Streams?
PayPal’s product performance tracking platform processes approx. 19 billion messages per day. The team leverages an Akka-based reactive framework called Squbs to handle such massive amounts of data and events concurrently with minimal latency and resource consumption. LinkedIn, as well, uses the Play framework which...
How Hotstar Scaled With 10.3 Million Concurrent Users – An Architectural Insight
In the 2019 edition of the IPL T20 cricket tournament, Hotstar received a whooping record traffic of 10.3 million concurrent users. This smashed its previous record of 8.26 million concurrent users. To my knowledge this is the most intense concurrent traffic load on any service,...
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