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 is an Instance in Cloud Computing? – A Thorough Guide
This write-up is an insight into cloud instances. In the cloud computing universe, we hear this term all the time: instances spinning up based on the demand, instances going down and such. I’ll cover all the frequently asked questions on it such as what is...
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....
Understanding Workload and its Types in the Cloud
This write-up is an insight into cloud workloads. It addresses questions such as What are they? What does a workload mean in the cloud computing space? How are they classified? How many types of workloads are there? and so on. So, without further ado.Let’s jump...
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,...
How Evernote Migrated & Scaled their Workload with Google Cloud Platform
Evernote has over 200 million happy customers with approx. 5 billion user notes and 5 billion user-uploaded attachments. That’s over 3.5 petabytes of data. To put things into perspective, this is equivalent to roughly 10 copies of every book ever published. In the recent past,...
How to choose the right cloud provider for your application – A thorough guide
In the present startup and enterprise landscape cloud deployments is a norm. If you want to scale seamlessly, you need to be on the cloud either on public or on-prem. There are numerous reasons why a business would want to deploy its services on the...
How many developers do I need for my startup/app – A deep dive
In this write-up, we will have an in-depth discussion on how many developers we really need for our startup or to build an app. Is it just one, a couple or more than a couple? Finding out the optimum number of developers to work on...
Follow Me On Social Media