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, the persistence tech used @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. What technologies…
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 needs no introduction, it’s is one of the most popular social networks…
What Is an Instance In Cloud Computing? – A Thorough Guide
This write-up is a thorough insight into the Instances on the cloud. In the cloud computing universe, you hear the term all the time. Instances spinning up based on the demand, Instances going down. I’ll cover all the frequently asked questions on it such as…
What Database Does Twitter Use? – A Deep Dive
This write-up is a deep insight into the persistence layer of Twitter. It does answer all our questions about it in-depth such as What database does it use? Is it SQL, NoSQL, a polyglot persistent system? How does it store hundreds of millions of tweets…
A Super Helpful Guide to Understanding Workload & It’s Types in Cloud
This write-up is an in-depth insight into workloads. What are they? What does a workload really mean in the cloud computing universe? How are they classified? How many types of workloads are there? This article answers all your questions on it in detail, it walks…
> Spotify Engineering: From Live to Recording
> Ingesting LIVE video streams at a global scale at Twitch
> $64,944 spent on AWS, to support 25,000 customers, in August by ConvertKit.
> Read how Storytel engineering computes customer consumption of books transitioning from batch processing to streaming bookmarks data with Apache Beam and Google Cloud.
> How Pokemon Go scales to millions of requests per second?
> Insight into how Grab built a high-performance ad server.
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