LinkedIn Real-Time Architecture: How Does LinkedIn Identify Its Users Online?
This write-up is an insight into LinkedIn’s Real-Time Platform Architecture. I talk about how does LinkedIn identify its users online? How does it know when a user on its platform is online or has gone offline? How does it show the online status of our…
Facebook Database [Updated] – A Thorough Insight Into The Databases Used @Facebook
This write-up is a comprehensive insight into the persistence layer of Facebook and the first of the distributed systems write-ups. It takes a deep dive into questions like what database does Facebook use? Is it a NoSQL or a SQL DB? Is it just one or…
What is Data Ingestion? How to Pick the Right Data Ingestion Tool?
This article is a comprehensive write-up on data ingestion. It will answer all your queries such as What is data ingestion? What are the present challenges organizations are facing ingesting the data in real-time, batches? How to pick the right data ingestion tool? I also…
> 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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- Web Application Architecture Explained With Designing a Real-World Service
- Wide-column, Column-oriented and Column Family Databases – A Deep Dive with Bigtable and Cassandra
- Design For Scale and High Availability – What Does 100 Million Users On A Google Service Mean?
- How Razorpay handled significant transaction bursts during events like IPL
- Facebook’s Photo Storage Architecture