‘Futures and Promises’ – How Instagram leverages it for better resource utilization
Futures and Promises is a concept that enables a process to execute asynchronously, improving performance and resource consumption. It can be applied in multiple contexts, such as in request-response in a web service call, long-running computations, database queries, remote procedure calls, interservice communication in distributed…
McDonald’s Event-Driven Architecture – A Gist
McDonald’s uses events across their distributed architecture for use cases such as asynchronous, transactional and analytical processing, including mobile-order progress tracking and sending marketing offers like deals and promotions to their customers. As opposed to building event streaming solutions for every individual or a set…
State of Backend #2 – Disney+ Hotstar Replaced Redis and Elasticsearch with ScyllaDB. Here’s Why.
To get the content delivered to your inbox, you can subscribe to the newsletter at the end of this post. Here is the previous issue. Disney+ Hotstar Replaced Redis and Elasticsearch with ScyllaDB to Implement the ‘Continue Watching’ Feature. Here’s Why: The continue watching feature…
State of Backend #1- Distributed Task Scheduling with Akka, Kafka and Cassandra
This is the first issue of the newsletter I’ve kickstarted for insights into the backend engineering space encircling topics like distributed systems, databases, data engineering, system design, architecture, scalability and the like, also the latest tools and technologies in the space. To get the content…
Live Video Streaming Infrastructure at Twitch
Twitch engineering developed a scalable, HA live streaming solution to enable broadcasters on their platform live stream their gameplay with minimum latency. The live streaming solution (developed by Twitch) is also made available as a Service to the world through AWS IVS (Interactive Video Streaming)…
Wide-column Database, Column Databases – A Deep Dive
Wide-column, column-oriented and column-family databases belong to the NoSQL family of databases built to store and query massive amounts of data, aka BigData. They are highly available and scalable, built to work in a distributed environment. Most of the wide-column databases do not support joins…
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