As we scale systems, it's essential to realize the impact of all the components in our systems and how they interact. For example, load balancers usually come into play once we scale beyond one server being able to serve requests reliably.
Notes on Distributed Systems
The Twelve-Factor App methodology is a methodology for building software-as-a-service applications by Adam Wiggins. We cover how they have since evolved, and what we can learn from them today and how they changed the status quo of yesteryear.
As you venture into more complicated architecture setups, there are a few things engineers sometimes don't understand when setting up consensus-based systems. Understanding quorums and fault tolerance are critical in understanding such systems.
There are many discussions about which level of system granulation is the best. We went from monoliths to microservices and back again.
A deep technical dive into all things Redis. Covering various Redis topologies, data persistence and process forking.
Fallacies of distributed systems are a set of assertions made by L Peter Deutsch and others at Sun Microsystems describing false assumptions that programmers new to distributed applications invariably make.