From Constraints to Communication
Part 2 of our distributed systems series explores how communication and coordination are shaped by network, node, and time constraints. Learn key strategies for building reliable and scalable systems.
Distributed Systems
All articles from the Distributed Systems Engineering Series — covering system models, network behaviour, fault tolerance, replication, consensus algorithms and scalability. A structured series written for engineers building production systems.
Time Model – Why Ordering Is Harder Than It Looks
In distributed systems, time is not shared. Ordering events requires reasoning about causality, not clocks.
Node & Failure Model – Crashes, Slow Nodes and Partial Failure
In distributed systems, nodes don’t just crash. They slow down, restart, and fail partially — often while appearing healthy.
Network Model – Latency, Loss and Partitions
The network is unreliable by nature. Latency, message loss, and partitions make distributed systems behave in unexpected and often confusing ways.
System Models – How Distributed Systems See the World
A system model is not how the world actually behaves. Instead, it is a simplified set of assumptions about how a distributed system might behave — assumptions that allow engineers to design, analyze, and reason about correctness.
What Is a Distributed System (Really)?
Distributed systems aren’t hard because computers are slow, but because failures are subtle. Parts of the system can fail quietly, making everything look fine — until it isn’t.