Advanced Git Internals – How Git Scales to Massive Repositories
Git scales to millions of files using packfiles, delta compression, and smart object storage. This post explains advanced Git internals behind large repositories
Distributed Systems
Communication Fundamentals in Distributed Systems
Communication in distributed systems relies on message passing, not shared memory, making failures and delays unavoidable.
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.
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.