
Concurrency vs Parallelism: What is the difference? (Deep Dive)
Concurrency is about structure, Parallelism is about execution. Understanding Single-core multitasking vs Multi-core processing.

Concurrency is about structure, Parallelism is about execution. Understanding Single-core multitasking vs Multi-core processing.
Why does my server crash? OS's desperate struggle to manage limited memory. War against Fragmentation.

Two ways to escape a maze. Spread out wide (BFS) or dig deep (DFS)? Who finds the shortest path?

Fast by name. Partitioning around a Pivot. Why is it the standard library choice despite O(N²) worst case?

Establishing TCP connection is expensive. Reuse it for multiple requests.

After years of trial and error, here's what crystallized for me:
As Rob Pike, creator of Go, famously said:
"Concurrency is about dealing with lots of things at once. Parallelism is about doing lots of things at once."
The key insight is understanding your workload. Is it waiting (I/O) or computing (CPU)? Choose the right tool. More threads don't automatically mean faster code. Understanding the context and applying the appropriate concurrency/parallelism model — that's real engineering skill.