What Is Backpressure?

Backpressure: a system’s way of saying “slow down” before overload turns into timeouts and retries. Understand why it matters and what signals it uses.
Diagram showing backpressure as a signal from a downstream component to an upstream component to slow down.

What Is Load Shedding?

Load shedding rejects work during overload so systems stay usable. Learn why it matters, what it looks like, and how it prevents retry storms.
Diagram showing load shedding as a way to keep the system in a controlled state under stress.

Fundamentals of Software Debugging

Software debugging fundamentals for developers: mental models, evidence-driven workflows, observability signals, and practical techniques for finding root causes fast.
Abstract illustration of software debugging workflow: define failure, reduce surface area, form hypotheses, collect evidence, confirm root cause, and prevent recurrence.

Fundamentals of Networking

Networking fundamentals for developers: packets, IP addressing, routing, TCP and UDP, DNS, TLS, and a practical troubleshooting mental model.
Diagram showing the networking stack and how data flows through it.

Why Should I Learn Software Fundamentals?

Why learn software fundamentals? They outlast frameworks and reduce pain. Build skills that pay off for your career and your users.
A diagram showing a software system with a foundation of fundamentals and a building on top of it. The building represents the software system and the foundation represents the fundamentals.

Fundamental Algorithmic Patterns

Algorithmic patterns reference: two pointers, sliding window, dynamic programming, and 30+ more. Learn to spot patterns and solve problems faster.

How Algorithmic Patterns Work

Algorithmic patterns explained: why patterns work, how patterns combine, and how to practice recognition without memorizing solutions.
Flow showing how algorithmic patterns relate, combine, and guide practice.

Fundamentals of Computer Processing

CPU vs GPU vs TPU: learn how processing architectures differ, when to use each, and how latency, throughput, and data movement shape performance.
Conceptual diagram comparing CPUs, GPUs, TPUs, and specialized processors and how they map to different workloads.

Fundamental Data Structures

Data structures guide: arrays, hash maps, sets, stacks, queues, trees, graphs. Types, properties, when to use in Python, JavaScript, Java, C++, Go, Rust.
Conceptual diagram showing arrays, hash maps, sets, trees, graphs, and how they organize data differently.

Fundamentals of Data Structures

Master data structure fundamentals: arrays, hash maps, trees, and graphs. Learn how structure choices shape algorithm performance, reliability, and developer sanity.