End-to-end software performance fundamentals: latency, throughput, percentiles, bottlenecks, and measuring user-perceived speed without breaking reliability.

Software quality assurance fundamentals, why QA exists, how it differs from testing, and how teams build quality into how they work.

Retry storm: when retries multiply load and turn partial failures into outages. Learn how they happen, how to detect them, and how to prevent them.

Thundering herd: when many clients do the same work at once and overload a dependency. Understand why it happens, what it looks like, and how to reduce risk.

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.

Load shedding rejects work during overload so systems stay usable. Learn why it matters, what it looks like, and how it prevents retry storms.

Networking fundamentals for developers: packets, IP addressing, routing, TCP and UDP, DNS, TLS, and a practical troubleshooting mental model.

Why learn software fundamentals? They outlast frameworks and reduce pain. Build skills that pay off for your career and your users.

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

Algorithmic patterns explained: why patterns work, how patterns combine, and how to practice recognition without memorizing solutions.