Good alerts are actionable and user-impact focused (symptom-based), with clear severity and a runbook link. Avoid alert fatigue by reducing noisy alerts, using proper thresholds, grouping, and paging only on real incidents (use error budgets).
Advanced answer
Deep dive
Expanding on the short answer — what usually matters in practice:
Explain the "why", not just the "what" (intuition + consequences).
Trade-offs: what you gain/lose (time, memory, complexity, risk).
Edge cases: empty inputs, large inputs, invalid inputs, concurrency.
Examples
A tiny example (an explanation template):
// Example: discuss trade-offs for "what-makes-a-good-alert-and-how-do-you-avoid-ale"
function explain() {
// Start from the core idea:
// Good alerts are actionable and user-impact focused (symptom-based), with clear severity an
}
Common pitfalls
Too generic: no concrete trade-offs or examples.
Mixing average-case and worst-case (e.g., complexity).