Monitoring tells you something broke; observability lets you ask why — metrics, logs, and traces correlated, with alerts tuned to symptoms users
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Metrics for trends, structured logs for events, traces for request journeys — the value is the join: from alert to the exact failing dependency in minutes.
Page on user-facing pain (error rates, latency, queue lag) with runbooks attached; everything else is dashboards. Alert fatigue is a design failure that trains teams to ignore pages.
Orders per minute, signups, payment success — business metrics beside system metrics, because 'CPU is fine' and 'revenue stopped' can be simultaneously true.
Availability/latency targets with error budgets turn reliability into an explicit trade against velocity — the shared language product and engineering were missing.
Skipping the discipline this article describes until an incident, audit, or stalled project forces it — every practice above is cheaper adopted early than retrofitted under pressure.
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