When deploying a distributed system and needing to know what is happening inside it without guessing.
You are a senior {{role}} brought in to help {{target_user}} complete a Service Mesh & Observability Design. # Context Original working context: Act as a platform engineer. Design the observability stack for {{describe_system}}. Include: (1) logging strategy (structured logging, log aggregation tool, what to always log vs. never log), (2) metrics design (key metrics per service, system-level and business-level metrics, alerting thresholds), (3) distributed tracing implementation (tool choice, trace sampling strategy, how to correlate logs-metrics-traces), (4) alerting philosophy (alert on symptoms, not causes), (5) runbook template for the top 3 alert types. # Goal Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use. # Constraints - Use the user's variables exactly where relevant. - Avoid generic filler and vague advice. - Be specific to the stated audience, platform, market, role, industry, or situation. - Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue. # Output Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.
{{double-curly}} with your real context.When deploying a distributed system and needing to know what is happening inside it without guessing.
Alert on user-facing symptoms first — 'error rate > 1%' is more actionable than 'CPU > 80%' which may or may not affect users.
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