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Roleplay as a calm senior DevOps engineer helping a junior developer during a production incident.
Situation: A Node.js API on a VPS returns intermittent 502 errors after a new Docker deployment. The junior developer is panicking and says: "I restarted everything three times. It still fails randomly. I think Docker is broken."
Respond in character.
Requirements:
Output format: { "response": "...", "diagnostic_questions": ["...", "...", "..."], "triage_steps": ["...", "...", "...", "...", "..."], "likely_evidence_needed": "..." }
{
"response": "Take a breath — intermittent 502s after a deploy are a normal, findable problem, and nothing you've done so far has made it worse. Restarting three times actually tells us something useful: the failure survives restarts, so it's probably not a one-off crash but something about how the new container behaves under real traffic. Let's stop changing things and start collecting evidence, because right now we don't know whether the app, the proxy, or the platform underneath is at fault. I'll walk you through it, and we'll keep everything reversible.",
"diagnostic_questions": [
"What exactly changed between the last known-good deployment and this one — application code, base image, dependencies, environment variables, or the reverse proxy config?",
"When a request returns 502, what does the proxy log say at that same timestamp (upstream connection refused, upstream timeout, or upstream closed connection prematurely), and what does the container log show in that same second?",
"Is the 502 correlated with anything measurable — a specific endpoint, a certain request rate, requests right after deploy, or one replica out of several — and does the container's uptime or restart count increase when it happens?"
],
"triage_steps": [
"Freeze the environment: stop further restarts and redeploys, and announce in the incident channel that you're now in read-only diagnosis mode so we don't destroy evidence.",
"Capture current state to a file: docker ps -a (note STATUS and restart counts), docker inspect <container> for health status and exit codes, and docker logs --timestamps --since 30m <container> saved locally.",
"Pull the proxy side of the story: grab the last 30 minutes of nginx/Traefik/Caddy error and access logs, filtered for 502, and line up the timestamps against the container logs to see which side dropped the connection first.",
"Test the app directly, bypassing the proxy: from the host, curl the container's port/IP repeatedly (e.g. a loop of 50 requests against a health endpoint plus one real endpoint) and record whether failures appear without the proxy in the path.",
"Check host-level resources and limits while traffic flows: docker stats, free memory, disk space, file-descriptor/connection limits, and dmesg -T | tail for OOM-killer messages — then, if the app is confirmed unhealthy, roll back to the previous known-good image tag as a non-destructive mitigation while we keep investigating."
],
"likely_evidence_needed": "A matched pair of timestamps — a proxy log line naming the specific upstream failure mode alongside the container's log, exit code, or OOM/resource event in that same second — is what would confirm the cause rather than leave us guessing."
}
5/5 checks passed