Ask HN: How do you debug or trace Cloudflare RayIDs efficiently?

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How do you debug or trace Cloudflare RayIDs efficiently?

I’m trying to understand how DevOps and developers currently handle debugging Cloudflare RayIDs. When an error or outage happens (say, a 502 or WAF block), Cloudflare provides a “Ray ID” — but getting the full context (edge data center, latency path, WAF rules, request diagnostics) usually means jumping through multiple dashboards or APIs.

How do you currently trace those RayIDs or investigate the root cause?

Do you use Cloudflare’s dashboard/logs manually?

Have you built internal scripts or dashboards?

Is there any existing API-based tool or aggregator you trust for this?

I’m exploring whether a “ Aggregator or solution based API could simplify this — paste a RayID, get a full diagnostic (edge path, WAF triggers, latency visualization, etc.) instantly.

Curious: would that actually save you time or fit into your workflow? What’s the hardest part about debugging RayIDs today?

2 points | by mylescorner 7 hours ago

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