How to Diagnose Retry Storms on 429/503

When clients keep retrying immediately after 429/503, incidents can last longer. The fastest path is to check Retry-After and real retry behavior together.

Typical symptoms

Diagnostic steps

  1. 1) Capture real status/Date/Retry-After values with Response Headers Parser
  2. 2) Use Retry-After Inspect to classify delta-seconds vs HTTP-date
  3. 3) Confirm intended semantics of 429/503 with HTTP Status Inspect
  4. 4) Use Server-Timing Inspect to correlate overload windows with retry bursts
  5. 5) Validate client implementation (wait units, retry cap, jitter)

Common causes

Operational checklist

Post-fix verification

Tools to use

FAQ

Is Retry-After returned as seconds or date?
Both are valid. Always detect whether it is delta-seconds or HTTP-date from actual values.
What is the minimum requirement to stop retry storms?
Implement all four together: Retry-After compliance, exponential backoff, jitter, and retry caps.

Referenced specs

These links are generated from site_map rules in recommended diagnostic order.

  1. HTTP Header Parser — Parse raw headers into structured lists
  2. Response Headers Parser — Parse response headers into structured data
  3. Retry-After Inspect — Parse Retry-After and inspect retry wait behavior
  4. HTTP Status Inspect — Analyze HTTP status codes and suggest handling direction
  5. Server-Timing Inspect — Parse Server-Timing and inspect latency metrics
  6. Symptom-Based Diagnostic Guide (Start Here) — A central hub that routes cache/CORS/JWT/MIME incidents into shortest symptom-first diagnostic paths
  7. How to Diagnose Missing 304 Responses — Trace ETag/Last-Modified and If-* round trips to isolate missing 304 behavior
  8. How to Diagnose Stale Content After Deployment — Check cache policy by HTML/API/static assets to isolate stale deployment issues quickly

Scenario Clusters

Operational incident scenarios that route you into the shortest diagnostic path