Dynamic Media OpenAPI and Asset Gateway: understanding and resolving API RateLimits
High-volume API activity can return HTTP 429 errors when request patterns exceed dynamic rate limits. The issue is commonly caused by burst traffic, repeated polling, or multi-step workflows where each call is counted separately, while caching can delay when updates become visible. Resolution focuses on confirming throttling in logs, reducing unnecessary requests, respecting cache behavior, and applying exponential backoff. Stable responses return after request patterns and retry behavior are adjusted.
Description description
Environment:
- API-based asset ingestion workflows
- Metadata retrieval workflows
- Asset delivery or gateway integrations
- Clients making repeated or high-volume API requests
Issue/Symptoms
- API endpoints return intermittent HTTP 429 Too Many Requests responses, which can be confirmed in application logs or monitoring data and tied back to the affected endpoints.
- The issue is more noticeable during burst traffic or other high-volume request periods, indicating throttling under heavier request load.
- Multi-step workflows can be disproportionately affected because a single operation may generate several counted API requests, such as search, metadata lookup, upload initiation, and upload submission.
- Repeated client activity, including polling, retries, or failure to reuse cached responses, can increase request volume and contribute to throttling.
- Asset or content updates may appear delayed because cached responses can persist for up to 10 minutes; this behavior can be validated through response headers such as
Cache-Control: max-age=600. - In these cases, updated content may become visible only after 1 to 10 minutes, which points to cache-layer delay rather than a separate API failure.
Root cause:
The API uses dynamic, load-based rate limiting rather than a fixed requests-per-second threshold. Traffic spikes, unoptimized polling, and multi-step upload or query flows can push request volume beyond healthy limits and trigger throttling. In addition, responses may be cached with Cache-Control: max-age=600, so downstream caches can continue serving older data after the origin has updated.
Resolution resolution
Use the steps below to reduce throttling and confirm recovery.
- Review application logs or API monitoring to identify HTTP 429 Too Many Requests responses. The expected outcome is clear evidence of throttling tied to the affected API endpoints. Verify that the responses are repeatable in the same workflow and are not isolated to unrelated requests.
- Inspect upload or query workflows for multi-step request patterns. The expected outcome is identification of flows where each call contributes separately to the overall request volume. Verify that request sequences such as search, metadata lookup, upload initiation, and upload submission are all being counted.
- Review retry behavior and response caching, including
Cache-Control: max-age=600. The expected outcome is finding repeated calls that can be removed, delayed, or cached. Verify that the client respects the cache duration and does not immediately re-request the same data. - Reduce request volume by caching responses where possible and avoiding repeated metadata fetches or duplicate calls. The expected outcome is lower API throughput and fewer throttled requests. Verify the change by reviewing logs or monitoring to confirm that request volume decreases and 429 responses occur less often.
- Validate cache behavior when checking for updates. The expected outcome is recognizing that refreshed content may appear after normal cache propagation rather than immediately. Verify this by clearing browser cache, retrying the request, and confirming that refreshed content appears within the expected 1 to 10 minute cache window.
- Apply exponential backoff so the client waits progressively longer before retrying after a 429 response. The expected outcome is a lower frequency of throttling events. Verify the improvement by monitoring logs after the retry changes are deployed and confirming that repeated 429 responses decline.
- If traffic consistently approaches the service limits, review whether request batching or workflow design changes can reduce per-item calls. The expected outcome is more stable response behavior under normal traffic. Verify that request patterns remain steady during typical usage and no longer trigger repeated throttling.
- If throttling continues after request optimization, collect timestamps, affected endpoints, request and response headers, estimated request rate, and cache strategy details before contacting support. The expected outcome is a complete technical record that supports faster investigation. Verify that the collected information reflects the throttled requests and the conditions under which they occur.
If HTTP 429 Too Many Requests responses continue after request volume has been reduced, caching is working as expected, retry behavior has been updated, and throttling is still repeatable for the same API workflows, submit a ticket to Adobe Support and include the timestamps, affected endpoints, request and response headers, estimated request rate, and cache strategy details collected during troubleshooting.