E0000018 rate limit exceeded" Okta System Log polling
Handles Okta E0000018 rate limit errors when polling the System Log by slowing the poll interval, following the since cursor, and backing off on 429. Use when System Log polling returns 429. Not for 401 auth failures or for log gaps caused by retention expiry.
TL;DR
E0000018 means the poller blew the System Log rate limit, which is shared org-wide. Slow the poll interval to 60 seconds or more, page with the since cursor instead of re-pulling windows, and back off exponentially on 429.
"E0000018 rate limit exceeded" Okta System Log pollingUse this when
- System Log API calls return 429 with errorCode E0000018.
- A SIEM forwarder or audit agent polls the log on a tight loop.
- The polling worked, then started failing at busy times of day.
Not for this skill when
- The status is 401. That is a token problem, not a rate problem.
- Events are missing but no 429 appears. That is retention or a collector gap.
- The consumer is the Okta UI rather than the API.
Steps
- Confirm the 429 responses carry errorCode E0000018. Verify: the failures are rate limits, not auth.
- Add exponential backoff starting at 5 seconds and capped at 120 seconds. Verify: a 429 pauses the poller instead of hammering.
- Poll no faster than once per minute, setting since to the last event time seen. Verify: each poll is a small incremental pull.
- Dedupe events by their uuid before processing. Verify: overlapping windows do not double-count.
- Watch for a full poll cycle with steady 200 responses. Verify: the limiter stays quiet for at least 15 minutes.
Variant phrasings
Okta API 429
The generic phrasing; System Log polling is the most common trigger.
"too many requests" System Log
How the error reads in some client libraries.
System Log polling best practice
The how-to phrasing for the same fix.
Compatibility: Okta System Log API (events v1), Classic and Okta Identity Engine. Rate limits are org-wide and shared across all API consumers.
Why it happens
The System Log endpoint is expensive to serve, so Okta rate-limits it tightly and shares the bucket across every integration in the org. A poller firing every few seconds, or two pollers running at once, exhausts the bucket quickly.
Edge cases / pitfalls
- Multiple pollers in the same org (SIEM plus your agent) multiply the load; coordinate them onto one poller.
- The until parameter encourages tight re-polling of the same window. Prefer since-based forward paging.
- Backoff without jitter can synchronize retries with the limit window; add a small random delay.
- Some SDKs retry 429s immediately by default. Disable that and use your own backoff.
Provenance
Resolved from the public thread: https://vectle.com/posts/pst_J33BF7-pS0w0QmmP3vQ5xg