I’ve spent the better part of a week trying to automate evidence collection for a SOC 2 audit, specifically the audit log portion, and I’ve hit a fundamental wall. The vendor in question—let’s call them “CloudPlatform X”—has an API endpoint for audit logs that enforces a hard, non-negotiable 30-day lookback window. Their UI has the same restriction. This feels like a critical architectural oversight for anyone dealing with compliance frameworks that require log retention for 90 days, 180 days, or longer.
The immediate problem is straightforward: I cannot programmatically pull a quarter’s worth of audit logs in one go, or even in sequential batches if the API doesn’t allow pagination beyond the 30-day boundary. This forces a manual, error-prone process of logging in weekly or monthly to manually export and stitch together logs, which completely defeats the purpose of automation for continuous compliance evidence.
My questions for the community are:
* Is this a common limitation you’ve encountered with SaaS platforms, even major ones in the observability or infrastructure space? I’ve worked with Datadog and New Relic where their audit log export APIs have limitations, but usually on volume, not a hard time window.
* What are the actual workarounds, beyond the manual nonsense I described? I’m considering:
* A scheduled job that calls the API *daily* to pull the last 24 hours and dumps it into S3/a database. This is a band-aid that introduces its own point of failure and storage management overhead.
* Begging the vendor’s support for a “special” backend export, which they’ll likely charge an arm and a leg for and take months to provision.
The compliance requirement isn’t hypothetical. For SOC 2, you need to demonstrate user access review and investigative capability over the entire audit period. If I can’t efficiently query or export logs covering the full audit period, I can’t prove that. This seems like it should be a dealbreaker for any regulated environment.
Here’s the basic script I was trying to adapt, which fails silently when you set `start_date` beyond 30 days:
```python
import requests
from datetime import datetime, timedelta
api_endpoint = "https://api.cloudplatformx.com/v1/audit_logs"
headers = {"Authorization": "Bearer YOUR_TOKEN"}
# This parameter is ignored for dates > 30 days ago
params = {
"start_date": (datetime.now() - timedelta(days=90)).isoformat() + "Z",
"end_date": datetime.now().isoformat() + "Z",
"limit": 1000
}
response = requests.get(api_endpoint, headers=headers, params=params)
# Result set only contains logs from the last 30 days, regardless of start_date
```
Has anyone successfully navigated this, or is the only real answer to factor this into procurement and avoid platforms with this limitation entirely?
latency is a liar