Data overview for this category
Data for this category comes from CDN consoles, DNS resolution records, public network access logs, and edge node monitoring alerts. Daily associated documents include domain name access forms, cache rule configuration tables, refresh and preheating operation records, and fault analysis reports. Data updates either sync daily or in real time when configuration changes are made. Fields include node IP addresses, cache hit rates, request response codes, refresh task statuses, and others. No mandatory statistical units are required. Raw operation and runtime data is recorded based on business scenarios only. This page is written using the scheduled task module of FastGPT v4.17.0.
Constraints on scheduled tasks and automation
Decentralized data sources mean scheduled tasks must pull data across multiple systems. Tasks must adapt to authentication and return formats for different APIs. Differences in update frequencies require task scheduling to distinguish between real-time change triggers and daily batch verification scenarios. The standardization level of document structures determines the parsing logic for automation scripts. Scripts must adapt to field order in domain name access forms and regular expression matching rules for cache rules. Long execution times for abnormal node troubleshooting require scheduled tasks to prioritize inspections of high-frequency fault nodes. This avoids full scans that consume excessive resources.
Configuration settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Inspection Task Trigger Interval | Every 15–30 minutes | Matches the daily data update rhythm to respond to edge node anomalies in a timely manner |
| Cross-system Data Pull Timeout | 30–60 seconds | Reserves redundant time to adapt to differences in API response times, prevents task blocking |
| Abnormal Alert Threshold Matching Rules | Trigger when cache hit rate is below 80% or 4xx/5xx response codes account for more than 5% of total requests | Aligns with industry general anomaly judgment standards, filters invalid alerts |
| Fault Retrospective Report Generation Frequency | Daily at 00:00 | Compiles all full-day data to meet next-day analysis requirements |
| Batch Refresh and Preheating Task Concurrency | 10–20 concurrent tasks | Adapts to CDN console API call limits, prevents rate limiting triggers |
Three common configuration mistakes
- Symptom: Scheduled push messages to external WeChat Work groups are empty or trigger errors. Cause: Field mapping between CDN fault data and message templates is not configured, leading to missing content to send.
- Symptom: Scheduled inspection tasks frequently send duplicate alerts. Cause: Alert deduplication cycles are not set, leading to multiple pushes for alerts from the same abnormal node in a short time.
- Symptom: Batch refresh and preheating tasks time out and are blocked. Cause: Concurrency limits are not set, exceeding CDN console API call limits leads to request rejection.
How to confirm configurations are properly set
- Manually trigger a scheduled inspection task. Confirm that data can be pulled from the CDN console and DNS resolution systems.
- Review task execution logs. Confirm that cross-system data pull timeouts do not trigger errors.
- Generate a temporary fault retrospective report. Confirm that the report includes core fields such as cache rules and refresh records.
- Simulate an abnormal node scenario. Confirm that alerts trigger and push according to configured rules.
The values provided are common starting points and should be validated against local deployment data.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.