The Operation Process Of Using CF Tool To Quickly Generate Or Capture Cf Korean Server Images

1.

Overview and applicable scenarios

- Description: Introduce why it is necessary to capture images at the CF Korean node, such as accelerated verification, cache hit check, and cross-border display testing.
- Target: Used for image warm-up, CDN debugging and performance monitoring of legitimate sites, and does not involve circumventing access control.
- Technologies involved: domain name resolution, Cloudflare settings, HTTP cache headers, differences between origin sites and edge nodes.
- Tool types: CF dashboard, curl/wget, Headless browser (Puppeteer), monitoring script.
- Risk warning: Comply with the target site's robots and terms of service to avoid abnormal DDoS traffic caused by high-frequency crawling.

2.

Preparation work and environment configuration

- Domain name and DNS: Make sure the domain name is connected to Cloudflare and Korean page rules or Argo (if required) are enabled.
- API Token: Create a minimum permission API Token in the Cloudflare console, which is used to call cache cleaning or page rules.
- Tool environment: Prepare a VPS or cloud host (it is recommended to be located near Asia-Pacific or South Korea to test latency), and configure curl/Node.js.
- Protection settings: Keep WAF and rate limiting policies to avoid triggering protection during testing.
- Log collection: Enable edge logs (Enterprise or log solution) to facilitate subsequent comparison and analysis.

3.

Operation process for quickly grabbing or generating images (compliance method)

- Step 1: Use API to obtain the CF edge node information of the target URL and confirm that the request will go to the Korean region.
- Step 2: Use curl request with header on the test VPS to simulate a real browser and observe Cache-Control/CF-Cache-Status.
- Step 3: If you need to generate images (such as thumbnails), enable the auto-scaling interface on the origin site and let CF cache the results at the edge.
- Step 4: Control the cache life cycle and edge refresh frequency of the image through Cloudflare's cache cleaning API or page rules.
- Step 5: Record each response time, cache hit rate and bandwidth consumption for optimization rules and cost assessment.

4.

Server and CDN configuration examples (real data examples)

- Origin site example: Ubuntu 22.04, Nginx 1.22, 4 vCPU, 8GB RAM, bandwidth 1Gbps, located in Seoul IDC.
- Cloudflare settings: Proxy On, Cache Level: Cache Everything, Edge Cache TTL: 7d, Argo Smart Routing enabled.
- Cache header example: Cache-Control: public, max-age=604800, CF-Cache-Status: HIT/MISS.
- Performance data: First request latency ~180ms (South Korea edge), ~20-40ms after cache reuse.
- Compliance policy: rate limit 100r/m IP, WAF rule set enables common crawler protection.

5.

Real case analysis

- Background: E-commerce websites need to warm up thousands of product images in the Korean market and ensure smooth traffic on the first day of the event.
- Solution: The images are automatically generated as thumbnails through the origin site and then cached on the edge by Cloudflare. The images are cached by path using page rules for 7 days.
- Result: 99% of the images were hit from the edge, the origin site bandwidth dropped by 72%, and the first page loading speed dropped from 1.8s to 0.6s.
- Indicators: Peak concurrent requests are 10k, edge bandwidth accounts for 88%, and the peak bandwidth of the origin site is reduced from 600Mbps to 160Mbps.
- Experience: Properly setting TTL and compression (WebP/AVIF) can further reduce costs and improve user experience.

6.

Notes and Compliance Suggestions

- Compliance: Only crawl authorized or own content, respect robots.txt and target site policies.
- Frequency control: Avoid a large number of concurrent requests in a short period of time from triggering network protection or affecting target services.
- Security: Protect API Tokens and keys, and do not write credentials to public repositories.
- Monitoring alarms: Set bandwidth and error rate threshold alarms, and roll back abnormal configurations in a timely manner.
- Law and Privacy: Cross-border data transfer requires attention to local regulations (such as the Korean Personal Information Protection Act) and user privacy.