165 CloudFlare Nodes in 85 of totally 130 Countries

Visit this page regularly as it is updated daily. Last data update: 15-06-2026 07:46:24 UTC

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Hong Kong: 1 Node with 235 IP Addresses

CF Code
City
Country
CF IP-Country
HKG
Hong KongChina (CN)Philippines (PH)172.71.214.245
HKG
Hong KongChina (CN)Vietnam (VN)172.71.214.28
HKG
Hong KongChina (CN)Vietnam (VN)172.71.214.29
HKG
Hong KongChina (CN)Philippines (PH)172.71.214.34
HKG
Hong KongChina (CN)China (HK)172.71.214.44
HKG
Hong KongChina (CN)Vietnam (VN)172.71.214.58
HKG
Hong KongChina (CN)China (HK)172.71.214.59
HKG
Hong KongChina (CN)South Korea (KR)172.71.214.64
HKG
Hong KongChina (CN)United Arab Emirates (AE)172.71.214.94
HKG
Hong KongChina (CN)China (HK)172.71.215.106
HKG
Hong KongChina (CN)China (HK)172.71.215.110
HKG
Hong KongChina (CN)China (HK)172.71.215.131
HKG
Hong KongChina (CN)Vietnam (VN)172.71.215.146
HKG
Hong KongChina (CN)Indonesia (ID)172.71.215.148
HKG
Hong KongChina (CN)Philippines (PH)172.71.215.166
HKG
Hong KongChina (CN)Philippines (PH)172.71.215.176
HKG
Hong KongChina (CN)Philippines (PH)172.71.215.185
HKG
Hong KongChina (CN)China (HK)172.71.215.186
HKG
Hong KongChina (CN)China (HK)172.71.215.199
HKG
Hong KongChina (CN)Vietnam (VN)172.71.215.22
HKG
Hong KongChina (CN)United Arab Emirates (AE)172.71.215.221
HKG
Hong KongChina (CN)United Arab Emirates (AE)172.71.215.222
HKG
Hong KongChina (CN)Vietnam (VN)172.71.215.60
HKG
Hong KongChina (CN)Vietnam (VN)172.71.215.7
HKG
Hong KongChina (CN)Vietnam (VN)172.71.218.101



Parse Time: 83.210 ms


When Adding More Servers Is Not the Real Answer


When Adding More Servers Is Not the Real Answer

Horizontal scaling solves capacity problems, but not necessarily inefficiency.

Scaling Logic

More servers increase throughput.
They do not reduce per-request cost.

Economic Consideration

Scaling infrastructure without reducing inefficiency increases operational expense.

Architectural First

Reducing execution cost often yields more sustainable improvements.

Load Testing Insight

Measure per-request CPU time before scaling decisions.

Key Takeaways

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