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168 CloudFlare Nodes in 85 of totally 130 Countries
Visit this page regularly as it is updated daily. Last data update: 31-08-2026 09:00:49 UTC
Africa
Algeria (1|4)
Ethiopia (1|5)
Ivory Coast (1|5)
Kenya (2|7)
Mauritius (1|5)
Mozambique (1|2)
Reunion (1|3)
Rwanda (1|1)
South Africa (2|42)
Tanzania (1|6)
Zimbabwe (1|1)
Asia
Armenia (1|5)
Azerbaijan (2|5)
Bahrain (1|1)
Bangladesh (1|34)
China (1|472)
Georgia (1|9)
India (4|111)
Indonesia (3|9)
Israel (2|20)
Japan (3|99)
Jordan (1|4)
Kuwait (1|3)
Laos (1|2)
Malaysia (1|36)
Mongolia (1|1)
Nepal (1|15)
Oman (1|9)
Pakistan (2|16)
Philippines (2|6)
Singapore (1|576)
South Korea (1|10)
Sri Lanka (1|1)
Taiwan (2|23)
Thailand (1|21)
Turkey (1|84)
United Arab Emirates (1|4)
Vietnam (2|4)
Europe
Albania (1|4)
Austria (1|147)
Belgium (1|27)
Bulgaria (1|77)
Croatia (1|2)
Cyprus (1|10)
Czech Republic (1|46)
Denmark (1|76)
Estonia (1|18)
Finland (1|22)
France (3|558)
Germany (6|645)
Greece (1|38)
Hungary (1|9)
Iceland (1|2)
Ireland (1|18)
Italy (2|169)
Latvia (1|27)
Lithuania (1|7)
Luxembourg (1|2)
Moldova (1|1)
Netherlands (1|533)
Norway (1|29)
Poland (2|191)
Portugal (1|39)
Romania (1|82)
Russia (1|12)
Serbia (1|14)
Slovakia (1|12)
Spain (2|166)
Sweden (1|80)
Switzerland (2|49)
Ukraine (1|10)
United Kingdom (3|556)
North America
Canada (4|125)
Costa Rica (1|3)
Guatemala (1|4)
Mexico (1|1)
United States (30|1840)
Oceania
Australia (5|165)
French Polynesia (1|1)
New Caledonia (1|3)
New Zealand (1|10)
South America
Argentina (1|24)
Brazil (5|275)
Chile (1|15)
Ecuador (2|10)
Rio de Janeiro: 1 Node with 49 IP Addresses
Page 1 of 2 of totally 49 node IPs
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2
CF Code
City
Country
CF IP-Country
Node IP
GIG
Rio de Janeiro
Brazil (BR)
Brazil (BR)
172.64.222.29
GIG
Rio de Janeiro
Brazil (BR)
Brazil (BR)
172.68.14.10
GIG
Rio de Janeiro
Brazil (BR)
Brazil (BR)
172.68.14.11
GIG
Rio de Janeiro
Brazil (BR)
Venezuela (VE)
172.68.14.18
GIG
Rio de Janeiro
Brazil (BR)
Germany (DE)
172.68.14.198
GIG
Rio de Janeiro
Brazil (BR)
Chile (CL)
172.68.14.212
GIG
Rio de Janeiro
Brazil (BR)
Germany (DE)
172.68.14.39
GIG
Rio de Janeiro
Brazil (BR)
Brazil (BR)
172.68.14.62
GIG
Rio de Janeiro
Brazil (BR)
Brazil (BR)
172.68.14.63
GIG
Rio de Janeiro
Brazil (BR)
Germany (DE)
172.68.14.72
GIG
Rio de Janeiro
Brazil (BR)
Brazil (BR)
172.68.187.14
GIG
Rio de Janeiro
Brazil (BR)
Brazil (BR)
172.69.90.102
GIG
Rio de Janeiro
Brazil (BR)
Brazil (BR)
172.69.90.103
GIG
Rio de Janeiro
Brazil (BR)
Brazil (BR)
172.69.90.152
GIG
Rio de Janeiro
Brazil (BR)
Brazil (BR)
172.69.90.153
GIG
Rio de Janeiro
Brazil (BR)
Germany (DE)
172.69.90.21
GIG
Rio de Janeiro
Brazil (BR)
Hungary (HU)
172.69.90.214
GIG
Rio de Janeiro
Brazil (BR)
Brazil (BR)
172.69.90.239
GIG
Rio de Janeiro
Brazil (BR)
Germany (DE)
172.69.90.242
GIG
Rio de Janeiro
Brazil (BR)
Brazil (BR)
172.69.90.28
GIG
Rio de Janeiro
Brazil (BR)
Chile (CL)
172.69.90.86
GIG
Rio de Janeiro
Brazil (BR)
Germany (DE)
172.69.90.87
GIG
Rio de Janeiro
Brazil (BR)
Brazil (BR)
172.69.90.91
GIG
Rio de Janeiro
Brazil (BR)
Brazil (BR)
172.69.91.13
GIG
Rio de Janeiro
Brazil (BR)
Brazil (BR)
172.69.91.69
Page 1 of 2 of totally 49 node IPs
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WP-Rush: WordPress Performance by Prevention
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
Scale after optimizing structure.
Separate throughput from efficiency.
Analyze cost per request.
Infrastructure should amplify good architecture.
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