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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 12:22:02 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)
Copenhagen: 1 Node with 76 IP Addresses
Page 1 of 4 of totally 76 node IPs
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CF Code
City
Country
CF IP-Country
Node IP
CPH
Copenhagen
Denmark (DK)
Denmark (DK)
104.22.69.167
CPH
Copenhagen
Denmark (DK)
Sweden (SE)
162.158.134.10
CPH
Copenhagen
Denmark (DK)
Denmark (DK)
162.158.134.102
CPH
Copenhagen
Denmark (DK)
Norway (NO)
162.158.134.103
CPH
Copenhagen
Denmark (DK)
Sweden (SE)
162.158.134.122
CPH
Copenhagen
Denmark (DK)
Denmark (DK)
162.158.134.123
CPH
Copenhagen
Denmark (DK)
Sweden (SE)
162.158.134.124
CPH
Copenhagen
Denmark (DK)
Denmark (DK)
162.158.134.132
CPH
Copenhagen
Denmark (DK)
Sweden (SE)
162.158.134.138
CPH
Copenhagen
Denmark (DK)
Sweden (SE)
162.158.134.142
CPH
Copenhagen
Denmark (DK)
Sweden (SE)
162.158.134.143
CPH
Copenhagen
Denmark (DK)
Sweden (SE)
162.158.134.16
CPH
Copenhagen
Denmark (DK)
Denmark (DK)
162.158.134.17
CPH
Copenhagen
Denmark (DK)
Sweden (SE)
162.158.134.174
CPH
Copenhagen
Denmark (DK)
Denmark (DK)
162.158.134.190
CPH
Copenhagen
Denmark (DK)
Denmark (DK)
162.158.134.191
CPH
Copenhagen
Denmark (DK)
Sweden (SE)
162.158.134.196
CPH
Copenhagen
Denmark (DK)
Sweden (SE)
162.158.134.197
CPH
Copenhagen
Denmark (DK)
Denmark (DK)
162.158.134.20
CPH
Copenhagen
Denmark (DK)
Denmark (DK)
162.158.134.208
CPH
Copenhagen
Denmark (DK)
Uzbekistan (UZ)
162.158.134.209
CPH
Copenhagen
Denmark (DK)
Denmark (DK)
162.158.134.21
CPH
Copenhagen
Denmark (DK)
Sweden (SE)
162.158.134.216
CPH
Copenhagen
Denmark (DK)
Germany (DE)
162.158.134.217
CPH
Copenhagen
Denmark (DK)
Sweden (SE)
162.158.134.218
Page 1 of 4 of totally 76 node IPs
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WP-Rush: WordPress Performance by Prevention
The Hidden Cost of Tracking Scripts in WordPress
Tracking and analytics scripts contribute to business insight, but they also introduce measurable execution and rendering cost.
Third-Party Dependencies
External scripts add DNS lookups, TLS negotiation, and execution time.
Even asynchronous loading consumes main thread resources.
Script Stacking
Marketing ecosystems often accumulate multiple trackers.
Each adds marginal overhead.
Combined, they may meaningfully affect rendering time.
Backend Implications
Tracking logic may execute conditionally in PHP before being printed.
That increases template complexity.
Business Trade-Off
Analytics value must be weighed against performance cost.
Data quality does not require redundant script duplication.
Optimizing Without Blindness
Audit which scripts are truly necessary.
Remove overlapping functionality.
Key Takeaways
Third-party scripts affect both network and rendering.
Redundant trackers compound cost.
Audit marketing stack periodically.
Measure impact with real-user monitoring.
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