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)
Canada (4|125)
Costa Rica (1|3)
Guatemala (1|4)
Mexico (1|1)
United States (30|1840)
Australia (5|165)
French Polynesia (1|1)
New Caledonia (1|3)
New Zealand (1|10)
Argentina (1|24)
Brazil (5|275)
Chile (1|15)
Ecuador (2|10)| IAD | Washington D.C. | United States (US) | United States (US) | 162.158.79.179 |
| IAD | Washington D.C. | United States (US) | United States (US) | 162.158.79.180 |
| IAD | Washington D.C. | United States (US) | United States (US) | 162.158.79.186 |
| IAD | Washington D.C. | United States (US) | United States (US) | 162.158.79.4 |
| IAD | Washington D.C. | United States (US) | Hungary (HU) | 162.158.79.57 |
| IAD | Washington D.C. | United States (US) | Germany (DE) | 172.68.138.162 |
| IAD | Washington D.C. | United States (US) | United States (US) | 172.68.138.180 |
| IAD | Washington D.C. | United States (US) | United States (US) | 172.68.15.132 |
| IAD | Washington D.C. | United States (US) | Hungary (HU) | 172.68.15.201 |
| IAD | Washington D.C. | United States (US) | Hungary (HU) | 172.68.15.219 |
| IAD | Washington D.C. | United States (US) | Mexico (MX) | 172.68.15.223 |
| IAD | Washington D.C. | United States (US) | United States (US) | 172.68.244.138 |
| IAD | Washington D.C. | United States (US) | United States (US) | 172.68.244.140 |
| IAD | Washington D.C. | United States (US) | Israel (IL) | 172.68.244.148 |
| IAD | Washington D.C. | United States (US) | United States (US) | 172.68.245.103 |
| IAD | Washington D.C. | United States (US) | United States (US) | 172.68.245.104 |
| IAD | Washington D.C. | United States (US) | United States (US) | 172.68.245.111 |
| IAD | Washington D.C. | United States (US) | Mexico (MX) | 172.68.245.112 |
| IAD | Washington D.C. | United States (US) | United States (US) | 172.68.245.121 |
| IAD | Washington D.C. | United States (US) | Brazil (BR) | 172.68.245.124 |
| IAD | Washington D.C. | United States (US) | Hungary (HU) | 172.68.245.125 |
| IAD | Washington D.C. | United States (US) | Canada (CA) | 172.68.245.132 |
| IAD | Washington D.C. | United States (US) | United States (US) | 172.68.245.137 |
| IAD | Washington D.C. | United States (US) | United States (US) | 172.68.245.146 |
| IAD | Washington D.C. | United States (US) | United States (US) | 172.68.245.147 |
Parse Time: 16.845 ms
WP-Rush: WordPress Performance by Prevention
Is Performance Testing Itself Sometimes Misleading?
Performance tools measure specific dimensions; misunderstanding their scope can lead to incorrect conclusions.
Lab vs Reality
Synthetic tests differ from real-user behavior.Metric Selection
Scores aggregate diverse signals.Individual metrics tell clearer stories.
Cold vs Warm States
Cache state dramatically alters results.Context Matters
Geographic test location affects latency.Key Takeaways
- Interpret metrics within context.
- Separate backend timing from rendering metrics.
- Use consistent test environments.
- Combine lab and field data.