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Network Latency

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This grid displays the network latency of pings between each monitoring location in the Dotcom-Monitor cloud network. With over two dozen monitoring locations throughout the world, the Dotcom-Monitor network serves as a standard baseline for detecting trends in backbone latency communication issues as well as regional outages and slowdowns.

  Madrid Beijing Sydney Copenhagen Seattle IPv6 San Franciso Mumbai Warsaw Paris Johannesburg Buenos Aires Shanghai Tokyo AWS US-East Washington DC Tel-Aviv Amsterdam Dallas Brisbane Denver Frankfurt Montreal Hong Kong Miami San Francisco London New York Minneapolis
Madrid 1 253 295 41 163 142 137 54 17 182 232 276 261 104 94 77 32 125 255 141 33 106 172 138 150 26 90 150
Beijing 238 1
 
189 218
 
399 193 237
 
368 24
 
230 214 292 176 237 396 242 177 252 46 230 156 182 236 220
Sydney 294 235 1 314 156 149 199 320 283 429 353 161 139 214 234 336 289 175 14 170 311 209 121 228 153 283 225 211
Copenhagen 41
 
314 1 173 155 155 25 22 165 244 300 221 93 93 71 13 139 270 130 15 95 185 120 154 25 93 158
Seattle 163 221 156 172 1
 
276 159 148 271 208 201 131 69 68 193 145 53 187 30 155 71 127 71 20 142 74 69
IPv6 San Franciso
 
 
 
 
 
1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Mumbai 137 399 199 155 270
 
1 168 135 299 409 404 142 232 273 315 156 284 199 253 136 284 107 248 262 251 304 303
Warsaw 54 193 320 25 159
 
169 1 39 174 247 236 280 119 109 89 36 143 287 142 29 107 192 135 172 36 109 165
Paris 17 237 283 22 148
 
133 39 1 162 221 245 254 85 78 64 15 111 251 109 14 84 197 107 134 10 79 134
Johannesburg 182
 
429 165 271
 
299 175 162 1 379
 
378 224 231 200 151 254 422 257 166 220 396 244 278 143 226 285
Buenos Aires 237 383 353 245 209
 
408 247 215 379 1 379 299 144 149 279 224 161 367 189 232 178 365 157 204 217 149 189
Shanghai 276 24 160 300 188
 
413 235 244
 
380 1 52 249 198 295 300 248 373 245 260 239 33 230 150 277 242 247
Tokyo 261 113 139 221 146
 
142 280 254 378 299 52 1 165 163 283 258 137 111 112 231 180 53 180 101 201 162 168
AWS US-East 104 226 214 94 75
 
232 119 85 224 144 252 165 1 2 139 87 29 237 45 84 15 216 26 141 74 6 57
Washington DC 94 214 255 101 68 73 286 108 78 231 149 198 163 2 1 133 87 69 304 45 83 15 226 28 63 75 6 58
Tel-Aviv 77 292 336 71 193
 
310 90 64 200 291 294 283 139 133 1 73 178 352 172 66 193 292 175 210 62 143 184
Amsterdam 32 164 292 13 145 136 160 36 15 151 224
 
257 87 86 73 1 121 259 117 9 93 179 116 137 11 84 135
Dallas 125 237 175 139 53 43 284 143 111 257 161 243 137 32 68 178 121 1 206 20 115 44 203 29 37 105 40 47
Brisbane 255
 
14 270 187 164 199 287 251 422 367 373 111 237 304 352 259 206 1 189 258 238 128 230 175 282 237 230
Denver 141 242 170 130 30 24 249 143 109 257 189 245 112 45 45 172 117 20 189 1 121 44 167 51 24 118 40 42
Frankfurt 33 177 311 16 155 157 136 29 14 165 231 260 231 84 83 66 9 115 258 121 1 90 213 124 145 21 105 143
Montreal 106 278 210 95 69
 
284 107 84 220 178 239 181 15 15 193 93 45 238 42 92 1 197 39 78 78 9 66
Hong Kong 172 47 121 193 135
 
107 202 197 397 374 47 52 216 219 292 179 203 128 167 222 194 1 215 154 221 205 244
Miami 138 236 228 120 71 71 248 135 107 244 154
 
180 25 28 175 116 29 229 51 121 39 215 1 75 104 32 64
San Francisco 150 153 153 155 20 1 262 172 134 278 203 150 101 64 63 185 137 37 180 24 145 78 154 76 1 134 63 67
London 26 180 283 25 142 134 251 36 10 143 217 277 201 74 75 62 11 106 282 119 20 78 221 104 136 1 72 130
New York 90 236 224 93 74 63 309 109 79 226 149 243 163 6 6 143 84 40 237 40 82 9 205 33 63 72 1 61
Minneapolis 150 217 211 158 70 65 303 166
 
285 190 248 168 57 57 184 136 47 230
 
143 66 244 65 67 129 62 1

What is Network Latency?

Network latency is the delay in time it takes information (packets) to travel from one node or location to another. This grid reveals any locations that are consistently performing slower that the average locations. Each monitoring location is situated in a Tier 3 data center with multiple pipelines connected directly to the backbone internet providers in that geographic region. Dotcom-Monitor performs thousands of tests to websites, servers and other online systems around the world each minute, so we understand the importance of backbone latency as well as the broader network latency in between the many different nodes along the path of internet traffic.

Test Network Latency

There are several interesting observations when you begin to study the network latency grid. The first to stand out is the stream of 1s diagonally down the page - this is because there is never any lag between a host and itself. You can see a similar result on your local machine by opening a command line and typing: ping localhost. The result should be <1ms which means that it takes less than one millisecond to ping itself.

You may also notice gaps in the grid, particularly between the IPv6 only locations and the locations that are IPv4 only - if the node is unable to communicate using IPv6 or does not have an IPv6 address, then no results will be shown.

Feel free to bookmark this page to come back and perform a quick check of overall internet backbone health.

Great Firewall of China

You may notice that most of the network latency results to and from the Shanghai China monitoring location are orders of magnitude higher than the rest of the locations. This is due to the amount of filtering on internet traffic by the Chinese government. In fact, there are many public websites such as Google, YouTube and Facebook that are completely blocked by the Great Firewall of China. Another reason for higher latency is due to a poorer infrastructure in China than other Western countries.

Additional Network Tools

For additional analytics feel free to navigate to the free tools section of Dotcom-Monitor where you can perform custom ping, traceroute or website speed tests. If you're here troubleshooting network latency issues with a website or server that you manage, please sign up for a free trial for 30 days and gain complete access to the entire suite of Dotcom-Monitor tools to help troubleshoot issues with your network, website availability and much more.