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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 1 289 326 41 163 142 227 54 18 187 251 292 272 108 105 80 33 130 317 109 34 100 253 152 134 26 90 122
Beijing 284 1 222 185 207
 
443 238 259
 
354 25
 
246 232 303 242 212 339 194 184 230 41 238 182 309 234 198
Sydney 327 222 1 318 137 147 166 314 283 455 351 153 140 221 228 336 295 192 14 170 317 215 258 226 152 282 211 194
Copenhagen 41 185 318 1 169 164 168 25 22 172 240 273 275 95 97 76 18 137 320 146 16 95 316 121 158 25 95 129
Seattle 163 208 141 169 1
 
263 176 148 311 207 185 144 78 65 186 134 53 168 39 168 77 154 71 21 141 66 54
IPv6 San Franciso
 
 
 
 
 
1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Mumbai 226 449 166 169 269
 
1 290 173 293 438 405 137 308 275 322 143 288 174 286 146 356 100 277 268 272 205 291
Warsaw 54 213 314 25 174
 
289 1 39 175 256 192 274 107 108 90 26 144 337 143 29 107 258 134 174 38 99 145
Paris 18 259 283 22 148
 
171 39 1 184 222 246 257 89 78 77 13 112 304 110 12 84 302 114 134 81 72 105
Johannesburg 187
 
455 173 311
 
294 175 184 1 393
 
371 229 240 217 160 282 446 279 192 269 218 246 305 144 206 289
Buenos Aires 251 354 351 239 207
 
438 256 222 393 1 391 310 145 150 283 226 167 368 179 239 157 342 149 206 224 150 170
Shanghai 300 25 187 287 227
 
500 214 254
 
378 1 57 496 227 349 318 200 331 189 205 237 35 217 171 362 260 223
Tokyo 272 114 139 275 144
 
137 274 257 371 310 57 1 164 171 315 262 134 124 112 236 192 53 174 109 289 172 148
AWS US-East 108 228 222 95 78
 
308 107 89 229 145 225 164 1 2 129 94 31 237 46 97 13 217 25 63 75 6 30
Washington DC 106 232 228 97 65 71 275 108 78 240 150 219 172 2 1 140 82 38 297 38 90 15 227 27 81 101 6 30
Tel-Aviv 80 303 336 76 186
 
321 89 77 216 281 270 315 129 140 1 73 162 355 161 72 134 300 159 195 67 127 156
Amsterdam 33 235 295 18 133 138 144 26 13 160 226 257 262 94 80 74 1 123 338 113 9 82 234 114 138 11 76 106
Dallas 130 214 191 137 53 41 279 144 112 282 167 190 135 30 38 162 123 1 215 23 116 45 176 30 37 112 39 31
Brisbane 317 339 12 320 168 218 174 336 303 451 368 316 124 238 294 355 338 201 1 181 308 232 126 224 162 335 224 208
Denver 109 194 170 146 30 25 276 142 110 280 180 206 112 46 38 162 113 23 189 1 119 46 179 47 25 110 40 26
Frankfurt 35
 
317 16 168 155 146 29 12 192 239 189 235 97 89 72 9 116 309 119 1 103 247 126 145 17 79 114
Montreal 100 230 215 95 77
 
326 107 84 269 157 230 192 13 15 135 82 45 232 46 103 1 256 39 80 78 9 47
Hong Kong 253 41 232 316 153
 
101 257 303 218 344 34 54 216 229 300 234 174 127 181 272 235 1 205 156 235 199 195
Miami 152 238 226 121 71 70 277 134 114 245 150 222 174 25 27 159 113 29 224 47 126 39 205 1 71 103 31 40
San Francisco 134 182 152 158 20 1 270 165 136 305 205 167 109 62 82 196 139 36 180 25 146 80 155 72 1 140 63 52
London 26 285 282 25 141 133 272 38 81 144 223 310 290 75 106 68 12 111 330 110 17 78 235 103 138 1 69 101
New York 103 236 211 96 68 65 206 99 73 206 150 219 172 6 6 127 76 39 224 40 80 9 202 53 64 69 1 32
Minneapolis 121 198 194 130 54 52 298 145 105 288 169 193 146 30 30 156 106 31 207 26 114 42 195 40 52 101 32 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.