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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 1 382 327 41 163 134 223 54 17 180 261 288 287 108 94 80 35 118 318 109 35 100 195 138 134 27 102 121
Beijing 389 1 433 172 197
 
502 255 263
 
359 26 223 223 241 287 225 209 355 209 178 337 41 246
 
219 242 207
Sydney 327 416 1 327 157 147 177 314 290 458 352 213 139 212 234 336 292 188 11 175 306 217 232 225 147 284 251 231
Copenhagen 41 172 327 1 171 164 169 25 22 173 243 292 208 94 99 76 18 135 331 145 16 97 280 122 158 27 109 130
Seattle 163 191 157 171 1
 
281 174 148 288 206 204 150 79 65 190 132 53 168 30 173 78 149 71 21 147 73 54
IPv6 San Franciso
 
 
 
 
 
1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Mumbai 223 482 178 165 276
 
1 322 168 297 441 498 141 311 323 330 152 285 179 281 138 335 119 295 273 282 222 309
Warsaw 62 258 314 27 181
 
323 1 42 172 259 211 265 107 108 89 26 144 350 141 29 107 197 134 171 42 99 151
Paris 17 263 289 22 149
 
170 42 1 158 235 288 275 86 78 68 15 123 311 111 13 84 246 118 134 10 78 105
Johannesburg 176
 
458 185 289
 
296 172 158 1 375
 
415 225 228 213 145 284 463 280 157 216 325 244 304 143 212 252
Buenos Aires 260 358 352 264 207
 
442 258 226 378 1 394 310 158 150 283 228 166 368 179 244 157 344 149 207 223 149 169
Shanghai 318 26 192 291 235
 
 
211 293
 
365 1 143 458 257 302 195 191 334 164 192 326 34 273
 
265 265 192
Tokyo 274 229 139 209 150
 
142 265 255 415 310 152 1 164 171 316 254 135 124 112 261 191 53 175 109 286 175 146
AWS US-East 108 224 209 94 73
 
312 107 86 225 155 479 164 1 2 132 79 33 235 51 85 14 221 25 62 75 28 29
Washington DC 94 255 241 97 64 69 322 108 78 228 149
 
171 2 1 140 80 38 300 38 93 14 229 27 70 101 30 31
Tel-Aviv 80 370 336 76 190
 
330 89 68 213 284 307 316 132 141 1 75 171 351 161 62 135 240 160 193 67 129 160
Amsterdam 35 225 292 18 132 135 152 26 15 145 227 194 254 79 80 75 1 121 383 113 9 82 202 105 140 11 77 110
Dallas 118 213 189 138 53 50 298 144 112 284 166 190 135 33 38 168 121 1 201 22 116 43 182 35 84 107 47 31
Brisbane 318 355 11 331 168 228 180 343 302 465 379 334 124 235 296 351 383 190 1 181 304 232 126 223 170 322 224 206
Denver 109 209 175 145 30 26 281 139 113 280 185 172 112 46 38 161 113 22 183 1 121 43 179 47 25 110 43 43
Frankfurt 37
 
306 16 173 152 139 29 13 157 238 229 261 85 94 62 9 123 304 121 1 94 209 127 145 17 80 115
Montreal 100 337 217 97 78
 
335 107 84 216 157 294 191 14 14 135 82 45 232 41 94 1 228 39 81 78 9 42
Hong Kong 206 41 232 299 153
 
118 197 252 325 341 33 53 223 232 240 202 182 126 179 209 228 1 204 162 197 205 196
Miami 138 245 225 122 71 67 295 134 115 243 149 214 174 26 27 159 105 35 223 47 126 40 208 1 74 100 31 40
San Francisco 134 196 148 162 20 1 273 188 134 304 207 171 109 63 68 193 137 36 162 27 148 80 155 74 1 134 63 51
London 26 219 284 25 147 133 282 36 10 143 223 264 287 75 101 67 11 107 322 110 18 78 228 100 134 1 70 103
New York 99 243 251 95 73 64 218 99 78 212 149 239 172 6 24 131 76 39 224 40 79 9 207 30 72 69 1 32
Minneapolis 121 206 231 130 54 49 301 150 105 253 169 188 146 30 30 160 106 30 206 44 114 41 195 41 51 104 41 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.