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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 1 333 323 41 165 151 110 52 17 176 248 357 272 98 97 83 33 142 315 138 35 101 197 146 155 33 99 120
Beijing 314 1 259
 
212
 
537 245 353
 
382 26 59 223 338 310 229 189 374 207 223 302 42 235 190 316 263 297
Sydney 334
 
1 305 157 147 218 317 289 458 341 260 140 217 233 328 303 187 12 175 313 216 140 225 151 278 252 224
Copenhagen 41 182 305 1 178 156 135 43 24 160 239 278 223 93 97 76 18 132 343 132 15 97 279 121 155 25 91 130
Seattle 163 214 157 182 1
 
282 157 146 269 205 192 129 63 64 188 132 53 171 30 168 78 155 71 30 143 74 54
IPv6 San Franciso
 
 
 
 
 
1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Mumbai 109 405 187 135 274
 
1 140 130 281 432 394 209 249 300 190 126 252 221 250 138 294 241 254 249 133 249 290
Warsaw 52 241 317 43 157
 
145 1 37 171 247 274 259 104 106 81 25 145 325 140 28 107 213 132 167 31 99 135
Paris 18 299 288 24 146
 
130 40 1 155 222 278 254 92 78 75 15 111 300 119 21 84 255 111 134 10 78 105
Johannesburg 178
 
459 160 268
 
281 177 155 1 373
 
424 225 228 214 145 281 449 278 156 216 350 244 302 143 212 252
Buenos Aires 248 378 342 239 205
 
437 247 222 373 1 382 310 155 150 281 230 167 356 179 233 157 343 150 204 221 148 170
Shanghai 269 25 266 275 191
 
407 207 278
 
374 1 58 230 224 350 252 188 351 196 226 229 35 247 194 292 231 228
Tokyo 273 58 140 223 129
 
234 262 254 414 310 57 1 164 175 325 254 135 124 129 255 192 54 176 111 286 187 146
AWS US-East 98 225 217 93 63
 
250 104 92 225 155 222 164 1 1 129 84 34 232 52 97 13 213 25 67 75 6 29
Washington DC 94 317 233 97 64 68 317 108 78 228 150 224 175 3 1 141 88 42 296 41 89 15 237 26 68 107 25 31
Tel-Aviv 83 310 328 76 188
 
191 83 75 214 281 305 325 129 142 1 75 166 356 162 74 135 240 159 194 67 124 161
Amsterdam 33 330 303 18 138 136 126 32 15 145 229 244 254 84 88 75 1 115 340 113 9 82 223 108 138 11 76 106
Dallas 142 193 187 132 53 41 254 145 108 281 167 188 135 34 39 166 115 1 195 22 131 44 182 35 38 110 35 31
Brisbane 319 358 12 343 171 163 216 332 300 449 356 363 124 232 292 348 340 194 1 182 298 256 127 221 159 323 226 208
Denver 138 206 175 132 30 25 249 144 110 278 179 196 129 52 41 163 113 22 182 1 130 42 179 47 25 110 44 44
Frankfurt 35 219 313 15 168 152 138 37 20 156 237 230 254 97 88 73 9 131 298 129 1 97 229 127 152 17 80 114
Montreal 101 299 216 97 77
 
254 107 84 216 156 230 192 13 16 135 82 44 256 42 93 1 232 38 89 78 8 35
Hong Kong 197 42 140 279 155
 
254 212 247 348 344 35 53 214 234 238 223 182 127 179 232 229 1 214 163 218 212 195
Miami 126 234 225 121 71 73 262 131 111 243 151 248 176 25 26 163 108 35 221 48 123 38 214 1 74 103 30 40
San Francisco 154 190 151 155 26 1 253 166 134 302 211 194 130 67 68 194 137 38 158 25 152 83 164 74 1 134 74 51
London 26 318 278 25 142 135 125 31 10 143 220 257 287 75 109 67 11 111 323 110 17 78 218 103 135 1 73 101
New York 102 277 252 90 74 73 251 99 78 214 164 232 236 27 32 126 76 35 225 42 80 8 208 30 67 74 1 32
Minneapolis 120 284 224 129 55 51 259 135 105 252 169 228 146 29 31 161 106 31 208 72 114 35 195 40 54 101 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.