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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 1 261 294 41 163 142 136 59 17 182 249 279 257 103 94 81 33 116 256 109 28 102 172 139 134 26 99 119
Beijing 261 1 230 197 190
 
441 265 243
 
371 26 115 217 218 225 177 245 334 242 169 248 48 218 163 183 226 209
Sydney 294 230 1 313 156 147 198 324 283 432 354 153 140 228 233 343 285 186 11 170 299 209 140 227 147 282 211 195
Copenhagen 51 197 313 1 170 166 156 25 22 165 244 276 208 93 97 80 18 135 268 139 18 96 186 121 158 25 95 126
Seattle 163 187 156 170 1
 
274 179 148 276 220 156 126 78 70 192 144 59 187 30 162 78 131 71 21 142 74 55
IPv6 San Franciso
 
 
 
 
 
1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Mumbai 137 441 200 156 268
 
1 166 141 295 409 414 143 270 272 334 154 267 179 263 133 279 116 292 267 272 208 275
Warsaw 59 265 324 40 178
 
170 1 42 174 272 255 292 115 111 89 26 144 285 140 33 109 193 134 164 43 112 151
Paris 17 244 283 22 148
 
141 42 1 166 228 239 256 86 78 81 15 109 252 109 14 84 202 107 134 11 75 103
Johannesburg 186
 
432 165 277
 
295 174 166 1 388
 
375 230 237 201 147 256 423 259 165 227 393 248 277 143 228 254
Buenos Aires 249 371 354 244 219
 
403 272 228 388 1 382 310 146 160 284 237 174 422 190 244 178 381 176 203 228 160 176
Shanghai 279 26 153 276 156
 
408 254 239
 
361 1 59 237 216 251 260 261 340 261 269 235 36 226 142 281 273 206
Tokyo 257 104 140 209 126
 
139 292 256 375 310 58 1 164 166 290 258 135 124 112 236 180 53 174 101 201 162 146
AWS US-East 103 220 229 93 79
 
270 115 86 231 146 232 165 1 2 131 89 29 238 49 91 14 227 26 62 77 6 27
Washington DC 94 218 234 97 70 73 273 111 78 237 160 225 166 2 1 141 86 38 306 46 83 15 238 27 63 75 5 27
Tel-Aviv 81 226 343 77 192
 
323 89 81 201 283 250 290 131 141 1 73 163 359 160 75 132 220 166 195 61 125 156
Amsterdam 33 177 287 18 144 135 153 25 15 147 236 271 258 89 86 73 1 117 261 113 10 90 180 116 137 11 76 104
Dallas 116 247 186 135 60 42 269 145 109 257 175 261 136 32 38 163 118 1 198 23 115 45 184 29 36 107 42 31
Brisbane 256 334 15 268 187 175 175 285 253 423 422 339 124 240 305 359 261 200 1 195 259 238 128 227 164 283 235 220
Denver 109 242 170 139 31 25 262 140 109 259 190 272 113 48 46 160 113 22 189 1 121 46 178 51 24 118 41 27
Frankfurt 28 169 300 18 156 155 133 33 13 166 244 271 236 91 83 75 10 112 259 121 1 95 190 124 145 24 81 115
Montreal 102 248 209 96 78
 
268 109 84 230 179 235 180 14 15 132 90 45 238 46 94 1 186 42 70 78 9 35
Hong Kong 173 51 139 186 134
 
119 193 202
 
385 35 49
 
231 243
 
188 128 178 219 194 1 221 163 222 200 196
Miami 139 218 227 121 71 67 274 134 107 248 176 226 174 25 27 166 116 29 227 51 123 42 219 1 74 103 30 40
San Francisco 134 162 148 159 22 1 261 164 135 278 203 142 101 62 63 194 137 37 164 24 144 70 163 74 1 134 63 51
London 26 182 282 25 142 134 272 43 11 143 230 280 201 77 87 61 12 107 283 118 24 78 179 103 134 1 69 98
New York 99 226 211 95 73 64 209 113 75 228 160 259 162 6 5 125 76 42 235 41 82 9 204 30 63 69 1 31
Minneapolis 119 208 195 126 55 49 263 148 103 254 176 206 146 26 27 156 104 31 219 26 115 35 200 40 51 99 37 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.