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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 N. Virginia Washington DC Tel-Aviv Amsterdam Dallas Brisbane Denver Frankfurt Montreal Hong Kong Miami San Francisco London New York Minneapolis
Madrid 1 294 313 47 149 150 161 51 17 201 241 310 244 76 100 81 34 131 252 109 36 95 434 123 133 26 81 117
Beijing 297 1 290 225 279
 
275 208 208 314 382 31 82 218 224 293 211 362 378 261 229 233 56 210 204 209 246 195
Sydney 313 314 1 278 154 155 237 293 241 372 377 180 141 210 242 325 295 197 12 175 278 211 127 219 152 262 210 250
Copenhagen 47 232 278 1 169
 
162 23 22 160 249 205 235 112 96 71 13 133 268 121 15 93 184 124 146 25 88 126
Seattle 149 279 154 168 1
 
281 164 140 267 206 274 122 76 67 201 153 50 179 45 141 68 152 71 19 142 77 47
IPv6 San Franciso
 
 
 
 
 
1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
75
 
 
 
 
Mumbai 161 283 237 162 277
 
1 172 146 321 382 252 134 243 278 187 155 283 197 286 155 235 110 256 292 158 228 251
Warsaw 52 260 293 23 165
 
172 1 40 172 248 211 265 116 105 81 28 148 309 144 33 107 194 124 174 42 106 142
Paris 17
 
241 22 140
 
146 40 1 180 228 348 273 85 78 72 16 109 250 109 23 84 188 108 134 11 72 104
Johannesburg 201 314 372 160 267
 
321 172 179 1 389 288 433 230 215 201 171 256 416 253 160 228 342 220 278 143 215 273
Buenos Aires 241 382 377 249 211
 
382 248 224 389 1 365 317 155 161 276 228 167 372 186 237 174 377 152 209 231 156 176
Shanghai 317 31 175 204 273
 
286 212 333 288 365 1 63 213 269 282 271 291 436 268 264 267 73 302 229 238 217 291
Tokyo 244 83 141 235 111
 
142 265 273 432 317 63 1 173 165 284 256 141 111 112 234 167 80 169 108 232 175 204
N. Virginia 76 215 210 104 76
 
251 449 85 230 155 213 173 1 1 136 92 32 235 36 94 16 228 27 60 102 17 28
Washington DC 100 234 242 97 67
 
282 105 78 215 161 253 165 1 1 142 81 51 296 44 83 14 218 22 62 74 13 26
Tel-Aviv 81 292 325 71 200
 
200 81 72 201 276 282 284 136 142 1 59 165 345 171 53 132 243 156 193 66 143 151
Amsterdam 33 202 295 13 146
 
153 28 16 171 228 261 256 92 81 59 1 119 256 110 10 82 185 116 134 9 80 105
Dallas 131 308 197 133 49 39 286 148 110 245 167 319 141 32 51 165 120 1 195 26 119 44 184 29 38 110 53 37
Brisbane 252 379 12 268 179 168 197 309 250 416 373 436 111 235 296 345 256 195 1 186 260 232 125 223 165 261 230 210
Denver 109 281 175 121 28 27 285 144 109 253 186 268 112 36 44 171 110 22 186 1 119 49 408 48 25 109 42 31
Frankfurt 36 217 278 15 141 153 153 33 23 160 237 253 233 94 83 53 10 119 260 118 1 90 169 109 145 17 82 112
Montreal 95 234 211 93 68
 
235 107 84 216 174 274 167 16 14 132 82 44 232 48 90 1 193 33 86 87 10 34
Hong Kong 171 42 127 184 137
 
113 194 174 342 377 85 81 215 214 243 185 184 125 163 169 193 1 218 159 205 212 202
Miami 124 215 218 124 71 75 257 124 108 234 152 303 169 27 22 156 116 29 223 47 109 33 218 1 73 105 34 42
San Francisco 134 205 153 146 20 1 292 174 134 278 209 214 108 60 61 192 134 38 164 25 145 85 161 73 1 134 67 49
London 26 206 262 25 142 133 154 42 11 143 232 241 232 88 75 66 8 109 261 109 17 87 205 105 134 1 76 99
New York 81 246 210 88 77 67 228 116 72 215
 
219 174 8 13 143 64 37 230 42 82 10 386 32 73 76 1 31
Minneapolis 117 193 251 126 48 52 251 142 106 274 176 260 205 28 26 151 104 34 210 31 112 34 202 42 49 98 30 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.