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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 1 259 305 64 151 158 151 50 16 201 268 254 255 77 104 64 38 155 293 109 34 101 177 137 134 27 89 121
Beijing 257 1 196 186 228
 
403
 
239 364
 
24 70 227 214 329 207 251 328 231 153 239 65 213 192 251 231 206
Sydney 305 193 1 298 156 600 250 315 282 412 373 171 113 207 231 351 281 189 11 171 294 214 156 228 149 280 212 219
Copenhagen 65 185 298 1 165
 
146 23 22 186 262 228 256 115 97 81 12 137 297 129 16 97 184 121 152 38 106 123
Seattle 151 225 156 165 1
 
412 157 148 284 218 239 124 75 69 186 157 54 185 28 140 71 127 71 19 133 58 47
IPv6 San Franciso
 
 
 
 
 
1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
149
 
 
70
 
 
 
 
Mumbai 130 403 251 148 424
 
1 151 128 308 415 372 149 211 254 169 138 275 182 263 131 222 109 409 258 138 203 233
Warsaw 51 322 315 23 157
 
155 1 44 178 266 228 252 117 106 101 27 139 308 141 37 107 194 131 166 44 100 157
Paris 16 240 282 22 148
 
130 44 1 185 254 249 235 86 78 71 15 117 278 113 18 83 197 109 134 10 87 104
Johannesburg 203 364 412 179 284
 
295 178 185 1 409 379 372 245 250 220 174 264 426 253 170 216 341 260 278 143 219 274
Buenos Aires 268 395 371 258 218
 
416 268 252 407 1 397 332 162 167 308 239 182 379 199 259 190 363 161 213 238 168 187
Shanghai 276 24 186 227 239
 
370 228 270 380
 
1 51 202 237 270 197 310 331 229 204 235 35 229 159 292 221 200
Tokyo 257 69 113 256 124
 
138 252 235 372 333 51 1 169 169 293 239 145 111 124 236 178 68 180 108 239 169 156
N. Virginia 77 227 207 116 75
 
217 117 86 247 163
 
169 1 1 151 88 32 240 36 94 15 218 27 61 83 8 29
Washington DC 104 215 230 97 69 61 316 106 78 249 168 233 170 2 1 133 83 75 304 42 83 14 245 28 69 76 7 27
Tel-Aviv 65 329 351 81 186
 
171 101 71 217 308 270 319 150 133 1 71 162 343 164 75 132 258 174 194 64 124 150
Amsterdam 37 212 281 12 157 151 137 27 15 174 240 205 239 88 83 71 1 115 288 110 9 87 176 119 134 9 77 104
Dallas 155 251 188 137 53 39 266 138 117 264 183 289 145 32 75 162 115 1 198 21 120 44 203 29 37 105 37 39
Brisbane 293 328 11 297 185 165 180 308 278 426 379 331 111 240 302 344 288 198 1 184 295 239 124 227 163 283 239 213
Denver 110 231 172 130 28 27 287 141 113 253 200 229 124 36 42 164 111 20 184 1 118 43 216 48 25 113 37 27
Frankfurt 34 153 293 16 140 149 131 36 18 170 256 211 236 94 83 75 9 120 295 118 1 92 299 129 145 17 82 112
Montreal 102 240 216 97 71
 
223 107 84 216 189 235 178 30 14 132 87 44 239 43 92 1 186 44 89 87 9 35
Hong Kong 172 57 142 185 127
 
106 194 227 341 362 33 53 225 237 258 193 203 124 169 290 186 1 345 244 223 185 225
Miami 137 229 228 120 71 72 236 133 109 250 161 223 180 27 28 165 119 29 227 49 129 44 216 1 78 104 32 42
San Francisco 146 194 147 153 20 1 266 166 135 278 214 141 108 61 69 194 134 37 163 25 146 87 163 78 1 134 66 52
London 27 251 281 39 134 133 138 44 11 143 239 292 239 83 76 64 9 105 283 113 17 87 223 104 134 1 71 98
New York 89 267
 
103 61 67 203 99 87 217 167 267 170 8 7 124 75 37 236 37 82 9 185 32 67 71 1 31
Minneapolis 119 263 220 123 47 52 231 157 103 274 189 262 156 29 27 150 104 39 213 27 112 35 225 42 52 98 31 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.