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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 1 303 314 54 163 150 169 47 19 177 251 374 254 100 24 13 191 132 315 129 53 101 216 134 153 28 99 120
Beijing 307 1 270 241 199
 
301 316 266
 
422 43 57 248 285
 
274 207 483 207 354 297 44 251 171 443 358 295
Sydney 314 249 1 306 157 147 231 311 298 463 354 334 136 208 233 352 305 189 30 175 304 216 115 228 147 283 225 219
Copenhagen 41
 
306 1 176 151 150 18 46 160 246 286 262 93 97 70 14 133 337 148 15 94 282 121 155 26 92 126
Seattle 163 199 157 176 1
 
283 188 152 273 216 192 129 65 64 189 134 56 166 41 155 67 156 70 20 143 66 54
IPv6 San Franciso
 
 
 
 
 
1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Mumbai 169 301 231 150 281
 
1 135 133 261 453 371 216 234 291 192 124 240 220 250 135 247 117 299 256 244 232 251
Warsaw 47 266 311 18 185
 
133 1 28 179 277 313 279 103 117 82 23 144 339 137 28 101 287 126 160 36 115 140
Paris 19 306 299 20 153 138 134 31 1 149 236 203 242 99 98 58 6 107 305 114 12 81 266 106 137 9 72 108
Johannesburg 177
 
463 160 272
 
261 179 149 1 384
 
412 227 228 217 146 272 449 283 157 217 357 244 308 144 219 260
Buenos Aires 251 407 352 246 217
 
423 263 238 384 1 384 320 160 161 293 234 178 367 190 244 168 353 160 218 230 162 181
Shanghai 414 43 337 307 192
 
392 317 270
 
418 1 78 230 274
 
267 248 383 177 226 364 37 255 224 339 273 228
Tokyo 254 57 136 262 129
 
216 280 241 412 320 78 1 169 175 325 266 135 124 129 251 183 58 174 109 271 176 149
AWS US-East 100 248 206 93 64
 
234 103 99 227 161 223 169 1 1 136 79 33 236 42 93 15 215 25 64 77 6 29
Washington DC 94 275 233 97 68 72 291 126 98 228 160 234 175 1 1 144 88 39 297 40 87 14 224 26 68 75 9 29
Tel-Aviv 79 340 351 103 189
 
192 81 61 217 294 299 325 136 144 1 76 180 350 162 62 134 287 160 198 66 180 161
Amsterdam 36 283 305 14 131 139 125 23 6 146 235 312 267 79 88 76 1 115 301 113 9 82 181 109 138 9 76 109
Dallas 152 197 189 133 56 37 240 142 106 272 177 211 135 33 39 180 115 1 199 21 123 44 183 35 37 106 33 34
Brisbane 315 374 12 327 166 162 220 340 308 450 396 384 124 237 290 350 301 194 1 184 312 238 127 219 166 297 231 213
Denver 129 205 175 148 27 25 253 137 115 283 190 184 129 41 40 162 113 21 182 1 122 42 176 47 25 110 39 32
Frankfurt 53 341 304 16 155 144 136 28 11 157 244 202 250 93 87 61 9 123 312 123 1 96 232 121 144 17 81 115
Montreal 101 297 216 94 67
 
258 101 82 217 167 357 183 15 14 134 81 44 238 42 96 1 232 38 77 78 8 42
Hong Kong 216 46 116 282 156
 
95
 
266 352 352 37 58 214 228 262 182 183 128 176 231 231 1 208 156 219 219 195
Miami 134 250 228 121 69 72 300 126 106 244 160 238 173 26 26 160 109 35 219 47 121 38 208 1 74 103 30 41
San Francisco 153 160 147 155 21 1 256 160 137 308 213 192 109 64 68 196 138 36 166 25 144 77 156 74 1 134 66 52
London 28 345 283 26 142 134 244 34 7 143 232 300 271 77 76 66 9 107 297 110 17 78 219 103 134 1 69 100
New York 99 281 225 92 66 72 238 115 72 218 160 243 176 17 9 127 76 33 228 39 81 8 219 30 66 69 1 32
Minneapolis 120 273 218 126 55 51 251 141 105 252 181 237 149 29 28 153 106 34 212 32 114 41 195 41 51 100 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.