openstatus.dev
Openstatus
www.openstatus.dev
📝 article in progress (#662)
* 📝 article in progress
* feat: add metrics and charts
* fix: mdx props
* chore: improve mobile view
* 📝 blog post
* 🏓 ping warn/cold
* chore: update data
* chore: add better caption to chart
* 📝 blog
* 📝 blog
* 📝 article in progress
---------
Co-authored-by: mxkaske <maximilian@kaske.org>
authored by
Thibault Le Ouay
mxkaske
and committed by
GitHub
73b3e614
2b8c64d6
+15054
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apps/web/public/assets/posts/monitoring-latency/all-hosting-providers.png
apps/web/public/assets/posts/monitoring-latency/all-hosting-providers.png
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apps/web/public/assets/posts/monitoring-latency/cloudflare.json
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1257
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1287
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1331
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1351
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1366
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1396
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1466
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1495
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1502
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1520
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1521
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1522
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1531
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1538
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1544
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1547
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1548
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1549
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1553
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1557
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1558
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1563
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1564
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1565
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1567
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1576
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1581
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1582
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1583
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1585
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1590
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1592
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1594
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1598
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1600
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1601
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1602
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1603
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1607
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1608
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1610
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1611
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1612
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1616
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1617
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1619
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1620
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1621
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1626
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1628
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1630
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1635
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1636
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1639
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1643
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1644
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1645
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1647
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1648
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1652
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1654
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1656
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1657
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1661
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1662
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1663
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1665
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1666
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1670
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1671
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1673
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1674
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1675
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1682
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1683
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1684
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1688
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1689
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1692
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1693
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1697
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1700
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1701
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1702
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1706
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1707
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1708
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1711
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1715
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1716
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1717
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1719
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1720
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1724
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1725
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1728
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1729
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1733
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1736
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1737
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1738
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1742
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1743
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1745
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1746
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1747
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1751
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1752
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1754
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1755
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1756
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1760
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1761
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1762
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1765
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1769
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1771
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1934
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1936
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1938
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1942
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1943
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1944
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1947
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1950
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1952
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1953
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1956
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1959
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1960
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1961
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1962
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1965
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1968
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1969
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1971
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1972
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1977
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1979
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2004
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48
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57
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71
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102
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110
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111
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120
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129
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134
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138
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156
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174
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179
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183
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192
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208
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210
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219
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228
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237
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244
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263
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273
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281
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282
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291
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299
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300
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309
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318
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326
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327
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335
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336
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345
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354
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381
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399
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{
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434
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435
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{
453
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468
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470
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471
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506
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{
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524
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533
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{
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{
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548
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550
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560
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567
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568
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569
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571
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577
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578
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579
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595
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613
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614
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1101
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1153
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1171
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1189
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1585
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1693
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1729
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1738
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1747
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1938
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1956
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apps/web/public/assets/posts/monitoring-latency/koyeb.json
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1934
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1943
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1960
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apps/web/public/assets/posts/monitoring-latency/monitor-cloudflare-workers.png
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apps/web/public/assets/posts/monitoring-latency/monitor-fly.png
apps/web/public/assets/posts/monitoring-latency/monitor-fly.png
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apps/web/public/assets/posts/monitoring-latency/monitor-koyeb.png
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apps/web/public/assets/posts/monitoring-latency/monitor-railway.png
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1200
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1269
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1286
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1297
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1331
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1333
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1351
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1371
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1377
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1378
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1396
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1521
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1522
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1531
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1538
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1547
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1548
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1549
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1557
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1558
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1576
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1585
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1594
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1601
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1602
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1603
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1619
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1621
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1628
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1635
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1648
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1657
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1664
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1665
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1666
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1674
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1675
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1684
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1693
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1700
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1701
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1702
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1706
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1728
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1729
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1736
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1737
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1738
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1933
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1934
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1938
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1942
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1943
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1944
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1947
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1953
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1956
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1960
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1961
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1962
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1965
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1968
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1969
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1970
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1972
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1979
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1986
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1987
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1996
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1997
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2004
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2005
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2026
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1296
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1322
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1331
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1349
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1350
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1351
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1366
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1377
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1386
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1405
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1548
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1549
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1558
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1602
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1619
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1635
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1648
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1656
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1657
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1674
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1675
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1693
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1700
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1728
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1747
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1756
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1765
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1774
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1917
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1929
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1933
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1934
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1935
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1936
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1938
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1940
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1941
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1942
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1943
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1944
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1945
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1947
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1950
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1951
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1952
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1953
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1956
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1958
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1959
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1960
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1961
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1962
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1965
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1968
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1969
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1970
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1971
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1972
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1977
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1979
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1985
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1986
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1987
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1988
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1996
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1997
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2004
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2005
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2024
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2026
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2374
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"iad": 192,
2375
+
"gru": 337,
2376
+
"hkg": 440
2377
+
},
2378
+
{
2379
+
"timestamp": "Feb 14, 22:00",
2380
+
"hkg": 308,
2381
+
"syd": 446,
2382
+
"jnb": 572,
2383
+
"ams": 96,
2384
+
"iad": 161,
2385
+
"gru": 352
2386
+
},
2387
+
{
2388
+
"timestamp": "Feb 14, 23:00",
2389
+
"hkg": 307,
2390
+
"gru": 306,
2391
+
"syd": 316,
2392
+
"jnb": 588,
2393
+
"ams": 87,
2394
+
"iad": 188
2395
+
},
2396
+
{
2397
+
"timestamp": "Feb 15, 00:00",
2398
+
"hkg": 355,
2399
+
"ams": 78,
2400
+
"iad": 225,
2401
+
"jnb": 557,
2402
+
"syd": 428,
2403
+
"gru": 397
2404
+
},
2405
+
{
2406
+
"timestamp": "Feb 15, 01:00",
2407
+
"hkg": 392,
2408
+
"gru": 366,
2409
+
"iad": 184,
2410
+
"ams": 78,
2411
+
"syd": 450,
2412
+
"jnb": 546
2413
+
},
2414
+
{
2415
+
"timestamp": "Feb 15, 02:00",
2416
+
"gru": 286,
2417
+
"syd": 441,
2418
+
"jnb": 589,
2419
+
"iad": 159,
2420
+
"ams": 72,
2421
+
"hkg": 317
2422
+
},
2423
+
{
2424
+
"timestamp": "Feb 15, 03:00",
2425
+
"jnb": 558,
2426
+
"syd": 377,
2427
+
"ams": 77,
2428
+
"iad": 189,
2429
+
"gru": 356,
2430
+
"hkg": 310
2431
+
},
2432
+
{
2433
+
"timestamp": "Feb 15, 04:00",
2434
+
"iad": 167,
2435
+
"ams": 70,
2436
+
"jnb": 584,
2437
+
"syd": 502,
2438
+
"gru": 327,
2439
+
"hkg": 320
2440
+
},
2441
+
{
2442
+
"timestamp": "Feb 15, 05:00",
2443
+
"hkg": 364,
2444
+
"gru": 287,
2445
+
"syd": 346,
2446
+
"jnb": 558,
2447
+
"ams": 76,
2448
+
"iad": 180
2449
+
},
2450
+
{
2451
+
"timestamp": "Feb 15, 06:00",
2452
+
"hkg": 410,
2453
+
"ams": 72,
2454
+
"iad": 220,
2455
+
"syd": 344,
2456
+
"jnb": 609,
2457
+
"gru": 307
2458
+
},
2459
+
{
2460
+
"timestamp": "Feb 15, 07:00",
2461
+
"iad": 151,
2462
+
"ams": 91,
2463
+
"jnb": 554,
2464
+
"syd": 614,
2465
+
"gru": 492,
2466
+
"hkg": 382
2467
+
},
2468
+
{
2469
+
"timestamp": "Feb 15, 08:00",
2470
+
"gru": 368,
2471
+
"ams": 85,
2472
+
"iad": 172,
2473
+
"jnb": 578,
2474
+
"syd": 382,
2475
+
"hkg": 324
2476
+
},
2477
+
{
2478
+
"timestamp": "Feb 15, 09:00",
2479
+
"gru": 588,
2480
+
"ams": 85,
2481
+
"iad": 177,
2482
+
"syd": 440,
2483
+
"jnb": 565,
2484
+
"hkg": 387
2485
+
},
2486
+
{
2487
+
"timestamp": "Feb 15, 10:00",
2488
+
"syd": 463,
2489
+
"jnb": 598,
2490
+
"ams": 95,
2491
+
"iad": 153,
2492
+
"gru": 304,
2493
+
"hkg": 374
2494
+
},
2495
+
{
2496
+
"timestamp": "Feb 15, 11:00",
2497
+
"hkg": 384,
2498
+
"jnb": 608,
2499
+
"syd": 435,
2500
+
"iad": 218,
2501
+
"ams": 90,
2502
+
"gru": 406
2503
+
},
2504
+
{
2505
+
"timestamp": "Feb 15, 12:00",
2506
+
"hkg": 358,
2507
+
"ams": 105,
2508
+
"iad": 185,
2509
+
"jnb": 570,
2510
+
"syd": 373,
2511
+
"gru": 348
2512
+
},
2513
+
{
2514
+
"timestamp": "Feb 15, 13:00",
2515
+
"hkg": 287,
2516
+
"gru": 366,
2517
+
"jnb": 618,
2518
+
"syd": 414,
2519
+
"iad": 152,
2520
+
"ams": 85
2521
+
},
2522
+
{
2523
+
"timestamp": "Feb 15, 14:00",
2524
+
"hkg": 321,
2525
+
"gru": 289,
2526
+
"jnb": 600,
2527
+
"syd": 480,
2528
+
"ams": 84,
2529
+
"iad": 165
2530
+
},
2531
+
{
2532
+
"timestamp": "Feb 15, 15:00",
2533
+
"hkg": 369,
2534
+
"syd": 467,
2535
+
"jnb": 576,
2536
+
"iad": 205,
2537
+
"ams": 91,
2538
+
"gru": 299
2539
+
},
2540
+
{
2541
+
"timestamp": "Feb 15, 16:00",
2542
+
"syd": 572,
2543
+
"jnb": 770,
2544
+
"ams": 94,
2545
+
"iad": 264,
2546
+
"gru": 378,
2547
+
"hkg": 480
2548
+
},
2549
+
{
2550
+
"timestamp": "Feb 17, 10:00",
2551
+
"hkg": 31423,
2552
+
"iad": 31244,
2553
+
"ams": 31251,
2554
+
"syd": 31331,
2555
+
"jnb": 31573,
2556
+
"gru": 31387
2557
+
},
2558
+
{
2559
+
"timestamp": "Feb 17, 11:00",
2560
+
"gru": 375,
2561
+
"jnb": 565,
2562
+
"syd": 464,
2563
+
"ams": 108,
2564
+
"iad": 192,
2565
+
"hkg": 363
2566
+
},
2567
+
{
2568
+
"timestamp": "Feb 17, 12:00",
2569
+
"syd": 441,
2570
+
"jnb": 586,
2571
+
"ams": 80,
2572
+
"iad": 154,
2573
+
"gru": 321,
2574
+
"hkg": 398
2575
+
},
2576
+
{
2577
+
"timestamp": "Feb 17, 13:00",
2578
+
"jnb": 565,
2579
+
"syd": 368,
2580
+
"ams": 89,
2581
+
"iad": 192,
2582
+
"gru": 381,
2583
+
"hkg": 266
2584
+
},
2585
+
{
2586
+
"timestamp": "Feb 17, 14:00",
2587
+
"hkg": 297,
2588
+
"syd": 375,
2589
+
"jnb": 575,
2590
+
"ams": 81,
2591
+
"iad": 153,
2592
+
"gru": 345
2593
+
},
2594
+
{
2595
+
"timestamp": "Feb 17, 15:00",
2596
+
"hkg": 325,
2597
+
"gru": 380,
2598
+
"iad": 220,
2599
+
"ams": 78,
2600
+
"syd": 347,
2601
+
"jnb": 594
2602
+
},
2603
+
{
2604
+
"timestamp": "Feb 17, 16:00",
2605
+
"hkg": 328,
2606
+
"jnb": 608,
2607
+
"syd": 487,
2608
+
"iad": 183,
2609
+
"ams": 83,
2610
+
"gru": 292
2611
+
},
2612
+
{
2613
+
"timestamp": "Feb 17, 17:00",
2614
+
"hkg": 290,
2615
+
"gru": 371,
2616
+
"syd": 465,
2617
+
"jnb": 574,
2618
+
"ams": 95,
2619
+
"iad": 163
2620
+
},
2621
+
{
2622
+
"timestamp": "Feb 17, 18:00",
2623
+
"gru": 285,
2624
+
"syd": 420,
2625
+
"jnb": 578,
2626
+
"iad": 182,
2627
+
"ams": 106,
2628
+
"hkg": 403
2629
+
},
2630
+
{
2631
+
"timestamp": "Feb 17, 19:00",
2632
+
"jnb": 647,
2633
+
"syd": 310,
2634
+
"ams": 111,
2635
+
"iad": 159,
2636
+
"gru": 296,
2637
+
"hkg": 306
2638
+
},
2639
+
{
2640
+
"timestamp": "Feb 17, 20:00",
2641
+
"hkg": 364,
2642
+
"iad": 161,
2643
+
"ams": 85,
2644
+
"syd": 482,
2645
+
"jnb": 644,
2646
+
"gru": 292
2647
+
},
2648
+
{
2649
+
"timestamp": "Feb 17, 21:00",
2650
+
"hkg": 341,
2651
+
"gru": 404,
2652
+
"syd": 438,
2653
+
"jnb": 562,
2654
+
"ams": 85,
2655
+
"iad": 160
2656
+
},
2657
+
{
2658
+
"timestamp": "Feb 17, 22:00",
2659
+
"hkg": 312,
2660
+
"gru": 354,
2661
+
"iad": 160,
2662
+
"ams": 81,
2663
+
"syd": 447,
2664
+
"jnb": 587
2665
+
},
2666
+
{
2667
+
"timestamp": "Feb 17, 23:00",
2668
+
"gru": 376,
2669
+
"ams": 79,
2670
+
"iad": 156,
2671
+
"jnb": 584,
2672
+
"syd": 452,
2673
+
"hkg": 504
2674
+
},
2675
+
{
2676
+
"timestamp": "Feb 18, 00:00",
2677
+
"jnb": 628,
2678
+
"syd": 495,
2679
+
"ams": 76,
2680
+
"iad": 161,
2681
+
"gru": 310,
2682
+
"hkg": 401
2683
+
},
2684
+
{
2685
+
"timestamp": "Feb 18, 01:00",
2686
+
"syd": 481,
2687
+
"jnb": 589,
2688
+
"ams": 78,
2689
+
"iad": 188,
2690
+
"gru": 365,
2691
+
"hkg": 297
2692
+
},
2693
+
{
2694
+
"timestamp": "Feb 18, 02:00",
2695
+
"gru": 437,
2696
+
"syd": 519,
2697
+
"jnb": 558,
2698
+
"iad": 154,
2699
+
"ams": 74,
2700
+
"hkg": 363
2701
+
},
2702
+
{
2703
+
"timestamp": "Feb 18, 03:00",
2704
+
"hkg": 289,
2705
+
"gru": 393,
2706
+
"jnb": 608,
2707
+
"syd": 460,
2708
+
"ams": 77,
2709
+
"iad": 150
2710
+
},
2711
+
{
2712
+
"timestamp": "Feb 18, 04:00",
2713
+
"hkg": 302,
2714
+
"ams": 74,
2715
+
"iad": 152,
2716
+
"jnb": 566,
2717
+
"syd": 370,
2718
+
"gru": 323
2719
+
},
2720
+
{
2721
+
"timestamp": "Feb 18, 05:00",
2722
+
"gru": 361,
2723
+
"syd": 335,
2724
+
"jnb": 582,
2725
+
"iad": 186,
2726
+
"ams": 76,
2727
+
"hkg": 338
2728
+
},
2729
+
{
2730
+
"timestamp": "Feb 18, 06:00",
2731
+
"gru": 485,
2732
+
"ams": 80,
2733
+
"iad": 185,
2734
+
"syd": 444,
2735
+
"jnb": 554,
2736
+
"hkg": 320
2737
+
},
2738
+
{
2739
+
"timestamp": "Feb 18, 07:00",
2740
+
"iad": 150,
2741
+
"ams": 83,
2742
+
"jnb": 563,
2743
+
"syd": 346,
2744
+
"gru": 410,
2745
+
"hkg": 423
2746
+
},
2747
+
{
2748
+
"timestamp": "Feb 18, 08:00",
2749
+
"hkg": 303,
2750
+
"jnb": 559,
2751
+
"syd": 416,
2752
+
"iad": 147,
2753
+
"ams": 94,
2754
+
"gru": 365
2755
+
},
2756
+
{
2757
+
"timestamp": "Feb 18, 09:00",
2758
+
"gru": 310,
2759
+
"ams": 84,
2760
+
"iad": 149,
2761
+
"syd": 449,
2762
+
"jnb": 564,
2763
+
"hkg": 402
2764
+
},
2765
+
{
2766
+
"timestamp": "Feb 18, 10:00",
2767
+
"syd": 508,
2768
+
"jnb": 570,
2769
+
"iad": 177,
2770
+
"ams": 97,
2771
+
"gru": 317,
2772
+
"hkg": 380
2773
+
},
2774
+
{
2775
+
"timestamp": "Feb 18, 11:00",
2776
+
"gru": 2272,
2777
+
"jnb": 2497,
2778
+
"syd": 2356,
2779
+
"ams": 2135,
2780
+
"iad": 2157,
2781
+
"hkg": 2367
2782
+
},
2783
+
{
2784
+
"timestamp": "Feb 18, 12:00",
2785
+
"hkg": 317,
2786
+
"gru": 504,
2787
+
"ams": 117,
2788
+
"iad": 151,
2789
+
"jnb": 621,
2790
+
"syd": 330
2791
+
},
2792
+
{
2793
+
"timestamp": "Feb 18, 13:00",
2794
+
"hkg": 20398,
2795
+
"jnb": 20505,
2796
+
"syd": 20479,
2797
+
"iad": 20369,
2798
+
"ams": 20298,
2799
+
"gru": 20304
2800
+
},
2801
+
{
2802
+
"timestamp": "Feb 18, 14:00",
2803
+
"hkg": 321,
2804
+
"ams": 101,
2805
+
"iad": 181,
2806
+
"jnb": 603,
2807
+
"syd": 373,
2808
+
"gru": 312
2809
+
},
2810
+
{
2811
+
"timestamp": "Feb 18, 15:00",
2812
+
"hkg": 321,
2813
+
"syd": 578,
2814
+
"jnb": 587,
2815
+
"ams": 97,
2816
+
"iad": 150,
2817
+
"gru": 491
2818
+
},
2819
+
{
2820
+
"timestamp": "Feb 18, 16:00",
2821
+
"hkg": 314,
2822
+
"gru": 313,
2823
+
"ams": 101,
2824
+
"iad": 181,
2825
+
"syd": 441,
2826
+
"jnb": 577
2827
+
},
2828
+
{
2829
+
"timestamp": "Feb 18, 17:00",
2830
+
"jnb": 589,
2831
+
"syd": 364,
2832
+
"ams": 95,
2833
+
"iad": 158,
2834
+
"gru": 468,
2835
+
"hkg": 439
2836
+
},
2837
+
{
2838
+
"timestamp": "Feb 18, 18:00",
2839
+
"gru": 285,
2840
+
"jnb": 588,
2841
+
"syd": 698,
2842
+
"iad": 206,
2843
+
"ams": 104,
2844
+
"hkg": 394
2845
+
}
2846
+
]
2847
+
},
2848
+
"metricsByRegion": [
2849
+
{
2850
+
"region": "syd",
2851
+
"avgLatency": 949,
2852
+
"p75Latency": 433,
2853
+
"p90Latency": 828,
2854
+
"p95Latency": 945,
2855
+
"p99Latency": 16696
2856
+
},
2857
+
{
2858
+
"region": "gru",
2859
+
"avgLatency": 873,
2860
+
"p75Latency": 370,
2861
+
"p90Latency": 663,
2862
+
"p95Latency": 753,
2863
+
"p99Latency": 15979
2864
+
},
2865
+
{
2866
+
"region": "iad",
2867
+
"avgLatency": 690,
2868
+
"p75Latency": 165,
2869
+
"p90Latency": 312,
2870
+
"p95Latency": 343,
2871
+
"p99Latency": 16552
2872
+
},
2873
+
{
2874
+
"region": "ams",
2875
+
"avgLatency": 607,
2876
+
"p75Latency": 95,
2877
+
"p90Latency": 111,
2878
+
"p95Latency": 127,
2879
+
"p99Latency": 16675
2880
+
},
2881
+
{
2882
+
"region": "hkg",
2883
+
"avgLatency": 866,
2884
+
"p75Latency": 384,
2885
+
"p90Latency": 655,
2886
+
"p95Latency": 746,
2887
+
"p99Latency": 16681
2888
+
},
2889
+
{
2890
+
"region": "jnb",
2891
+
"avgLatency": 1096,
2892
+
"p75Latency": 587,
2893
+
"p90Latency": 706,
2894
+
"p95Latency": 730,
2895
+
"p99Latency": 16295
2896
+
}
2897
+
]
2898
+
}
+2
-1
apps/web/src/app/app/[workspaceSlug]/(dashboard)/monitors/[id]/_components/metrics-card.tsx
+2
-1
apps/web/src/app/app/[workspaceSlug]/(dashboard)/monitors/[id]/_components/metrics-card.tsx
+10
-3
apps/web/src/app/app/[workspaceSlug]/(dashboard)/monitors/[id]/overview/_components/region-table.tsx
+10
-3
apps/web/src/app/app/[workspaceSlug]/(dashboard)/monitors/[id]/overview/_components/region-table.tsx
···
13
13
import { formatNumber } from "../../_components/metrics-card";
14
14
import { SimpleChart } from "./simple-chart";
15
15
16
-
interface Props {
16
+
export interface RegionTableProps {
17
17
regions: Region[];
18
18
data: {
19
19
regions: Region[];
20
20
data: (Partial<Record<Region, string>> & { timestamp: string })[];
21
21
};
22
22
metricsByRegion: ResponseTimeMetricsByRegion[];
23
+
caption?: string;
23
24
}
24
25
25
-
export function RegionTable({ regions, data, metricsByRegion }: Props) {
26
+
export function RegionTable({
27
+
regions,
28
+
data,
29
+
metricsByRegion,
30
+
caption = "A list of your regions.",
31
+
}: RegionTableProps) {
32
+
// console.log(JSON.stringify({ regions, data, metricsByRegion }, null, 2));
26
33
return (
27
34
<Table>
28
-
<TableCaption>A list of your regions.</TableCaption>
35
+
<TableCaption>{caption}</TableCaption>
29
36
<TableHeader>
30
37
<TableRow>
31
38
<TableHead className="w-[100px]">Region</TableHead>
+2
-2
apps/web/src/app/app/[workspaceSlug]/(dashboard)/monitors/[id]/overview/_components/simple-chart.tsx
+2
-2
apps/web/src/app/app/[workspaceSlug]/(dashboard)/monitors/[id]/overview/_components/simple-chart.tsx
···
5
5
6
6
import { dataFormatter } from "./utils";
7
7
8
-
interface ChartProps {
8
+
export interface SimpleChartProps {
9
9
data: { timestamp: string; [key: string]: string }[];
10
10
region: string;
11
11
}
12
12
13
-
export function SimpleChart({ data, region }: ChartProps) {
13
+
export function SimpleChart({ data, region }: SimpleChartProps) {
14
14
return (
15
15
<LineChart
16
16
data={data}
+51
-2
apps/web/src/components/content/mdx-components.tsx
+51
-2
apps/web/src/components/content/mdx-components.tsx
···
5
5
import type { TweetProps } from "react-tweet";
6
6
import { Tweet } from "react-tweet";
7
7
8
+
import {
9
+
Table,
10
+
TableBody,
11
+
TableCell,
12
+
TableFooter,
13
+
TableHead,
14
+
TableHeader,
15
+
TableRow,
16
+
} from "@openstatus/ui";
17
+
18
+
import { MetricsCard } from "@/app/app/[workspaceSlug]/(dashboard)/monitors/[id]/_components/metrics-card";
19
+
import type { MetricsCardProps } from "@/app/app/[workspaceSlug]/(dashboard)/monitors/[id]/_components/metrics-card";
20
+
import type { SimpleChartProps } from "./simple-chart";
21
+
import { SimpleChart } from "./simple-chart";
22
+
8
23
export const components = {
9
24
a: ({
10
25
href = "",
···
37
52
</div>
38
53
);
39
54
},
40
-
Image: (props: ImageProps) => {
41
-
return <Image {...props} />;
55
+
Image: (props: ImageProps) => <Image {...props} />,
56
+
MetricsCard: (props: MetricsCardProps) => {
57
+
return (
58
+
// remove prose class from cards
59
+
<div className="not-prose">
60
+
<MetricsCard {...props} />
61
+
</div>
62
+
);
63
+
},
64
+
SimpleChart: (props: SimpleChartProps) => {
65
+
return (
66
+
<div className="not-prose">
67
+
<SimpleChart {...props} />
68
+
</div>
69
+
);
42
70
},
71
+
table: (props: React.HTMLAttributes<HTMLTableElement>) => (
72
+
<Table {...props} />
73
+
),
74
+
thead: (props: React.HTMLAttributes<HTMLTableSectionElement>) => (
75
+
<TableHeader {...props} />
76
+
),
77
+
tbody: (props: React.HTMLAttributes<HTMLTableSectionElement>) => (
78
+
<TableBody {...props} />
79
+
),
80
+
tfoot: (props: React.HTMLAttributes<HTMLTableSectionElement>) => (
81
+
<TableFooter {...props} />
82
+
),
83
+
tr: (props: React.HTMLAttributes<HTMLTableRowElement>) => (
84
+
<TableRow {...props} />
85
+
),
86
+
th: (props: React.ThHTMLAttributes<HTMLTableCellElement>) => (
87
+
<TableHead {...props} />
88
+
),
89
+
td: (props: React.TdHTMLAttributes<HTMLTableCellElement>) => (
90
+
<TableCell {...props} />
91
+
),
43
92
};
+33
apps/web/src/components/content/simple-chart.tsx
+33
apps/web/src/components/content/simple-chart.tsx
···
1
+
"use client";
2
+
3
+
import { useEffect, useState } from "react";
4
+
5
+
import type { RegionTableProps } from "@/app/app/[workspaceSlug]/(dashboard)/monitors/[id]/overview/_components/region-table";
6
+
import { RegionTable } from "@/app/app/[workspaceSlug]/(dashboard)/monitors/[id]/overview/_components/region-table";
7
+
8
+
export interface SimpleChartProps {
9
+
staticFile: string;
10
+
caption?: string;
11
+
}
12
+
13
+
export function SimpleChart({ staticFile, caption }: SimpleChartProps) {
14
+
const [data, setData] = useState<RegionTableProps | undefined>(undefined);
15
+
16
+
useEffect(() => {
17
+
const fetchData = async () => {
18
+
try {
19
+
const response = await fetch(staticFile);
20
+
const jsonData = await response.json();
21
+
setData(jsonData);
22
+
} catch (error) {
23
+
console.error("Error fetching data:", error);
24
+
}
25
+
};
26
+
27
+
fetchData();
28
+
}, [staticFile]);
29
+
30
+
if (!data) return null;
31
+
32
+
return <RegionTable {...data} caption={caption} />;
33
+
}
+466
apps/web/src/content/posts/monitoring-latency-cf-workers-fly-koyeb-raylway-render.mdx
+466
apps/web/src/content/posts/monitoring-latency-cf-workers-fly-koyeb-raylway-render.mdx
···
1
+
---
2
+
title:
3
+
"Monitoring latency: Cloudflare Workers vs Fly vs Koyeb vs Railway vs Render"
4
+
description:
5
+
Want to know which providers offer the lowest latency? We set up a simple Hono
6
+
server on Cloudflare Workers, Fly, Koyeb, Railway, and Render to compare their
7
+
latency using OpenStatus.
8
+
author:
9
+
name: Thibault Le Ouay Ducasse
10
+
url: https://twitter.com/thibaultleouay
11
+
publishedAt: 2024-02-19
12
+
image: /assets/posts/monitoring-latency/all-hosting-providers.png
13
+
---
14
+
15
+
You want to know which cloud providers offer the lowest latency?
16
+
17
+
In this post, I compare the latency of
18
+
[Cloudflare Workers](#cloudflare-workers), [Fly](#flyio), [Koyeb](#koyeb),
19
+
[Railway](#railway) and [Render](#render) using
20
+
[OpenStatus](https://www.openstatus.dev).
21
+
22
+
I deployed the application on the cheapest or free tier offered by each
23
+
provider.
24
+
25
+
For this test, I used a basic [Hono](https://hono.dev) server that returns a
26
+
simple text response.
27
+
28
+
```js
29
+
const app = new Hono();
30
+
app.use("*", logger());
31
+
32
+
app.use("*", poweredBy());
33
+
34
+
app.get("/", (c) => {
35
+
return c.text(
36
+
"Just return the desired http status code, e.g. /404 🤯 \nhttps://www.openstatus.dev",
37
+
);
38
+
});
39
+
```
40
+
41
+
You can find the code [here](https://github.com/openstatusHQ/status-code]), it’s
42
+
open source 😉.
43
+
44
+
OpenStatus monitored our endpoint every **10 minutes** from **6 locations**
45
+
located in Amsterdam, Ashburn, Hong Kong, Johannesburg, Sao Paulo and Sydney.
46
+
47
+
It's a good way to test our own product and improve it.
48
+
49
+
Let's analyze the data from the past two weeks.
50
+
51
+
## Cloudflare workers
52
+
53
+
Cloudflare Workers is a serverless platform by Cloudflare. It lets you build new
54
+
applications using JavaScript/Typescript. You can deploy up to 100 worker
55
+
scripts for free, running on more than 275 network locations.
56
+
57
+
### Latency metrics
58
+
59
+
<div className="grid grid-cols-2 gap-4 sm:grid-cols-3 md:grid-cols-5">
60
+
<MetricsCard title="uptime" value={100} suffix="%" variant="positive" />
61
+
<MetricsCard title="fails" value={0} suffix="#" variant="negative" />
62
+
<MetricsCard title="total pings" value={10956} suffix="#" variant="info" />
63
+
<div className="hidden md:col-span-2 md:block" />
64
+
<MetricsCard title="avg" value={182} suffix="ms" />
65
+
<MetricsCard title="p75" value={138} suffix="ms" />
66
+
<MetricsCard title="p90" value={695} suffix="ms" />
67
+
<MetricsCard title="p95" value={778} suffix="ms" />
68
+
<MetricsCard title="p99" value={991} suffix="ms" />
69
+
</div>
70
+
71
+
<div className="mt-4">
72
+
<SimpleChart
73
+
staticFile="/assets/posts/monitoring-latency/cloudflare.json"
74
+
caption="Cloudflare avg. latency between 04. Feb and 18. Feb 2024 aggregated in a 1h window."
75
+
/>
76
+
</div>
77
+
78
+
### Timing metrics
79
+
80
+
| Region | DNS (ms) | Connection (ms) | TLS Handshake (ms) | TTFB (ms) | Transfert (ms) |
81
+
| ------ | -------- | --------------- | ------------------ | --------- | -------------- |
82
+
| AMS | 17 | 2 | 17 | 27 | 0 |
83
+
| GRU | 38 | 2 | 13 | 28 | 0 |
84
+
| HKG | 19 | 2 | 13 | 29 | 0 |
85
+
| IAD | 24 | 1 | 14 | 30 | 0 |
86
+
| JNB | 123 | 168 | 182 | 185 | 0 |
87
+
| SYD | 51 | 1 | 11 | 25 | 0 |
88
+
89
+
I can notice that Johannesburg's latency is about ten times higher than that of
90
+
the other monitors.
91
+
92
+
### Headers
93
+
94
+
From the Cloudflare request I can get the location of the workers that handle
95
+
the request, with `Cf-ray` in the headers response.
96
+
97
+
| Checker region | Workers region | number of request |
98
+
| -------------- | -------------- | ----------------- |
99
+
| HKG | HKG | 1831 |
100
+
| SYD | SYD | 1831 |
101
+
| AMS | AMS | 1831 |
102
+
| IAD | IAD | 1831 |
103
+
| GRU | GRU | 1791 |
104
+
| GRU | GIG | 40 |
105
+
| JNB | AMS | 741 |
106
+
| JNB | MUC | 4 |
107
+
| JNB | HKG | 5 |
108
+
| JNB | SIN | 6 |
109
+
| JNB | NRT | 8 |
110
+
| JNB | EWR | 10 |
111
+
| JNB | CDG | 82 |
112
+
| JNB | FRA | 276 |
113
+
| JNB | LHR | 699 |
114
+
| JNB | AMS | 741 |
115
+
116
+
I can see all the request from JNB is never routed to a nearby data-center.
117
+
118
+
Apart from the strange routing error in Johannesburg, Cloudflare workers are
119
+
fast worldwide.
120
+
121
+
I have not experienced any cold start issues.
122
+
123
+
## Fly.io
124
+
125
+
Fly.io simplifies deploying and running server-side applications globally.
126
+
Developers can deploy their applications near users worldwide for low latency
127
+
and high performance. It uses a lightweight Firecracker VM to easily deploy
128
+
Docker images.
129
+
130
+
### Latency metrics
131
+
132
+
<div className="grid grid-cols-2 gap-4 sm:grid-cols-3 md:grid-cols-5">
133
+
<MetricsCard title="uptime" value={100} suffix="%" variant="positive" />
134
+
<MetricsCard title="fails" value={0} suffix="#" variant="negative" />
135
+
<MetricsCard title="total pings" value={10952} suffix="#" variant="info" />
136
+
<div className="hidden md:col-span-2 md:block" />
137
+
<MetricsCard title="avg" value={1471} suffix="ms" />
138
+
<MetricsCard title="p75" value={1514} suffix="ms" />
139
+
<MetricsCard title="p90" value={1555} suffix="ms" />
140
+
<MetricsCard title="p95" value={1626} suffix="ms" />
141
+
<MetricsCard title="p99" value={2547} suffix="ms" />
142
+
</div>
143
+
144
+
<div className="mt-4">
145
+
<SimpleChart
146
+
staticFile="/assets/posts/monitoring-latency/fly.json"
147
+
caption="Fly avg. latency between 04. Feb and 18. Feb 2024 aggregated in a 1h window."
148
+
/>
149
+
</div>
150
+
151
+
### Timing metrics
152
+
153
+
| Region | DNS (ms) | Connection (ms) | TLS Handshake (ms) | TTFB (ms) | Transfert (ms) |
154
+
| ------ | -------- | --------------- | ------------------ | --------- | -------------- |
155
+
| AMS | 6 | 1 | 8 | 1469 | 0 |
156
+
| GRU | 5 | 0 | 4 | 1431 | 0 |
157
+
| HKG | 4 | 0 | 5 | 1473 | 0 |
158
+
| IAD | 3 | 0 | 5 | 1470 | 0 |
159
+
| JNB | 24 | 0 | 5 | 1423 | 0 |
160
+
| SYD | 3 | 0 | 3 | 1489 | 0 |
161
+
162
+
The DNS is fast, our checker is attempting to connect to a region in the same
163
+
data center, but our machine's cold start is slowing us down, leading to the
164
+
high TTFB.
165
+
166
+
Here’s our config for Fly.io:
167
+
168
+
```toml
169
+
app = 'statuscode'
170
+
primary_region = 'ams'
171
+
172
+
[build]
173
+
dockerfile = "./Dockerfile"
174
+
175
+
[http_service]
176
+
internal_port = 3000
177
+
force_https = true
178
+
auto_stop_machines = true
179
+
auto_start_machines = true
180
+
min_machines_running = 0
181
+
processes = ['app']
182
+
183
+
[[vm]]
184
+
cpu_kind = 'shared'
185
+
cpus = 1
186
+
memory_mb = 256
187
+
```
188
+
189
+
The primary region of our server is Amsterdam, and the fly instances is getting
190
+
paused after a period of inactivity.
191
+
192
+
The machine starts slowly, as indicated by the logs showing a start time of
193
+
`1.513643778s.`
194
+
195
+
```
196
+
2024-02-14T11:24:16.107 proxy[286560ea703108] ams [info] Starting machine
197
+
198
+
2024-02-14T11:24:16.322 app[286560ea703108] ams [info] [ 0.035736] PCI: Fatal: No config space access function found
199
+
200
+
2024-02-14T11:24:16.533 app[286560ea703108] ams [info] INFO Starting init (commit: bfa79be)...
201
+
202
+
2024-02-14T11:24:16.546 app[286560ea703108] ams [info] INFO Preparing to run: `/usr/local/bin/docker-entrypoint.sh bun start` as root
203
+
204
+
2024-02-14T11:24:16.558 app[286560ea703108] ams [info] INFO [fly api proxy] listening at /.fly/api
205
+
206
+
2024-02-14T11:24:16.565 app[286560ea703108] ams [info] 2024/02/14 11:24:16 listening on [fdaa:3:2ef:a7b:10c:3c9a:5b4:2]:22 (DNS: [fdaa::3]:53)
207
+
208
+
2024-02-14T11:24:16.611 app[286560ea703108] ams [info] $ bun src/index.ts
209
+
210
+
2024-02-14T11:24:16.618 runner[286560ea703108] ams [info] Machine started in 460ms
211
+
212
+
2024-02-14T11:24:17.621 proxy[286560ea703108] ams [info] machine started in 1.513643778s
213
+
214
+
2024-02-14T11:24:17.628 proxy[286560ea703108] ams [info] machine became reachable in 7.03669ms
215
+
```
216
+
217
+
#### OpenStatus Prod metrics
218
+
219
+
If you update your fly.toml file to include the following, you can get the zero
220
+
cold start and achieve a better latency.
221
+
222
+
```
223
+
min_machines_running = 1
224
+
```
225
+
226
+
This is our data for our production server deploy on Fly.io.
227
+
228
+
<div className="grid grid-cols-2 gap-4 sm:grid-cols-3 md:grid-cols-5">
229
+
<MetricsCard title="uptime" value={100} suffix="%" variant="positive" />
230
+
<MetricsCard title="fails" value={0} suffix="#" variant="negative" />
231
+
<MetricsCard title="total pings" value={12076} suffix="#" variant="info" />
232
+
<div className="hidden md:col-span-2 md:block" />
233
+
<MetricsCard title="avg" value={61} suffix="ms" />
234
+
<MetricsCard title="p75" value={67} suffix="ms" />
235
+
<MetricsCard title="p90" value={164} suffix="ms" />
236
+
<MetricsCard title="p95" value={198} suffix="ms" />
237
+
<MetricsCard title="p99" value={327} suffix="ms" />
238
+
</div>
239
+
240
+
> We use Fly.io in production, and the machine never sleeps, yielding much
241
+
> better results.
242
+
243
+
## Koyeb
244
+
245
+
Koyeb is a developer-friendly serverless platform that allows for global app
246
+
deployment without the need for operations, servers, or infrastructure
247
+
management. Koyeb offers a free Starter plan that includes one Web Service, one
248
+
Database service. The platform focuses on ease of deployment and scalability for
249
+
developers
250
+
251
+
### Latency metrics
252
+
253
+
<div className="grid grid-cols-2 gap-4 sm:grid-cols-3 md:grid-cols-5">
254
+
<MetricsCard title="uptime" value={100} suffix="%" variant="positive" />
255
+
<MetricsCard title="fails" value={0} suffix="#" variant="negative" />
256
+
<MetricsCard title="total pings" value={10955} suffix="#" variant="info" />
257
+
<div className="hidden md:col-span-2 md:block" />
258
+
<MetricsCard title="avg" value={539} suffix="ms" />
259
+
<MetricsCard title="p75" value={738} suffix="ms" />
260
+
<MetricsCard title="p90" value={881} suffix="ms" />
261
+
<MetricsCard title="p95" value={1013} suffix="ms" />
262
+
<MetricsCard title="p99" value={1525} suffix="ms" />
263
+
</div>
264
+
265
+
<div className="mt-4">
266
+
<SimpleChart
267
+
staticFile="/assets/posts/monitoring-latency/koyeb.json"
268
+
caption="Koyeb avg. latency between 04. Feb and 18. Feb 2024."
269
+
/>
270
+
</div>
271
+
272
+
### Timing metrics
273
+
274
+
| Region | DNS (ms) | Connection (ms) | TLS Handshake (ms) | TTFB (ms) | Transfert (ms) |
275
+
| ------ | -------- | --------------- | ------------------ | --------- | -------------- |
276
+
| AMS | 50 | 2 | 17 | 107 | 0 |
277
+
| GRU | 139 | 65 | 75 | 407 | 0 |
278
+
| HKG | 48 | 2 | 13 | 321 | 0 |
279
+
| IAD | 35 | 1 | 12 | 129 | 0 |
280
+
| JNB | 298 | 1 | 11 | 720 | 0 |
281
+
| SYD | 97 | 1 | 10 | 711 | 0 |
282
+
283
+
### Headers
284
+
285
+
The request headers show that none of our requests are cached. They contain
286
+
`cf-cache-status: dynamic`. Cloudflare handles the Koyeb edge layer.
287
+
https://www.koyeb.com/blog/building-a-multi-region-service-mesh-with-kuma-envoy-anycast-bgp-and-mtls
288
+
289
+
Our requests follow this route:
290
+
291
+
```
292
+
Cf workers -> koyeb Global load balancer -> koyeb backend
293
+
```
294
+
295
+
Let’s see where did we hit the cf workers
296
+
297
+
| Checker region | Workers region | number of request |
298
+
| -------------- | -------------- | ----------------- |
299
+
| AMS | AMS | 1866 |
300
+
| GRU | GRU | 504 |
301
+
| GRU | IAD | 38 |
302
+
| GRU | MIA | 688 |
303
+
| GRU | EWR | 337 |
304
+
| GRU | CIG | 299 |
305
+
| HKG | HKG | 1866 |
306
+
| IAD | IAD | 1866 |
307
+
| JNB | JNB | 1861 |
308
+
| JNB | AMS | 1 |
309
+
| SYD | SYD | 1866 |
310
+
311
+
Koyeb Global Load Balancer region we hit:
312
+
313
+
| Checker region | Koyeb Global Load Balancer | number of request |
314
+
| -------------- | -------------------------- | ----------------- |
315
+
| AMS | FRA1 | 1866 |
316
+
| GRU | WAS1 | 1866 |
317
+
| HKG | SIN1 | 1866 |
318
+
| IAD | WAS1 | 1866 |
319
+
| JNB | PAR1 | 4 |
320
+
| JNB | SIN1 | 1864 |
321
+
| JNB | FRA1 | 1 |
322
+
| JNB | SIN1 | 1866 |
323
+
324
+
I have deployed our app in the Frankfurt data-center.
325
+
326
+
## Railway
327
+
328
+
Railway is a cloud platform designed for building, shipping, and monitoring
329
+
applications without the need for Platform Engineers. It simplifies the
330
+
application development process by offering seamless deployment and monitoring
331
+
capabilities.
332
+
333
+
### Latency metrics
334
+
335
+
<div className="grid grid-cols-2 gap-4 sm:grid-cols-3 md:grid-cols-5">
336
+
<MetricsCard title="uptime" value={99.991} suffix="%" variant="positive" />
337
+
<MetricsCard title="fails" value={1} suffix="#" variant="negative" />
338
+
<MetricsCard title="total pings" value={10955} suffix="#" variant="info" />
339
+
<div className="hidden md:col-span-2 md:block" />
340
+
<MetricsCard title="avg" value={381} suffix="ms" />
341
+
<MetricsCard title="p75" value={469} suffix="ms" />
342
+
<MetricsCard title="p90" value={653} suffix="ms" />
343
+
<MetricsCard title="p95" value={661} suffix="ms" />
344
+
<MetricsCard title="p99" value={850} suffix="ms" />
345
+
</div>
346
+
347
+
<div className="mt-4">
348
+
<SimpleChart
349
+
staticFile="/assets/posts/monitoring-latency/railway.json"
350
+
caption="Railway avg. latency between 04. Feb and 18. Feb 2024 aggregated in a 1h window."
351
+
/>
352
+
</div>
353
+
354
+
### Timing metrics
355
+
356
+
| Region | DNS (ms) | Connection (ms) | TLS Handshake (ms) | TTFB (ms) | Transfert (ms) |
357
+
| ------ | -------- | --------------- | ------------------ | --------- | -------------- |
358
+
| AMS | 9 | 21 | 18 | 158 | 0 |
359
+
| GRU | 14 | 115 | 127 | 178 | 0 |
360
+
| HKG | 8 | 45 | 54 | 225 | 0 |
361
+
| IAD | 7 | 2 | 14 | 65 | 0 |
362
+
| JNB | 18 | 193 | 178 | 319 | 0 |
363
+
| SYD | 21 | 108 | 105 | 280 | 0 |
364
+
365
+
### Headers
366
+
367
+
The headers don't provide any information.
368
+
369
+
Railway is using Google Cloud Platform. It’s the only service that does not
370
+
allow us to pick a specific region on the free plan. Our test app will be
371
+
located to `us-west1` Portland, Oregon. We can see that the latency is the
372
+
lowest in IAD.
373
+
374
+
By default our app did not scale down to 0. It was always running. We don't have
375
+
any cold start.
376
+
377
+
## Render
378
+
379
+
Render is a platform that simplifies deploying and scaling web applications and
380
+
services. It offers features like automated SSL, automatic scaling, native
381
+
support for popular frameworks, and one-click deployments from Git. The platform
382
+
focuses on simplicity and developer productivity.
383
+
384
+
### Latency metrics
385
+
386
+
<div className="grid grid-cols-2 gap-4 sm:grid-cols-3 md:grid-cols-5">
387
+
<MetricsCard title="uptime" value={99.89} suffix="%" variant="positive" />
388
+
<MetricsCard title="fails" value={12} suffix="#" variant="negative" />
389
+
<MetricsCard title="total pings" value={10946} suffix="#" variant="info" />
390
+
<div className="hidden md:col-span-2 md:block" />
391
+
<MetricsCard title="avg" value={451} suffix="ms" />
392
+
<MetricsCard title="p75" value={447} suffix="ms" />
393
+
<MetricsCard title="p90" value={591} suffix="ms" />
394
+
<MetricsCard title="p95" value={707} suffix="ms" />
395
+
<MetricsCard title="p99" value={902} suffix="ms" />
396
+
</div>
397
+
398
+
<div className="mt-4">
399
+
<SimpleChart
400
+
staticFile="/assets/posts/monitoring-latency/render.json"
401
+
caption="Render avg. latency between 04. Feb and 18. Feb 2024 aggregated in a 1h window."
402
+
/>
403
+
</div>
404
+
405
+
### Timing metrics
406
+
407
+
| Region | DNS (ms) | Connection (ms) | TLS Handshake (ms) | TTFB (ms) | Transfert (ms) |
408
+
| ------ | -------- | --------------- | ------------------ | --------- | -------------- |
409
+
| AMS | 20 | 2 | 7 | 107 | 0 |
410
+
| GRU | 61 | 2 | 6 | 407 | 0 |
411
+
| HKG | 76 | 2 | 6 | 321 | 0 |
412
+
| IAD | 15 | 1 | 5 | 129 | 0 |
413
+
| JNB | 36 | 161 | 167 | 720 | 0 |
414
+
| SYD | 103 | 1 | 4 | 711 | 0 |
415
+
416
+
### Headers
417
+
418
+
The headers don't provide any information.
419
+
420
+
I have deployed our app in the Frankfurt data-center.
421
+
422
+
According to the Render docs, the free tier will shut down the service after 15
423
+
minutes of inactivity. However, our app is being accessed by a monitor every 10
424
+
minutes. We should never scale down to 0.
425
+
426
+
```
427
+
Render spins down a Free web service that goes 15 minutes without receiving inbound traffic. Render spins the service back up whenever it next receives a request to process.
428
+
```
429
+
430
+
I think the failures are due to the cold start of our app. We have a default
431
+
timeout of 30s and the render app takes up to 50s to start.We might have hit an
432
+
inflection point between cold and warm.
433
+
434
+
## Conclusion
435
+
436
+
Here are the results of our test:
437
+
438
+
| Provider | Uptime | Fails Ping | Total Pings | AVG latency (ms) | P75 (ms) | P90 (ms) | P95 (ms) | P99 (ms) |
439
+
| ---------- | ------ | ---------- | ----------- | ---------------- | -------- | -------- | -------- | -------- |
440
+
| CF Workers | 100 | 0 | 10,956 | 182 | 138 | 690 | 778 | 991 |
441
+
| Fly.io | 100 | 0 | 10,952 | 1,471 | 1,514 | 1,555 | 1,626 | 2,547 |
442
+
| Koyeb | 100 | 0 | 10,955 | 536 | 738 | 881 | 1,013 | 1,525 |
443
+
| Railway | 99.991 | 1 | 10,955 | 381 | 469 | 653 | 661 | 850 |
444
+
| Render | 99.89 | 12 | 10,946 | 451 | 447 | 591 | 707 | 902 |
445
+
446
+
If you value low latency, Cloudflare Workers are the best option for fast global
447
+
performance without cold start issues. They deploy your app worldwide
448
+
efficiently.
449
+
450
+
For multi-region deployment, check out Koyeb and Fly.io.
451
+
452
+
For specific region deployment, Railway and Render are good choices.
453
+
454
+
Choosing a cloud provider involves considering not just latency but also user
455
+
experience and pricing.
456
+
457
+
We use Fly.io in production and are satisfied with it.
458
+
459
+
#### Vercel (coming soon)
460
+
461
+
I haven't included Vercel in this test. But I am currently running a test to
462
+
compare the latency of Vercel Edge, Vercel Serverless. Results will be published
463
+
soon.
464
+
465
+
If you want to monitor your API or website, create an account on
466
+
[OpenStatus](https://www.openstatus.dev/app/sign-up?ref=blog-monitoring).