I sent it to several friends on different networks. None had the closest edge location and many differed between v4 and v6. I know anycast doesn’t use physical proximity, but Chicago and San Jose can’t possibly be the fastest route to Austin.
What’s the point of running apps near your users if traffic is routed across the country?
Sorry for the inconvenience. Even if you may not find MTR producing anything directly useful, knowing the intermediate systems your traffic is currently getting routed through can help us narrow down what we need to adjust to fix the issue.
I’ve tried different flags, but I only ever get that one entry (#8). I also tried while plugging directly into the fiber modem in case my firewall was filtering ICMP. Same result.
% sudo mtr -4 --no-dns my-route.fly.dev
Packets Pings
Host Loss% Snt Last Avg Best Wrst StDev
1. 10.10.10.1 0.0% 10 0.3 0.3 0.3 0.4 0.0
2. 10.26.1.10 0.0% 10 1.0 1.1 1.0 1.3 0.1
3. (waiting for reply)
4. (waiting for reply)
5. (waiting for reply)
6. (waiting for reply)
7. (waiting for reply)
8. 23.255.225.53 0.0% 10 36.1 36.5 36.1 37.0 0.3
9. (waiting for reply)
10. (waiting for reply)
11. (waiting for reply)
12. (waiting for reply)
13. 66.241.124.191 0.0% 9 36.5 36.8 36.5 37.2 0.3
Thanks for the report and the MTR details, we’re able to reproduce Google Fiber in Austin entering our network via SJC in our own tests. As you noted, there’s not any public Internet routing that our network provider can address through BGP adjustments on our side, we suspect this may be an issue in Google Fiber’s internal routing they’ll need to fix on their end. We’ll see what we can do but you may have better luck escalating this issue through your own support channels as an ISP customer.
As for your several friends on different networks experiencing other issues, if you have any additional details on specific networks and the specific issues observed, we can follow up on any details you or your friends can provide to improve our overall routing.
Over the weekend I ran an experiment on one of my sites that loaded a random resource over IPv4, IPv6, and Cloudflare. For instance, a visitor may generate requests to these three URLs:
I correlated the requests based on the random ID and set a cookie to prevent duplicates from the same visitor. Cloudflare provided IP geolocation. The requests generated a log similar to this:
id
dc_v4
dc_v6
cf_latitude
cf_longitude
cf_city
cf_region
cf_country
9e83995c
dfw
arn
29.4247
-98.4621
San Antonio
TX
US
6cc15617
ewr
arn
42.2937
-89.6354
Freeport
IL
US
29d1105c
lhr
lhr
53.5123
-2.3143
Manchester
ENG
GB
In the end I had about 7k rows, with 4k having IPv4, IPv6, and Cloudflare data.
Based on the data, I found that:
The IPv4 and IPv6 routes were the same only 72% of the time.
For both IPv4 and IPv6, traffic was routed to the Fly datacenter closest to the user only 57% of the time.
The ideal condition, where both IPv4 and IPv6 traffic are routed to the closest datacenter, only occurred 43% of the time.
I know there are caveats to this experiment, but I still find it concerning that the routing is so inconsistent.