https://github.com/guessi/kubernetes-dnsperf/tree/master
kubectl get pods -o custom-columns=Name:metadata.name,DockerID:.status.containerStatuses[*].containerID
https://github.com/guessi/kubernetes-dnsperf/tree/master
kubectl get pods -o custom-columns=Name:metadata.name,DockerID:.status.containerStatuses[*].containerID
The following bookmarket shows a popup with the name of the participants separated by newlines.
javascript:-function(maxStrLength = 2000) { try { function findParticipants(current, depth = 0) { if (depth > 7) return; if (typeof current !== "object" || current === null || current === window) return; const descriptors = Object.getOwnPropertyDescriptors(current); for (const prop in descriptors) { if (prop.startsWith('["spaces/')) return Object.values(current); const item = findParticipants(descriptors[prop].value, depth + 1); if (item !== undefined) return item; } } const rootState = Object.entries(window).find(x => x[0].startsWith("closure_lm_"))[1], participants = findParticipants(rootState), names = []; function findName(obj) { for (const prop in obj) { const value = obj[prop]; if (typeof value === "object" && value !== null && typeof value[1] === "string") return value[1]; } } for (let i = 0; i < participants.length; i++) { const name = findName(participants[i]); if (names.indexOf(name) === -1) names.
For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.
Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon
with HyperThreading enabled, but it can work without problem on slower machines.
You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.
set menu_color_normal=white/black | |
set menu_color_highlight=black/light-gray | |
menuentry "Try openSUSE Tumbleweed GNOME Live ISO" { | |
set gfxpayload=keep | |
set iso_path=/openSUSE-Tumbleweed-GNOME-Live-x86_64-Snapshot20180220-Media.iso | |
loopback loop0 ${iso_path} | |
echo Loading kernel... |