AWS ARN:
/^arn:aws\w*:\w+:\w*:(?:\d{12})?:(?:\w+\/(?:\w+|\*)|\w+:(?:\w+|\*)|\w+|\*)/
/** | |
* A recursive deep-cloning utility, specifically for KO ViewModels. | |
* @author Nir Azuelos | |
* @param {object} input | |
* @returns {object} output | |
*/ | |
ko.utils.clone = function(input) { | |
var mapped = ko.mapping.fromJS(input, { | |
create: function (options) { | |
return ko.mapping.visitModel(options.data, function (value, parent) { |
{ | |
"rules": { | |
"keyword-spacing": ["error", { before: true, after: false }], | |
"key-spacing": ["error", { "beforeColon": false, "afterColon": true, "align": "value" }], | |
"object-curly-spacing": ["error", "always"], | |
"one-var": ["error", "always"], | |
"padded-blocks": ["off"], | |
"max-len": ["error", 100], | |
"indent": ["error", 3, { "VariableDeclarator": 2 }] | |
} |
function interpolateStringLiteral (template, tokens, input) { | |
const dict = input[input.length - 1] || {}; | |
return template.reduce((accumulator, part, i) => { | |
const key = tokens[i]; | |
const value = Number.isInteger(key) ? input[key] : dict[key]; | |
accumulator.push(part); | |
accumulator.push(value); | |
return accumulator; | |
}, []); | |
} |
0x00004e1e movw r2, #0xc977 | |
0x00004e26 movw r1, #0xc977 | |
0x00004e3e movw r2, #0xc977 | |
0x00004e46 movw r1, #0xc977 | |
0x00004e5c movw r3, #0xc977 |
job "dummy-batch-job" { | |
datacenters = ["us-east-1"] | |
type = "batch" | |
periodic { | |
cron = "*/1 * * * * *" | |
prohibit_overlap = true | |
} | |
group "monitor" { |
This gist is how I personally deploy an arm64 version of unbound (for running on Raspberry Pi) configured as a recursive DNS resolver.
Use case is setting this up as the upstream resolver in PiHole (also running in K8S) in order to eliminate the need of a 3rd-party resolver (i.e. Cloudflare, Quad9), potentially avoiding DNS spoofing / poisoning / etc.
Service is exposed with a ClusterIP under 10.43.0.53 listening to both TCP/UDP on port 53.
TODO / Considerations: