From f5136d19f5f2fe962202b658811a595768b837ec Mon Sep 17 00:00:00 2001 From: Chris Mark Date: Fri, 7 Feb 2020 14:34:19 +0200 Subject: [PATCH] improve kubernetes.pod.cpu.usage.limit.pct field description (#16128) --- metricbeat/docs/fields.asciidoc | 2 +- metricbeat/module/kubernetes/fields.go | 2 +- metricbeat/module/kubernetes/pod/_meta/fields.yml | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/metricbeat/docs/fields.asciidoc b/metricbeat/docs/fields.asciidoc index 3961c8901a1..728fd5254cd 100644 --- a/metricbeat/docs/fields.asciidoc +++ b/metricbeat/docs/fields.asciidoc @@ -20992,7 +20992,7 @@ format: percent *`kubernetes.pod.cpu.usage.limit.pct`*:: + -- -CPU usage as a percentage of the defined limit for the pod containers (or total node CPU if unlimited) +CPU usage as a percentage of the defined limit for the pod containers (or total node CPU if one or more containers of the pod are unlimited) type: scaled_float diff --git a/metricbeat/module/kubernetes/fields.go b/metricbeat/module/kubernetes/fields.go index 7e772a7534b..a3848f4baf8 100644 --- a/metricbeat/module/kubernetes/fields.go +++ b/metricbeat/module/kubernetes/fields.go @@ -32,5 +32,5 @@ func init() { // AssetKubernetes returns asset data. // This is the base64 encoded gzipped contents of ../metricbeat/module/kubernetes. func AssetKubernetes() string { - return 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" + return "eJzsXU9z27iSv+dToHLKbHl02NraQw5bNeN5r54rmTyv7cwctrY0MNmSMCYBDgDa0fv0rwD+g0gABEVIdmzykIolsfuH7gbQ3QAaP6IH2H9ED+U9cAoSxDuEJJEZfETvP7Ufvn+HUAoi4aSQhNGP6H/eIYRQ9wOUg+QkUW9zyAAL+Ii2+B1CAqQkdCs+ov97L0T2/gK930lZvP9/9d2OcblOGN2Q7Ue0wZmAdwhtCGSp+KgZ/IgozqEHTz1yXygOnJVF/YkFnnqu6IbxHKuPEaYpEhJLIiRJBGIbVLBUoBxTvIUU3e8NPquagonGRIQLIoA/Am+/sYHyAOvJ76frK1QRNETZPIcibZ4+NBMeh79KEHKVZASoPPhJg/MB9k+Mp73vPGjVc6npIfgGSan02jASXhQcBCt5AvFw3FSUIUVW2n0Aorw/JQYX+QGMhBXxASBNFn1IslJI4BeaqShwAhetdH7w4noEfh8P1j/u7q7RgOTAMlkaURSa54DkkCeVQOVaMYqvhhqDZoEGLPpYUr5f85LGg/E7yB1wJHfQ8EClAIFSvkd9Rn0wD4T2uc1A8onQVI2uNfURleQFo3HHqIYk2mGaZmqUMoTiRdMfu2ciUYO6Jok2rNFMwDDxCFwQFtE0aoItimEz+xC05A4mt5kQmk5iI9xnnoPcsYj2qDumheig0UxENMO2xX2qDduCswSEsHK0GaJtvjfpJUW5EpAMvm9opqy8z/rj3qAhl9dfkYCE0bSPrOOUQ874Xk3rJAUqV/f7zjMb8s0Y3Vq+rPyyj8j18gGqn9WPEKGo4VljGIP4SLgscXZOhDXLMYCbVKxYAXSVsHIw+o1CO2D9pczvgasRVxFEG5JB+wPG3WoUEnMJaQSjua0MBglCE9BDTG3cDQ9rB1CBQDTrb+fVkmtvf1WKVQE8ASpJBqv/cLaQ3f8JiU0B1RfrKXJo+nwDAuUk4azuTqiD49aJrRmizGfqx48rKfMyw5I8ArKx8kGbb7wNNE1Jz1AN/VEggvwLqp4dU9NTQCsEk9RqQPZpNcaAdIBxoooNmKfQsCLvwSAKRgU8q3orCFP0OwR9egWbKIM1PAQaQ8U1FDupodMf36aahllnmioNsvLxd/J2TLVN4gNhgSxZll6T4zl5Eb0Fa+7GZJZhCTTZH2PJNm2JhuCFMlGFoPqbVI6TOSeNQopnQi0mOl0w92XyAPKsU07NGu2IkGzLcY4qEG6woa7EFBQNzUqToco7jefQYaGmI1x9GAbmGfTYoQ7XZFJyrsax+bK7opuMbHcywNQZ3fKSUkK3UUOVbvxM9KSl3kY1I39WGWSSriq5RxnJu6R/rU2BsNRcrOxxmRK5gkeXIqay1/SQpmdvb8WQg4IGaUSeDck+826uoRITOm+Nw5BuSy/KEoeOLNeS5PZUbopl/4uRhM2tIogGBI30SvAsPpahvP6KSoG3YBGEq9kmFP2usx/aAPmoHjSScRvhceJjDEwmlkG5z8YxljTPiHzN57I1OiX1S8ahFj3F1DlhHaDFlCmxuECPAg4EWxkFpCMMW1gshVVhnZM6VCLBGaTrTcaw64dNyFFHOTHaoKSLBcINTfU32+i0kGQSZxo7wlnGEizxfQbqPW9jM5IT+f21NoUNoZBW8NvsezcMflCfOCWCyAaVVL8LqX0BL2Pb8PzxSKs+s61ywzds4mCEHzHJsD0JNX9AckXCKKTnjYXTKFzXWjptU1GCC5wQuVeur516O6LWv3z90qksOVwyarB7/VLRQ3q4UIgaCdwrFfPmdrv3jiJOYnfaBrp+4myOsRDCwe9yxEKlGIUActhlfEDaNCyADtewoqWO3sZA3bfAkWW407nSL0sglRiczX3hfuWvBvqJrqVD/+jFe5chbZ7hYNYG4fYxTQnxwTYF9Kr6yM3trb+HNICfGH8gdCvAnQZ7DfL4vWomEiDD5FLgLWxwmVkSiVPSg3ZEXd5KsUEOPu2sif9k/Ex4NC8nqrb3MCY3Eff5vIWI4oYxqXeyiL2QkE8OLt6Gs2OXkul+v/UYzC6h2vN+vljsDDHGV0t0YWb2Ocsy4NXhh1kZ/suWWH2UIk5+/1m2oJ5zV/q5t7meeXur+jceuy84h7Bd1P9iNCLfK7rhWEheJrLkMCS+bOatmrNs5l028y6beQOasWzmtQNZNvMGY1w28y6beZfNvPM381q8zKnbe58Yf/irhNLucR4z9SnQoBzOasvd/On8c0Ww3VtXT+Y+X6KkG0KJ2EVxJ762xEJY4zSNYcO/N3pRBEcMOYVC7qLy1BRHu4/kJEp/7fiaO5g1dXtgxlJYJSpgTySzx9fHGC48kkR7EjF9YL1s0VD2GewOcCZ3MfaFd8xbqsieCDrFnnw/pwqPY6kqnN31wUKSu5HtmAQ4Bb4iYp1jIR05mXvGMsB9R2/s0PquO7WudU0E6vF410ejd6u+67OfkLC624FZeqPa/drkrEDNQ7pvtN/IHZYIc0BboMCxrGqFNHuF63H1gAOhKrBVwv3Ur1yCJiTD3Abm0LVX2pfV9Kq4IA4J46mo5N4anyQ5VJ8VmEuSlBnmlRDQDgvEEr0BPbUg1G9KnBcWlMPBxJf22xAu5LpmRR31OqZv7r1rAKp2ah6o46E+61uVedjj5IAUixE8XS5EDFbiKgwSvslwa/i1olNbAqRdcQDyCNQijoQV+7VkNgTdnIZFL9Rzp9686G40pVBwrRX2i24cyf1uX7RL7H6OOUicYomDzH5EHxUlhIVgCdGjzBORO69OfB3J3iWnz/DtIMQB95M/yNcBAlYqDjqBZkAY9Uv+pAnmmrOfpy6tE5exJokIRU87kuzqIfcJi27GsaJp8uDr6BVDfqsrhpgC8afdSxJxKeMrJX+VgHRymGyIchCYAcSSHGjToJBt1hmhDxHB3HxGHAoOQqGpq8m4BgRCH1n2COnagvFU40LD0yYX3wiBCxLfcn66vmrrzdTW41FX3MJDivdDXXxohHHcwYMag4eH6en6a0N5gujjdtivV7+M8DbDzzneu3GgTEcMy1my5SyZ44l9luyLsrfv+xjZsrfc9ix7y3tPvL3lyxbiHuBlC7Ed+LKF2LOFmIJUdhNtvObfXrXx3UAC5FHnaV202mwy57b1qEDMoXi+ufi02ZrXrZA7jqnIiZQvRyd3Vp20aehlv371BErz78tW/YkCWnbpd89AOG9hg76x0Ow4CNwHdY4T3B2ql3F2u8PjOr/d+jQldWZwjhm3Sa48wBOdxXfPCeMMxpigwB6OQlMkIT0dTUulXOXa450+a6DAmQO9ZTEGzC1oymD3BkVon4HaYPXgjM2cHHbB0u8yhb1EpNWzRKTd8z0p5LuLSN/EmtELWSUZwHqJRVGmFNt7UwX21JTa1kAR/SIodWU9RgExjnLGwfxxTViRwBzG6u9FXkVbFox6sF9kv1uKEcXrjEdXJHobScOD7uJucm9pcf3a1xYrsTwNVhjdwcUrX3yuBNIep1cS0ecIR8RS4C2sT7bGWYEKXm9dnwONe7XVKOTwbT8ntjdOlmha8691bU//WAqXHL2/3lULpcs1p1H20ttqoBi75/vFSuZwGZBrBdevUTJXaof0fDVAphyBGa/+4T13GVj5Y1rdD0+3849fx1T8mFTvIzIyb6WPwDofHkgzanyEVPgIN4wp1T2ctT2Os+rJVT28pQBCKnpEqecxtZpHLETeIgDT63iEGmdwDY9jK3iEazUc7Ehth4mVO+IMLeE1OyZX7Dhel5ZqHUfX6oiryLAqHVNrdMRSZXB1jum1OSaLyEYmrCrHUXZjcw7HSnAccz45sPhGOx3uaRI0KXmZPpT3ULnptbO+p4k1Kz4ytZUZiMCZYVz8t3uaXCs4N4ps77I1tmk/GLs2z41unnk48QVcwObG5LyELeY444Q+dgtbb92z4PrHOaHbaGr/UpFGBu1JF+0FQpzpu3pBTjCAEZRnsQZ/Y9wmMcgaiGQHaZnNK6RqZA5aekvaYMjjlaUNBkdRj2QzViLV8EzKLErDbmsrRVhKyAs5JN3wbEeDiGxVZ7XRXdIxSzpmDNKSjlnSMRMRLemYJR2zpGOWdMySjrFi8NYIrPjbKgR6IUypDjiIxfo1+Y6bJOE/4fxh6d9oiiRDQFOjMfZpKRD2nLTEBDSeDthHNK9H2DH5emLB0lXBQYUpCoEuKZrPhXHNUtQRRTVRD4I6UIrBtyHlbXUr8VpB53Twbi3GMj6TDBDP8+lsIIImjAGOmSlTl5W+6zN+2bfuH100aiCe7mJ2Yq9uJySWZbxj2MUOC/duQXsD+o3w7VVum6MZoQ91XdgL9ISJ1P+RwHNCsf+mRcCp+6S4vcZuIMoOoWZil++Bx6QiUPdeLEIlbAfFgI8AU/EZrZc9qC1qgpmlv98rDaEPLapLXYtSKe2SY7H7zFjxM04e2GZzgf7GuT4zdl1m2QVq/1t/P1Stehhvta9GoA+XLC8ykJBedJK4xJQyeVNSzYLxC/TPf/76iWQZpD/UzV9ZO8qUkyGj5ef19mPXiYiKrmvX8SS1X15/1RXCRMXSo/fGqT0LpJodpMjO8FBOvtMjIxsWCw6JGgo+ov9e/VcM5C2WQIH6sI/Dm7sd0yX1s1Ytq5R4+uukxkRQb/CuNs6PVj1oFPj8uDu1NXv3XedlE87on+w+lktTUYvi0AxWX8JdGnRZ4xjQ6C8LzmVgpWM4jHXhcHvPCOHTkUAFy0iPUnvoIlFO84wbV7qcQkVKxUSiu7d6YCSG3ynWohQF0HRwVN3nGh1wN9MJjQkRFbPa6HaWq8teW9L8niDkMFYtWLJDYpDobyA8YWEtrt2OUljIdWMB0XAooeuy8w0MXlJ7B4FvJ2KvKI+yTwGnGaFuzmM290tNoGWNNxJ426U0koTpCxu4cgI3mGSGJkL+4//THeqlUGRsn8+8zsIYGDuCUcbGAlsqQwR3t+Hs8cmKtOJiC0e6Ga/ISILDY8GjcDRcEKEbNtGTSEEQ7inSNCtW+qXD2O2vqTl2qD+IApI5B+ZiYeyKjzj0Zhx4peeDZfAKAFak1ssOooOq+AwBmSdgIw0OMatlx0zM+FMeswJ7XbDZzHagD5KXcIE2OBP6/HdJHyh7ou5+U9J6pvAa6azEjEZ5wMc3GMaM9o3jt6cLsNuq2eZhX3903ZSBGgE1o/5qg6ktOHW+UtmGzJ8rhPviOns9Fnu2inlW5DVaf7EwY9nlJLrTp9hPZZqmblSMNK6Qk8LRh/j7JetaAQMXREig8pFlZR5ruurIoopuM3ehDWe5/uWPapiEHz1zGnwrgBM11R4I51QJgd8qoIqEI1Xr6z9h8UzNw1pB0LfWMbUR1TIGThLGU33rDTO04/ALGMdbWCcZdtyEH8D9tiKCNJE2NTCwLBQScLksNMkwyU9mpkmGvwtjvf7t0mOpVWPWcxj8TGgKaSMWN6s6jbiu7WdG37jpsvdNR4vfP5TcNAE7bZwkIMQ672+En8DhJ00CKRJ2Hifsade/Xa5cHcs+pc7qPZGqHxL7LXeDj8MTAwrZ1bWV2Y4JuT4NR0XaxXZi2DWNcR0eHVcP7oRL6z2Y9dr6TbO2fg1UTU6r1erYJfWY6OZFmk1G0p11iIm15WbDezFE28/FQaycZU2wLuMzfyg4YbLQhOrOWsa4LWlGnZvd4T3gdXawAI5uqj9uLdWhQvOYz4XL34fjoVL9dyo2dq8r/JxKaPUVoPpivZoTut/ruboDp3d5cZb1z/mhg3Wke/CNLrGkuCmzbN9wG5Wmsd1IH1j7q2QH1+nOG1oMmlEGl9OtBt7UWP9XYx1bE+xLaQqCigOhG8ZzSNGHHeapnqAEpD/4DhDGCTsOG+pcOpf9u5wnsDBbWPUc9eoF+kM19Q/V1j9UY/9wzB+Whh/RPk1Oi7IyP1wUGQGBJBsGqv4/3YGtGg5IEivjUlPzdZQzh6i3NSJPQiUrhQR+nDt+RSVwijN0dd3afS0EOzf4Vr0wKyxuGtUQQ798uXX3g5alo4XHMHQEGBnD6foeZ5gmbokG8PvMcIp+rum0VuVgOqefNw0b0GjDQrrlKhg/vi1XFQUX+oaBitucNjFmhBWHf9hI9OYd+4g/Utq/kVJ7v7rlhSOGHoklbMosXiDQUIwWCfiENpZJGjo6dztDhO3l+ugDqAm9mjdv6xb0vcUzhCYHwmt9rqOikxP7s0aJkMadPfARXUJEzxCmDDZZ+AA24DqH/dR6NkIDw9l5WepulWyAfRlqbpQbAKwd9PQNMbHGu+q6GaM4dpRBz3J8CE2Z8SzXRbQbft0bXZcL1PuPG5CP6kEjX90F6svd6RZyy60Ppov0yiu1L9eEHz7LNeFheMYL10fdfHO442aWQzInVTKUirHDxsptube5fgL733Jv81QBLfc2d8+bvLf5a+BtzWe4HPnvjiuR+1DOcXF05eTVYP4dAAD//6VSGKg=" } diff --git a/metricbeat/module/kubernetes/pod/_meta/fields.yml b/metricbeat/module/kubernetes/pod/_meta/fields.yml index ff7301ec552..1c46d4432b9 100644 --- a/metricbeat/module/kubernetes/pod/_meta/fields.yml +++ b/metricbeat/module/kubernetes/pod/_meta/fields.yml @@ -56,7 +56,7 @@ type: scaled_float format: percent description: > - CPU usage as a percentage of the defined limit for the pod containers (or total node CPU if unlimited) + CPU usage as a percentage of the defined limit for the pod containers (or total node CPU if one or more containers of the pod are unlimited) - name: memory type: group fields: