diff --git a/metricbeat/docs/fields.asciidoc b/metricbeat/docs/fields.asciidoc index a8a61308c12..e23f822269b 100644 --- a/metricbeat/docs/fields.asciidoc +++ b/metricbeat/docs/fields.asciidoc @@ -16634,7 +16634,7 @@ 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 1115f17ff9d..270028c7533 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 "eJzsXUtz4ziSvtevQNTJveHRYWNjDz5sxIx7JtZR3TVeP6YPGxtqiExJaFMACwDtUv/6DYAviARAUIRkl00eHNYr80NmAkgkEom/oCfYX6GnYgWcggTxCSFJZAZX6POX5s3PnxBKQSSc5JIweoX+6xNCCLVfQDuQnCTq1xwywAKu0AZ/QkiAlIRuxBX6389CZJ8v0eetlPnn/1OfbRmXy4TRNdlcoTXOBHxCaE0gS8WVZvAXRPEOOvDUI/e54sBZkVfvWOCp54auGd9h9TbCNEVCYkmEJIlAbI1ylgq0wxRvIEWrvcFnUVEw0ZiIcE4E8GfgzSc2UB5gHfn99fYGlQQNUdbPoUjrpwvNhMfhWwFCLpKMAJUHX6lxPsH+hfG085kHrXquNT0E3yEplF5rRsKLgoNgBU8gHo67kjKkyEq7C0AUq1NicJHvwUhYHh8A0mTRRZIVQgK/1ExFjhO4bKTzkxfXM/BVPFj//fBwi3oke5bJ0oii0Dx7JPs8qQQql4pRfDVUGDQL1GPRxZLy/ZIXNB6M30BugSO5hZoHKgQIlPI96jLqgnkitMttApIvhKZqdK2oD6hklzMad4yqSaItpmmmRilDKF403bF7IhI1qGuSaM1qzQQME8/ABWERTaMi2KDoN7MLQUvuYHKbCKHuJDbCXeY7kFsW0R51x7QQ7TWaiYhm2LS4S7Vmm3OWgBBWjjZDtM33Jr0kLxYCkt7nNc2UFausO+71GnJ9+4gEJIymXWQtpx3sGN+raZ2kQOVitW89sz7fjNGN5cPSL7tCrh8foPqb+hIiFNU8KwxDEJ8JlwXOzomwYjkEcJ2KBcuBLhJW9Ea/QWgHrL8WuxVwNeIqgmhNMmi+wLhbjUJiLiGNYDT3pcEgQWgCeoipjLvmYe0AaiEQzfqbebXg2ttfFGKRA0+ASpLB4t+cLWSrPyCxKaD8YDlGDnWfr0GgHUk4q7oTauG4dWJrhih2E/Xjx5UUuyLDkjwDsrHyQZtuvDU0TUnPUDX9QSCC/Allz46p6TGgFYJRajUg+7QaY0A6wDhSxQbMU2hYkfdgEDmjAl5VvSWEMfrtgz69gk2UwRruA42h4gqKnVTf6Y9vU3XDrDNNGQZZ+Pg7eTum2jrwgbBAlihLp8nxnLyI3oI1dmMyy7AEmuyPsWSbtkRN8FKZqEJQvial42TOSYOQ4plQg4mOF8yqSJ5AnnXKqVijLRGSbTjeoRKEG2yoKzEGRU2z1GSo8k7jObRYqOkIl2+GgXkFPbaowzWZFJyrcWy67G7oOiObrQwwdUY3vKCU0E3UpUo7fiZ60lK/RhUjf1QZZJIuSrlHGcnboH+lTYGw1Fys7HGRErmAZ5cixrLX9JCmZ29vyZCDggZpRJ41yS7zdq6hEhM6bY/DkG5DL8oWh15ZLiXZ2UO5KZbdDwYCNveKIOoRNMIrwbP4UITy9hEVAm/AIghXs00o+rfOfmgD5KN60EjGbYSHiQ8xMJlYBuUuG8dYUj8D8jWf68bolNSvGYdK9BRT54R1gBZTpsTiAj0IOBBsaRSQDjBsYLEUFrl1TmpRiQRnkC7XGcOuL9ZLjmqVE6MNSrpYIFzTVK/ZWoeFJJM409gRzjKWYIlXGajfeRubkR2RP15rU1gTCmkJv4m+t8PghXrHKRFE1qig+reQ2jfwMrYJjx8PtOoXtlFu+JqNHIzwMyYZtgehpg9IrpUwCul5Q8tpFK5rLZ2mqSjBOU6I3CvX1069GVGrb75/6ZSWHC4ZNdi9f6noIT1cKESNBO6dimlzu917RxEnsQdtA20/cTbH2Ajh4Hc5YqFSjEIAOewyPiBtGhZAh3tY0UJHH2Og7lrgwDbc6VzptyWQUgzO5r5xv/JXA/1I19Khf/TmvcuQNk9wMCuDcPuYpoR4L00Bvas+cnd/7+8hNeAXxp8I3Qhwh8Hegzx+K5uJBMgwueR4A2tcZJZA4pjwoB1RG7dSbJCDTzNr4j8YPxMezcuJquk9jMl1xDyfj7CiuGNM6kwWsRcSdqMXFx/D2bFLyXS/P/oazC6hyvN+vbXYGdYYj5bVhRnZ5yzLgJeHHyZF+K8bYtVRCm98fwUyNML/Kkmo58xLP3ei65kTXNXfeOy+4h2E5VH/yWhEvjd0zbGQvEhkwaFPfE7nLZszp/PO6bxzOm9AM+Z0XjuQOZ03GOOczjun887pvNPTeS1e5tgE3xfGn74VUNg9zmOmPgUalMNZJt1Nn85/KQk22XXVZO7zJQq6JpSIbRR34rEhFsIap2kMG/6t1osiOGDIKeRyG5WnpjjYfSQnUfpry9fMYdbU7QszlsIiUUv2RDL7+voYw4VnkmhPIqYPrDcuaso+g90CzuQ2RmZ4y7yhiuyhoFNk5fs5lXgcm1Xh7G4PtpLcjWzGJMAp8AURyx0W0hGTWTGWAe46ekPH1rftuXWtayJQh8enLhqdr/qpy35EyOphC2bxjTL/tY5agZqHdN9oPpFbLBHmgDZAgWNZVgups4WrcfWAA6FqYauE+6VbuwSNSHd1G5hD115pX5fTq+KCOCSMp6KUe2N8kuygfC/HXJKkyDAvhYC2WCCW6BT01IJQ/1LiXW5B2R9MfGG/NeFCLitW1FGxY3x670MNULVT80AtD/Ve16rM4x4nB6RYDOBpYyGitxdXYpDwXYZbw68lncoSIG3LA5BnoBZxJCzfLyWzIWjnNCw6Sz136M2L7k5TCgXXWGG37MaR3B/2ebPJ7ue4A4lTfBDTdpv9gD5KSggLwRKiR5kXIrdenfg6kr1Ljp/hm0GIA+4Gf5CvAwTsVRx0As2AMOqX/EkDzBVnP09dXCcuY00SEYpetiTZVkPuCxbtjGNFU8fBl9FrhvyrqhliCsQfdi9IxK2MR0q+FYB0cJisiXIQmAHEEhxowqCQrZcZoU8Rwdz9gjjkHIRCU9WTcQ0IhD6z7BnSpQXjqcaFmqdNLr4RAuckvuX89famqThTWY9HXXFLDyneT1X5oQHGcQcPagweHqan66815RGij9thH29+HuBtLj+neO/GkTK9YphPk82nyRxP7NNkX5W9/dgHyebsctszZ5d3nnjZ5XMScQfwnERsBz4nEXuSiClIZTfRxmv+/V0b3x0kQJ51nNZFq4kmc27bjwrEHIrnu4tPE6153wp54JiKHZHy7ejkwaqTJgw9Z+yXT6A0/zEn648U0Jyn3z494XyEFH1jo9lxFLgL6hxnuFtUb+P0dovHdYK78WkK6ozgHDNuk53yAE90Gt89JwwzGGKCAns4Cg2RhPR0NC6UcrPTHu/4WQMFzhzoI4sxYG5BYwa7DyhC+wzULFYPzthMiWHnLP0hQ9jzirR85hVp+/xICvnhVqQfYs/ojeyS9GC9xbIoY8rtfagSe2pKbaqgiG4ZlLDaepH3x+atoA7sN9mj5kJD8brZ0dWGPkY48KC7uJvc2TRcvvddw1IsL729Q/ey4Z1vK5cCaQ7KK4noE4IDYsnxBpYn270sQQXvpC7Pgca9j2qUaPi+n7JqN86MaFoBV7YO1jtpTvZYipIcnTvvqnPSxpHTKHnytvomRmZ8txDJFC49co3guvVHpkrtkJ6vvseY4y3DlT28ZyoDq3qMq+nh6Xj+EeyYah6janlERuat4hFYw8MDaUL9jpDqHeGGMaZyh7Nux3FWPbpih/eYf0i1jii1OsZW6oiFyHvAf3yNjlDjDK7PcWx1jnCthoMdqNswsipHnKElvB7H6Gocx+vSUonj6DoccRUZVoFjbP2NWKoMrrwxvu7GaBHZyIRV3DjKbmzO4VB5jWPOHgcW1mimwz1NgiYlL9OnYgWlo16563uaWCPeA1NbkYEInBmGxX+/p8mtgnOnyHauUmPr5o2hS/Hc6KaZhxNfwPVqbkzOK9ZijjNO6EN3rHX2NHOuv7wjdBNN7V9L0sigPeoavUCIE31XL8gRBjCA8izW4G+M2yR6cQORbCEtsmllUo3YQUNvDhx8gMBB76DpkWyGCqAavkmRRWnYfWWnCEsJu1z2Sdc8m/EgIlvVXW1054DMHJAZgjQHZOaAzEhEc0BmDsjMAZk5IDMHZKwYvBUAS/62+n9eCGNq//VWY92Ke8dNkvDvcP6F6d9piiRDQFOjMfZpKRD2lMDECDSeDthFNK1H2DH5emLO0kXOQS1TFAJdMHQ3FcYtS1FLFFVEPQiqhVIMvjUpb6sbiVcKOqeDd28xluGZpId4mk9nAxE0YfRwTAyauqz0U5fx275V/+iSUD3xtBevE3vtOiGxLOIdss63WLgzBu0N6DbCl4ncNEczQhdV1ddL9IKJ1P9I4DtCsf8mRcCp+xy4vYJuIMoWoWZil++Bx6RWoO58LEIlbHqlfo8AU/IZrIbdqxxqgpmkv99KDaGLBtW1rjSplHbNsdj+wlj+N5w8sfX6Ev2dc30i7LbIskvU/Ft93letehhvtK9GoItrtsszkJBetpK4xpQyeVdQzYLxS/TPf/76hWQZpD9VzV9YO8qYcx+DxeV1CrLrvENJ15V5PErt17ePuv6XKFl69F47tWeBVLGDFNkZHsrJdzZkIGkx55CooeAK/efiP2Igb7AECtSHfRje1JRMl9TPWpOsVOLpL4saEkGV5F0mzw/WNKgV+Pq4W7XV+fuu07AJZ/QPtorl0pTUIl0j2Nt/CXdq0HWFpEejuzU4lYGVjuEyVoXB7X0jhE9LAuUsIx1KzdGLRLnNE25UaaMKJSm1KhLtzdQ9MzE8T7EUhciBpr2j6D7n6IC7GVCojYioVauNbmu7uqy1JdDvWYYcrlZzlmyR6IX6awgvWFiLZzfjFBZyWVtANBxK6LqsfA2DF9TeQeD7idgryoPsU8BpRqib85DN/VwRaFjjtQTedCmNJGH6Qgau3MA1JpmhiZB//C/di70U8oztdxOvqzCGxpZglOVeji2VH4K7W3/++GJFWnKxLUjaOS/PSILDV4NH4ai5IELXbKQvkYIg3FOEadJq6ecWY5tjU3FsUV+IHJIpx+ZiYWyLizj0Zhx7peeDZfAKAJan1ssMooMq+fQBmedgIw0OMathxwzN+IMek5b2uiCzGe9AF5IXcInWOBOg1uUFfaLshbr7TUGrmcJrpJNCMxrlAR/fYBhzvW8cwj3dErupim0e+fWvr+syTwOgJtRXrTE1BaXOVwrbkPlrLeK+uk5gD60+G8W8KvIKrb8YmLHxchLd6bPspzJNUzdqjTSskJPC0Uf5uyXp7AKeMkPFqnVF7Hca9d4OdxMVsptbK7MtE3J5Go6KtIvtyEl4HONqsjyu+s8Jt1o6MKu9lrt6r+UWaEroZrFYHLvFEhPdNL+jXp+6fdCYWBtuNryXfbTdlRnEWsFWBKvSDtOHghMuHU2o7jVsjLsxJtQ+2B7e+lqtFXPg6K58cW+pGBK6qn0tXP4+HA+V6r9jsbGVrvpwKqFVF77pa5QqTmi11/HEFpze9ecs6577QAdRxRX4RpdYUlwXWbavuQ1K09h+1gcYvhXsIJI/bWgxaEbaPThddPiuQvs/Gu1QjLgrpzEISg6EKu8cUnSxxTzVU5SA9CffkZI4myiHDXVupcju3Z0jWJgtLPuO+ukl+l019XfV1t9VY393zCCWhh/RPk1Oi7I0QJznGQGBZBtr7JBxvez/YzqFsC6yePNxTTHahGy/JjQslG+5JVfvo1T3gjY3mqILUL2qNN77qgXdQfsMHsKB8Jqh7ygn4cTTinF2s55VDoZqlxDRK3gLvci3D2ANrp03T61nY4Y2Rpy3pe5GyQbYt6HmWrkBwNpiAELCLtZ4V9b4NuoWRhn0LFmdaMwkYqnR2+RhuLMP5lsru48bkI/qQSPf3a2V84WVFnJzQV7TRXrnRTTnuxkPn/luxjA8wzVFn1lW7GJt4JfEojgkUxbsfan8qwTmdETmy/KqJ7D/zZfljRXQfFle+3zIy/IeA6/IO8ONdP9w3EPXhXKO2/pKJ68C8/8BAAD//97OQvo=" + return "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" } 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: