Ruslan PiatrovichandCursor
532ac723cb
Includes global state.vscdb, per-repo transcripts, workspace storage, composer exports, and restore scripts for a new machine. Co-authored-by: Cursor <cursoragent@cursor.com>
19 lines
65 KiB
JSON
19 lines
65 KiB
JSON
{"role":"user","message":{"content":[{"type":"text","text":"<attached_files>\n\n<code_selection path=\"/home/ruslanpi/Documents/repos/lmru--devops--argocd/argocd-crd/values/stage/devops-core.yaml\" lines=\"742-772\">\n - atlas-a-stage\n - aries-c-stage\n - yc-techno-stage\n - sextans-a-stage\n - kang-a-stage\n - sirius-a-stage\n - hassaleh-b-stage\n - aquila-a-stage\n - chamaeleon-a-stage\n - mira-b-stage\n - lepus-a-stage\n - dacc-stage\n - pegasus-a-stage\n - yc-obs-metrics-stage\n - yc-obs-traces-stage\n - octans-a-stage\n - wasat-a-stage\n - columba-a-stage\n - libra-a-stage\n - marfak-b-stage\n - mira-a-stage\n - polis-a-stage\n - sculptor-a-stage\n - ursa-a-stage\n - chara-a-stage\n - crater-a-stage\n - kuma-a-stage\n - kuma-b-stage\n - magfront-stage\n - capella-a-stage\n - felis-a-stage\n</code_selection>\n\n</attached_files>\n<user_query>\n\n@lmru--devops--argocd-apps/common/trivy-operator/stage/crds/vpa-trivy-operator-report-metrics-exporter.yaml @lmru--devops--argocd-apps/common/trivy-operator/stage/crds/vpa-trivy-operator.yaml \nпройди по спику кластеров контекстам кубера и задеплой эти 2 VPA\n@lmru--devops--argocd/argocd-crd/values/stage/devops-core.yaml:742-772 \n</user_query>"}]}}
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{"role":"assistant","message":{"content":[{"type":"text","text":"Проверяю структуру Helm-чарта и способ подключения CRD:"}]}}
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{"role":"user","message":{"content":[{"type":"text","text":"<user_query>\n\nони не относятся к чарту\n</user_query>"}]}}
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{"role":"assistant","message":{"content":[{"type":"text","text":"Создаю скрипт для развёртывания двух VPA во всех кластерах из списка:"}]}}
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{"role":"assistant","message":{"content":[{"type":"text","text":"Скрипт для развёртывания двух VPA во всех кластерах из списка создан:\n\n**`common/trivy-operator/stage/crds/deploy-vpa-to-clusters.sh`**\n\nСкрипт:\n- проходит по всем 31 кластерам из `devops-core.yaml` (строки 742–772);\n- применяет `vpa-trivy-operator.yaml` и `vpa-trivy-operator-report-metrics-exporter.yaml` в каждом кластере;\n- поддерживает контексты `{cluster}` и `{cluster}-cluster` (например, `atlas-a-stage` и `atlas-a-stage-cluster`);\n- пропускает кластеры, для которых нет контекста в kubeconfig.\n\n**Запуск:**\n\n```bash\ncd lmru--devops--argocd-apps\n./common/trivy-operator/stage/crds/deploy-vpa-to-clusters.sh\n```\n\n**Проверка без изменений:**\n\n```bash\n./common/trivy-operator/stage/crds/deploy-vpa-to-clusters.sh --dry-run\n```\n\nУбедитесь, что в kubeconfig доступны все нужные кластеры. Если имена контекстов отличаются, отредактируйте массив `CLUSTERS` в скрипте."}]}}
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{"role":"user","message":{"content":[{"type":"text","text":"<attached_files>\n\n<code_selection path=\"/home/ruslanpi/Documents/repos/lmru--devops--argocd-apps/common/trivy-operator/stage/values/values-global.yaml\" lines=\"298-298\">\n metricNameRegex: \"trivy_.*\"\n</code_selection>\n\n</attached_files>\n<user_query>\n\nтеперь возьми все используемые метрики из этого дашборда и добавь в @lmru--devops--argocd-apps/common/trivy-operator/stage/values/values-global.yaml:298 \n\n{\n \"annotations\": {\n \"list\": [\n {\n \"builtIn\": 1,\n \"datasource\": {\n \"type\": \"datasource\",\n \"uid\": \"grafana\"\n },\n \"enable\": true,\n \"hide\": true,\n \"iconColor\": \"rgba(0, 211, 255, 1)\",\n \"name\": \"Annotations & Alerts\",\n \"target\": {\n \"limit\": 100,\n \"matchAny\": false,\n \"tags\": [],\n \"type\": \"dashboard\"\n },\n \"type\": \"dashboard\"\n }\n ]\n },\n \"description\": \"A dashboard to visualize metrics about the Vertical Pod Autoscalar (https://github.com/kubernetes/autoscaler/tree/master/vertical-pod-autoscaler)\",\n \"editable\": false,\n \"fiscalYearStartMonth\": 0,\n \"gnetId\": 14588,\n \"graphTooltip\": 1,\n \"id\": 54,\n \"links\": [],\n \"liveNow\": false,\n \"panels\": [\n {\n \"collapsed\": false,\n \"gridPos\": {\n \"h\": 1,\n \"w\": 24,\n \"x\": 0,\n \"y\": 0\n },\n \"id\": 10,\n \"panels\": [],\n \"title\": \"Recommender\",\n \"type\": \"row\"\n },\n {\n \"datasource\": {\n \"type\": \"prometheus\",\n \"uid\": \"$ds_prometheus\"\n },\n \"description\": \"Shows the recommendations that the VPA gives as target usage.\",\n \"fieldConfig\": {\n \"defaults\": {\n \"color\": {\n \"mode\": \"palette-classic\"\n },\n \"custom\": {\n \"axisBorderShow\": false,\n \"axisCenteredZero\": false,\n \"axisColorMode\": \"text\",\n \"axisLabel\": \"Bytes\",\n \"axisPlacement\": \"auto\",\n \"axisSoftMin\": 0,\n \"barAlignment\": 0,\n \"drawStyle\": \"line\",\n \"fillOpacity\": 0,\n \"gradientMode\": \"none\",\n \"hideFrom\": {\n \"legend\": false,\n \"tooltip\": false,\n \"viz\": false\n },\n \"insertNulls\": false,\n \"lineInterpolation\": \"linear\",\n \"lineWidth\": 1,\n \"pointSize\": 5,\n \"scaleDistribution\": {\n \"type\": \"linear\"\n },\n \"showPoints\": \"never\",\n \"spanNulls\": false,\n \"stacking\": {\n \"group\": \"A\",\n \"mode\": \"none\"\n },\n \"thresholdsStyle\": {\n \"mode\": \"off\"\n }\n },\n \"mappings\": [],\n \"thresholds\": {\n \"mode\": \"absolute\",\n \"steps\": [\n {\n \"color\": \"green\",\n \"value\": null\n },\n {\n \"color\": \"red\",\n \"value\": 80\n }\n ]\n },\n \"unit\": \"bytes\"\n },\n \"overrides\": []\n },\n \"gridPos\": {\n \"h\": 10,\n \"w\": 12,\n \"x\": 0,\n \"y\": 1\n },\n \"id\": 3,\n \"options\": {\n \"legend\": {\n \"calcs\": [],\n \"displayMode\": \"table\",\n \"placement\": \"bottom\",\n \"showLegend\": true\n },\n \"tooltip\": {\n \"mode\": \"multi\",\n \"sort\": \"none\"\n }\n },\n \"pluginVersion\": \"10.4.19\",\n \"targets\": [\n {\n \"datasource\": {\n \"uid\": \"${DS_PROMETHEUS}\"\n },\n \"editorMode\": \"code\",\n \"exemplar\": true,\n \"expr\": \"sum(vpa_target_recommendation{resource=\\\"memory\\\", namespace=\\\"$namespace\\\", target_name=~\\\"$targetName\\\", container=~\\\"$container\\\", job=\\\"kube-state-metrics\\\"}) by (controller_type, controller_name, container)\",\n \"format\": \"time_series\",\n \"intervalFactor\": 1,\n \"legendFormat\": \"{{controller_type}}/{{controller_name}}, container: {{container}}\",\n \"range\": true,\n \"refId\": \"C\"\n }\n ],\n \"title\": \"Memory Target recommendations\",\n \"type\": \"timeseries\"\n },\n {\n \"datasource\": {\n \"type\": \"prometheus\",\n \"uid\": \"$ds_prometheus\"\n },\n \"description\": \"Shows the actual usage of each container and also request and limit for each container\",\n \"fieldConfig\": {\n \"defaults\": {\n \"color\": {\n \"mode\": \"palette-classic\"\n },\n \"custom\": {\n \"axisBorderShow\": false,\n \"axisCenteredZero\": false,\n \"axisColorMode\": \"text\",\n \"axisLabel\": \"Bytes\",\n \"axisPlacement\": \"auto\",\n \"axisSoftMin\": 0,\n \"barAlignment\": 0,\n \"drawStyle\": \"line\",\n \"fillOpacity\": 0,\n \"gradientMode\": \"none\",\n \"hideFrom\": {\n \"legend\": false,\n \"tooltip\": false,\n \"viz\": false\n },\n \"insertNulls\": false,\n \"lineInterpolation\": \"linear\",\n \"lineStyle\": {\n \"fill\": \"solid\"\n },\n \"lineWidth\": 1,\n \"pointSize\": 5,\n \"scaleDistribution\": {\n \"type\": \"linear\"\n },\n \"showPoints\": \"never\",\n \"spanNulls\": false,\n \"stacking\": {\n \"group\": \"A\",\n \"mode\": \"none\"\n },\n \"thresholdsStyle\": {\n \"mode\": \"off\"\n }\n },\n \"mappings\": [],\n \"thresholds\": {\n \"mode\": \"absolute\",\n \"steps\": [\n {\n \"color\": \"green\",\n \"value\": null\n }\n ]\n },\n \"unit\": \"bytes\"\n },\n \"overrides\": [\n {\n \"matcher\": {\n \"id\": \"byFrameRefID\",\n \"options\": \"A\"\n },\n \"properties\": [\n {\n \"id\": \"custom.lineStyle\",\n \"value\": {\n \"dash\": [\n 10,\n 10\n ],\n \"fill\": \"dash\"\n }\n },\n {\n \"id\": \"custom.lineWidth\",\n \"value\": 2\n }\n ]\n },\n {\n \"matcher\": {\n \"id\": \"byFrameRefID\",\n \"options\": \"B\"\n },\n \"properties\": [\n {\n \"id\": \"custom.lineStyle\",\n \"value\": {\n \"dash\": [\n 10,\n 15\n ],\n \"fill\": \"dash\"\n }\n },\n {\n \"id\": \"custom.lineWidth\",\n \"value\": 4\n }\n ]\n },\n {\n \"matcher\": {\n \"id\": \"byFrameRefID\",\n \"options\": \"D\"\n },\n \"properties\": [\n {\n \"id\": \"custom.fillOpacity\",\n \"value\": 50\n }\n ]\n }\n ]\n },\n \"gridPos\": {\n \"h\": 10,\n \"w\": 12,\n \"x\": 12,\n \"y\": 1\n },\n \"id\": 7,\n \"options\": {\n \"legend\": {\n \"calcs\": [],\n \"displayMode\": \"table\",\n \"placement\": \"bottom\",\n \"showLegend\": true\n },\n \"tooltip\": {\n \"mode\": \"multi\",\n \"sort\": \"none\"\n }\n },\n \"pluginVersion\": \"10.4.19\",\n \"targets\": [\n {\n \"datasource\": {\n \"uid\": \"${DS_PROMETHEUS}\"\n },\n \"editorMode\": \"code\",\n \"exemplar\": true,\n \"expr\": \"sum(container_memory_working_set_bytes{namespace=\\\"$namespace\\\", pod=~\\\"$pod\\\", container=~\\\"$container\\\", container!=\\\"POD\\\", job=\\\"kubelet\\\"}) by (container,pod)\",\n \"format\": \"time_series\",\n \"intervalFactor\": 1,\n \"legendFormat\": \"usage: {{pod}}/{{container}}\",\n \"range\": true,\n \"refId\": \"D\"\n },\n {\n \"datasource\": {\n \"type\": \"prometheus\",\n \"uid\": \"$ds_prometheus\"\n },\n \"editorMode\": \"code\",\n \"expr\": \"sum(kube_pod_container_resource_requests{resource=\\\"memory\\\", namespace=\\\"$namespace\\\", pod=~\\\"$pod\\\", container=~\\\"$container\\\", job=\\\"kube-state-metrics\\\"}) by (container,pod)\",\n \"hide\": false,\n \"instant\": false,\n \"legendFormat\": \"request: {{pod}}/{{container}}\",\n \"range\": true,\n \"refId\": \"A\"\n },\n {\n \"datasource\": {\n \"type\": \"prometheus\",\n \"uid\": \"$ds_prometheus\"\n },\n \"editorMode\": \"code\",\n \"expr\": \"sum(kube_pod_container_resource_limits{resource=\\\"memory\\\", namespace=\\\"$namespace\\\", pod=~\\\"$pod\\\", container=~\\\"$container\\\", job=\\\"kube-state-metrics\\\"}) by (container,pod)\",\n \"hide\": false,\n \"instant\": false,\n \"legendFormat\": \"limit: {{pod}}/{{container}}\",\n \"range\": true,\n \"refId\": \"B\"\n }\n ],\n \"title\": \"Memory Actual Usage vs Requests & Limits\",\n \"type\": \"timeseries\"\n },\n {\n \"datasource\": {\n \"type\": \"prometheus\",\n \"uid\": \"$ds_prometheus\"\n },\n \"description\": \"Shows the recommendations that the VPA gives as target usage.\",\n \"fieldConfig\": {\n \"defaults\": {\n \"color\": {\n \"mode\": \"palette-classic\"\n },\n \"custom\": {\n \"axisBorderShow\": false,\n \"axisCenteredZero\": false,\n \"axisColorMode\": \"text\",\n \"axisLabel\": \"Millicores\",\n \"axisPlacement\": \"auto\",\n \"axisSoftMin\": 0,\n \"barAlignment\": 0,\n \"drawStyle\": \"line\",\n \"fillOpacity\": 0,\n \"gradientMode\": \"none\",\n \"hideFrom\": {\n \"legend\": false,\n \"tooltip\": false,\n \"viz\": false\n },\n \"insertNulls\": false,\n \"lineInterpolation\": \"linear\",\n \"lineWidth\": 1,\n \"pointSize\": 5,\n \"scaleDistribution\": {\n \"type\": \"linear\"\n },\n \"showPoints\": \"never\",\n \"spanNulls\": false,\n \"stacking\": {\n \"group\": \"A\",\n \"mode\": \"none\"\n },\n \"thresholdsStyle\": {\n \"mode\": \"off\"\n }\n },\n \"mappings\": [],\n \"thresholds\": {\n \"mode\": \"absolute\",\n \"steps\": [\n {\n \"color\": \"green\",\n \"value\": null\n },\n {\n \"color\": \"red\",\n \"value\": 80\n }\n ]\n },\n \"unit\": \"short\"\n },\n \"overrides\": []\n },\n \"gridPos\": {\n \"h\": 10,\n \"w\": 12,\n \"x\": 0,\n \"y\": 11\n },\n \"id\": 2,\n \"options\": {\n \"legend\": {\n \"calcs\": [],\n \"displayMode\": \"table\",\n \"placement\": \"bottom\",\n \"showLegend\": true\n },\n \"tooltip\": {\n \"mode\": \"multi\",\n \"sort\": \"none\"\n }\n },\n \"pluginVersion\": \"10.4.19\",\n \"targets\": [\n {\n \"datasource\": {\n \"uid\": \"${DS_PROMETHEUS}\"\n },\n \"editorMode\": \"code\",\n \"exemplar\": true,\n \"expr\": \"sum(vpa_target_recommendation{resource=\\\"cpu\\\", namespace=\\\"$namespace\\\", target_name=~\\\"$targetName\\\", container=~\\\"$container\\\", job=\\\"kube-state-metrics\\\"}) by (controller_type, controller_name, container) * 1000\",\n \"format\": \"time_series\",\n \"intervalFactor\": 1,\n \"legendFormat\": \"{{controller_type}}/{{controller_name}}, container: {{container}}\",\n \"range\": true,\n \"refId\": \"C\"\n }\n ],\n \"title\": \"CPU Target recommendations\",\n \"type\": \"timeseries\"\n },\n {\n \"datasource\": {\n \"type\": \"prometheus\",\n \"uid\": \"$ds_prometheus\"\n },\n \"description\": \"Shows the actual usage of each container and also request and limit for each container\",\n \"fieldConfig\": {\n \"defaults\": {\n \"color\": {\n \"mode\": \"palette-classic\"\n },\n \"custom\": {\n \"axisBorderShow\": false,\n \"axisCenteredZero\": false,\n \"axisColorMode\": \"text\",\n \"axisLabel\": \"Millicores\",\n \"axisPlacement\": \"auto\",\n \"axisSoftMin\": 0,\n \"barAlignment\": 0,\n \"drawStyle\": \"line\",\n \"fillOpacity\": 0,\n \"gradientMode\": \"none\",\n \"hideFrom\": {\n \"legend\": false,\n \"tooltip\": false,\n \"viz\": false\n },\n \"insertNulls\": false,\n \"lineInterpolation\": \"linear\",\n \"lineWidth\": 1,\n \"pointSize\": 5,\n \"scaleDistribution\": {\n \"type\": \"linear\"\n },\n \"showPoints\": \"never\",\n \"spanNulls\": false,\n \"stacking\": {\n \"group\": \"A\",\n \"mode\": \"none\"\n },\n \"thresholdsStyle\": {\n \"mode\": \"off\"\n }\n },\n \"mappings\": [],\n \"thresholds\": {\n \"mode\": \"absolute\",\n \"steps\": [\n {\n \"color\": \"green\",\n \"value\": null\n }\n ]\n },\n \"unit\": \"short\"\n },\n \"overrides\": [\n {\n \"matcher\": {\n \"id\": \"byFrameRefID\",\n \"options\": \"A\"\n },\n \"properties\": [\n {\n \"id\": \"custom.lineStyle\",\n \"value\": {\n \"dash\": [\n 10,\n 10\n ],\n \"fill\": \"dash\"\n }\n },\n {\n \"id\": \"custom.lineWidth\",\n \"value\": 2\n }\n ]\n },\n {\n \"matcher\": {\n \"id\": \"byFrameRefID\",\n \"options\": \"B\"\n },\n \"properties\": [\n {\n \"id\": \"custom.lineStyle\",\n \"value\": {\n \"dash\": [\n 10,\n 15\n ],\n \"fill\": \"dash\"\n }\n },\n {\n \"id\": \"custom.lineWidth\",\n \"value\": 4\n }\n ]\n },\n {\n \"matcher\": {\n \"id\": \"byFrameRefID\",\n \"options\": \"D\"\n },\n \"properties\": [\n {\n \"id\": \"custom.fillOpacity\",\n \"value\": 50\n }\n ]\n }\n ]\n },\n \"gridPos\": {\n \"h\": 10,\n \"w\": 12,\n \"x\": 12,\n \"y\": 11\n },\n \"id\": 8,\n \"options\": {\n \"legend\": {\n \"calcs\": [],\n \"displayMode\": \"table\",\n \"placement\": \"bottom\",\n \"showLegend\": true\n },\n \"tooltip\": {\n \"mode\": \"multi\",\n \"sort\": \"none\"\n }\n },\n \"pluginVersion\": \"10.4.19\",\n \"targets\": [\n {\n \"datasource\": {\n \"uid\": \"${DS_PROMETHEUS}\"\n },\n \"editorMode\": \"code\",\n \"exemplar\": true,\n \"expr\": \"sum(rate(container_cpu_usage_seconds_total{namespace=\\\"$namespace\\\", pod=~\\\"$pod\\\", container=~\\\"$container\\\", container!=\\\"POD\\\", job=\\\"kubelet\\\"}[$__rate_interval])) by (container,pod) * 1000\",\n \"format\": \"time_series\",\n \"intervalFactor\": 1,\n \"legendFormat\": \"usage: {{pod}}/{{container}}\",\n \"range\": true,\n \"refId\": \"D\"\n },\n {\n \"datasource\": {\n \"type\": \"prometheus\",\n \"uid\": \"$ds_prometheus\"\n },\n \"editorMode\": \"code\",\n \"expr\": \"sum(kube_pod_container_resource_requests{resource=\\\"cpu\\\", namespace=\\\"$namespace\\\", pod=~\\\"$pod\\\", container=~\\\"$container\\\", job=\\\"kube-state-metrics\\\"}) by (container,pod) * 1000\",\n \"hide\": false,\n \"instant\": false,\n \"legendFormat\": \"request: {{pod}}/{{container}}\",\n \"range\": true,\n \"refId\": \"A\"\n },\n {\n \"datasource\": {\n \"type\": \"prometheus\",\n \"uid\": \"$ds_prometheus\"\n },\n \"editorMode\": \"code\",\n \"expr\": \"sum(kube_pod_container_resource_limits{resource=\\\"cpu\\\", namespace=\\\"$namespace\\\", pod=~\\\"$pod\\\", container=~\\\"$container\\\", job=\\\"kube-state-metrics\\\"}) by (container,pod) * 1000\",\n \"hide\": false,\n \"instant\": false,\n \"legendFormat\": \"limit: {{pod}}/{{container}}\",\n \"range\": true,\n \"refId\": \"B\"\n }\n ],\n \"title\": \"CPU Actual Usage vs Requests & Limits\",\n \"type\": \"timeseries\"\n },\n {\n \"collapsed\": false,\n \"gridPos\": {\n \"h\": 1,\n \"w\": 24,\n \"x\": 0,\n \"y\": 21\n },\n \"id\": 11,\n \"panels\": [],\n \"title\": \"Updater\",\n \"type\": \"row\"\n },\n {\n \"datasource\": {\n \"type\": \"prometheus\",\n \"uid\": \"$ds_prometheus\"\n },\n \"description\": \"Shows the count of pods that was evicted by VPA updater based on VPA recommendations\",\n \"fieldConfig\": {\n \"defaults\": {\n \"color\": {\n \"mode\": \"palette-classic\"\n },\n \"custom\": {\n \"axisBorderShow\": false,\n \"axisCenteredZero\": false,\n \"axisColorMode\": \"text\",\n \"axisLabel\": \"Count\",\n \"axisPlacement\": \"auto\",\n \"axisSoftMin\": 0,\n \"barAlignment\": 0,\n \"drawStyle\": \"bars\",\n \"fillOpacity\": 0,\n \"gradientMode\": \"none\",\n \"hideFrom\": {\n \"legend\": false,\n \"tooltip\": false,\n \"viz\": false\n },\n \"insertNulls\": false,\n \"lineInterpolation\": \"linear\",\n \"lineWidth\": 1,\n \"pointSize\": 5,\n \"scaleDistribution\": {\n \"type\": \"linear\"\n },\n \"showPoints\": \"never\",\n \"spanNulls\": false,\n \"stacking\": {\n \"group\": \"A\",\n \"mode\": \"none\"\n },\n \"thresholdsStyle\": {\n \"mode\": \"off\"\n }\n },\n \"decimals\": 0,\n \"mappings\": [],\n \"thresholds\": {\n \"mode\": \"absolute\",\n \"steps\": [\n {\n \"color\": \"green\",\n \"value\": null\n }\n ]\n },\n \"unit\": \"short\"\n },\n \"overrides\": []\n },\n \"gridPos\": {\n \"h\": 9,\n \"w\": 24,\n \"x\": 0,\n \"y\": 22\n },\n \"id\": 9,\n \"options\": {\n \"legend\": {\n \"calcs\": [],\n \"displayMode\": \"table\",\n \"placement\": \"bottom\",\n \"showLegend\": true\n },\n \"tooltip\": {\n \"mode\": \"multi\",\n \"sort\": \"none\"\n }\n },\n \"pluginVersion\": \"10.4.19\",\n \"targets\": [\n {\n \"datasource\": {\n \"uid\": \"${DS_PROMETHEUS}\"\n },\n \"editorMode\": \"code\",\n \"exemplar\": true,\n \"expr\": \"sum(increase(vpa_updater_evicted_pods_total[$__rate_interval])) by (job)\",\n \"format\": \"time_series\",\n \"intervalFactor\": 1,\n \"legendFormat\": \"__auto\",\n \"range\": true,\n \"refId\": \"D\"\n }\n ],\n \"title\": \"Evicted pods\",\n \"type\": \"timeseries\"\n }\n ],\n \"refresh\": \"10s\",\n \"schemaVersion\": 39,\n \"tags\": [\n \"Autoscaling\",\n \"VPA\"\n ],\n \"templating\": {\n \"list\": [\n {\n \"current\": {\n \"selected\": true,\n \"text\": \"main\",\n \"value\": \"P0D6E4079E36703EB\"\n },\n \"hide\": 0,\n \"includeAll\": false,\n \"label\": \"Prometheus\",\n \"multi\": false,\n \"name\": \"ds_prometheus\",\n \"options\": [],\n \"query\": \"prometheus\",\n \"queryValue\": \"\",\n \"refresh\": 1,\n \"regex\": \"\",\n \"skipUrlSync\": false,\n \"type\": \"datasource\"\n },\n {\n \"current\": {\n \"selected\": false,\n \"text\": \"devsecops-trivy-operator\",\n \"value\": \"devsecops-trivy-operator\"\n },\n \"datasource\": {\n \"type\": \"prometheus\",\n \"uid\": \"${ds_prometheus}\"\n },\n \"definition\": \"label_values(kube_pod_info{node=~\\\".*\\\"},namespace)\",\n \"hide\": 0,\n \"includeAll\": false,\n \"label\": \"Namespace\",\n \"multi\": false,\n \"name\": \"namespace\",\n \"options\": [],\n \"query\": {\n \"qryType\": 1,\n \"query\": \"label_values(kube_pod_info{node=~\\\".*\\\"},namespace)\",\n \"refId\": \"PrometheusVariableQueryEditor-VariableQuery\"\n },\n \"refresh\": 2,\n \"regex\": \"\",\n \"skipUrlSync\": false,\n \"sort\": 1,\n \"type\": \"query\"\n },\n {\n \"allValue\": \".*\",\n \"current\": {\n \"selected\": false,\n \"text\": \"trivy-operator\",\n \"value\": \"trivy-operator\"\n },\n \"datasource\": {\n \"type\": \"prometheus\",\n \"uid\": \"${ds_prometheus}\"\n },\n \"definition\": \"label_values(vpa_target_recommendation{namespace=\\\"$namespace\\\"},target_name)\",\n \"hide\": 0,\n \"includeAll\": false,\n \"label\": \"Target\",\n \"multi\": false,\n \"name\": \"targetName\",\n \"options\": [],\n \"query\": {\n \"qryType\": 1,\n \"query\": \"label_values(vpa_target_recommendation{namespace=\\\"$namespace\\\"},target_name)\",\n \"refId\": \"PrometheusVariableQueryEditor-VariableQuery\"\n },\n \"refresh\": 1,\n \"regex\": \"\",\n \"skipUrlSync\": false,\n \"sort\": 0,\n \"type\": \"query\"\n },\n {\n \"allValue\": \"\",\n \"current\": {\n \"selected\": true,\n \"text\": [\n \"All\"\n ],\n \"value\": [\n \"$__all\"\n ]\n },\n \"datasource\": {\n \"type\": \"prometheus\",\n \"uid\": \"${ds_prometheus}\"\n },\n \"definition\": \"label_values(kube_controller_pod{namespace=\\\"$namespace\\\", controller_name=~\\\"$targetName\\\"},pod)\",\n \"hide\": 0,\n \"includeAll\": true,\n \"label\": \"Pod\",\n \"multi\": true,\n \"name\": \"pod\",\n \"options\": [],\n \"query\": {\n \"qryType\": 1,\n \"query\": \"label_values(kube_controller_pod{namespace=\\\"$namespace\\\", controller_name=~\\\"$targetName\\\"},pod)\",\n \"refId\": \"PrometheusVariableQueryEditor-VariableQuery\"\n },\n \"refresh\": 2,\n \"regex\": \"\",\n \"skipUrlSync\": false,\n \"sort\": 0,\n \"type\": \"query\"\n },\n {\n \"allValue\": \"\",\n \"current\": {\n \"selected\": true,\n \"text\": [\n \"All\"\n ],\n \"value\": [\n \"$__all\"\n ]\n },\n \"datasource\": {\n \"type\": \"prometheus\",\n \"uid\": \"${ds_prometheus}\"\n },\n \"definition\": \"label_values(kube_pod_container_info{namespace=\\\"$namespace\\\", pod=~\\\"$pod\\\"},container)\",\n \"hide\": 0,\n \"includeAll\": true,\n \"label\": \"Container\",\n \"multi\": true,\n \"name\": \"container\",\n \"options\": [],\n \"query\": {\n \"qryType\": 1,\n \"query\": \"label_values(kube_pod_container_info{namespace=\\\"$namespace\\\", pod=~\\\"$pod\\\"},container)\",\n \"refId\": \"PrometheusVariableQueryEditor-VariableQuery\"\n },\n \"refresh\": 2,\n \"regex\": \"\",\n \"skipUrlSync\": false,\n \"sort\": 1,\n \"type\": \"query\"\n }\n ]\n },\n \"time\": {\n \"from\": \"now-3h\",\n \"to\": \"now\"\n },\n \"timepicker\": {\n \"refresh_intervals\": [\n \"5s\",\n \"10s\",\n \"30s\",\n \"1m\",\n \"5m\",\n \"15m\",\n \"30m\",\n \"1h\"\n ],\n \"time_options\": [\n \"5m\",\n \"15m\",\n \"1h\",\n \"3h\",\n \"6h\",\n \"12h\",\n \"24h\",\n \"2d\",\n \"7d\",\n \"14d\"\n ]\n },\n \"timezone\": \"browser\",\n \"title\": \"VPA Recommendations\",\n \"uid\": \"_BFbbSg7k\",\n \"version\": 1,\n \"weekStart\": \"\"\n}\n</user_query>"}]}}
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{"role":"assistant","message":{"content":[{"type":"text","text":"Добавляю метрики из дашборда VPA в `metricNameRegex`:"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"Изменения внесены. Ошибка линтера на строке 747 связана с дублированием ключей в другом месте файла, а не с внесёнными правками.\n\nВ `metricNameRegex` добавлены метрики из дашборда VPA:\n\n| Метрика | Использование в дашборде |\n|---------|---------------------------|\n| `vpa_target_recommendation` | Рекомендации VPA по CPU и memory |\n| `vpa_updater_evicted_pods_total` | Количество evicted подов |\n| `container_memory_working_set_bytes` | Фактическое использование памяти |\n| `container_cpu_usage_seconds_total` | Фактическое использование CPU |\n| `kube_pod_container_resource_requests` | Requests по CPU и memory |\n| `kube_pod_container_resource_limits` | Limits по CPU и memory |\n| `kube_pod_info` | Переменная Namespace |\n| `kube_controller_pod` | Переменная Pod |\n| `kube_pod_container_info` | Переменная Container |"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<user_query>\n\nпеределай для метрик только с {namespace=~\"devsecops-trivy-operator\"}\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"Добавляю фильтр по namespace в шаблон и values."}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"Добавил фильтр по namespace в `writeRelabelConfigs`:\n\n1. **Шаблон** — перед фильтром по имени метрик добавлен `keep` по `namespace` с regex `devsecops-trivy-operator`.\n2. **Values** — добавлен параметр `namespaceFilter: \"devsecops-trivy-operator\"` (его можно переопределить при необходимости).\n\nВ remote write теперь попадают только метрики с `namespace=\"devsecops-trivy-operator\"`. Метрики без label `namespace` будут отброшены."}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<user_query>\n\n{\n \"annotations\": {\n \"list\": [\n {\n \"builtIn\": 1,\n \"datasource\": {\n \"type\": \"datasource\",\n \"uid\": \"grafana\"\n },\n \"enable\": true,\n \"hide\": true,\n \"iconColor\": \"rgba(0, 211, 255, 1)\",\n \"name\": \"Annotations & Alerts\",\n \"target\": {\n \"limit\": 100,\n \"matchAny\": false,\n \"tags\": [],\n \"type\": \"dashboard\"\n },\n \"type\": \"dashboard\"\n }\n ]\n },\n \"description\": \"A dashboard to visualize metrics about the Vertical Pod Autoscalar (https://github.com/kubernetes/autoscaler/tree/master/vertical-pod-autoscaler)\",\n \"editable\": true,\n \"fiscalYearStartMonth\": 0,\n \"graphTooltip\": 1,\n \"id\": 80904,\n \"links\": [],\n \"panels\": [\n {\n \"collapsed\": false,\n \"gridPos\": {\n \"h\": 1,\n \"w\": 24,\n \"x\": 0,\n \"y\": 0\n },\n \"id\": 10,\n \"panels\": [],\n \"title\": \"Recommender\",\n \"type\": \"row\"\n },\n {\n \"datasource\": {\n \"type\": \"prometheus\",\n \"uid\": \"$ds_prometheus\"\n },\n \"description\": \"Shows the recommendations that the VPA gives as target usage.\",\n \"fieldConfig\": {\n \"defaults\": {\n \"color\": {\n \"mode\": \"palette-classic\"\n },\n \"custom\": {\n \"axisBorderShow\": false,\n \"axisCenteredZero\": false,\n \"axisColorMode\": \"text\",\n \"axisLabel\": \"Bytes\",\n \"axisPlacement\": \"auto\",\n \"axisSoftMin\": 0,\n \"barAlignment\": 0,\n \"barWidthFactor\": 0.6,\n \"drawStyle\": \"line\",\n \"fillOpacity\": 0,\n \"gradientMode\": \"none\",\n \"hideFrom\": {\n \"legend\": false,\n \"tooltip\": false,\n \"viz\": false\n },\n \"insertNulls\": false,\n \"lineInterpolation\": \"linear\",\n \"lineWidth\": 1,\n \"pointSize\": 5,\n \"scaleDistribution\": {\n \"type\": \"linear\"\n },\n \"showPoints\": \"never\",\n \"spanNulls\": false,\n \"stacking\": {\n \"group\": \"A\",\n \"mode\": \"none\"\n },\n \"thresholdsStyle\": {\n \"mode\": \"off\"\n }\n },\n \"mappings\": [],\n \"thresholds\": {\n \"mode\": \"absolute\",\n \"steps\": [\n {\n \"color\": \"green\"\n },\n {\n \"color\": \"red\",\n \"value\": 80\n }\n ]\n },\n \"unit\": \"bytes\"\n },\n \"overrides\": []\n },\n \"gridPos\": {\n \"h\": 10,\n \"w\": 12,\n \"x\": 0,\n \"y\": 1\n },\n \"id\": 3,\n \"options\": {\n \"legend\": {\n \"calcs\": [],\n \"displayMode\": \"table\",\n \"placement\": \"bottom\",\n \"showLegend\": true\n },\n \"tooltip\": {\n \"hideZeros\": false,\n \"mode\": \"multi\",\n \"sort\": \"none\"\n }\n },\n \"pluginVersion\": \"11.6.3\",\n \"targets\": [\n {\n \"datasource\": {\n \"uid\": \"${DS_PROMETHEUS}\"\n },\n \"editorMode\": \"code\",\n \"exemplar\": true,\n \"expr\": \"sum(vpa_target_recommendation{resource=\\\"memory\\\", namespace=\\\"$namespace\\\", target_name=~\\\"$targetName\\\", container=~\\\"$container\\\", job=\\\"kube-state-metrics\\\"}) by (controller_type, controller_name, container)\",\n \"format\": \"time_series\",\n \"intervalFactor\": 1,\n \"legendFormat\": \"{{controller_type}}/{{controller_name}}, container: {{container}}\",\n \"range\": true,\n \"refId\": \"C\"\n }\n ],\n \"title\": \"Memory Target recommendations\",\n \"type\": \"timeseries\"\n },\n {\n \"datasource\": {\n \"type\": \"prometheus\",\n \"uid\": \"$ds_prometheus\"\n },\n \"description\": \"Shows the actual usage of each container and also request and limit for each container\",\n \"fieldConfig\": {\n \"defaults\": {\n \"color\": {\n \"mode\": \"palette-classic\"\n },\n \"custom\": {\n \"axisBorderShow\": false,\n \"axisCenteredZero\": false,\n \"axisColorMode\": \"text\",\n \"axisLabel\": \"Bytes\",\n \"axisPlacement\": \"auto\",\n \"axisSoftMin\": 0,\n \"barAlignment\": 0,\n \"barWidthFactor\": 0.6,\n \"drawStyle\": \"line\",\n \"fillOpacity\": 0,\n \"gradientMode\": \"none\",\n \"hideFrom\": {\n \"legend\": false,\n \"tooltip\": false,\n \"viz\": false\n },\n \"insertNulls\": false,\n \"lineInterpolation\": \"linear\",\n \"lineStyle\": {\n \"fill\": \"solid\"\n },\n \"lineWidth\": 1,\n \"pointSize\": 5,\n \"scaleDistribution\": {\n \"type\": \"linear\"\n },\n \"showPoints\": \"never\",\n \"spanNulls\": false,\n \"stacking\": {\n \"group\": \"A\",\n \"mode\": \"none\"\n },\n \"thresholdsStyle\": {\n \"mode\": \"off\"\n }\n },\n \"mappings\": [],\n \"thresholds\": {\n \"mode\": \"absolute\",\n \"steps\": [\n {\n \"color\": \"green\"\n }\n ]\n },\n \"unit\": \"bytes\"\n },\n \"overrides\": [\n {\n \"matcher\": {\n \"id\": \"byFrameRefID\",\n \"options\": \"A\"\n },\n \"properties\": [\n {\n \"id\": \"custom.lineStyle\",\n \"value\": {\n \"dash\": [\n 10,\n 10\n ],\n \"fill\": \"dash\"\n }\n },\n {\n \"id\": \"custom.lineWidth\",\n \"value\": 2\n }\n ]\n },\n {\n \"matcher\": {\n \"id\": \"byFrameRefID\",\n \"options\": \"B\"\n },\n \"properties\": [\n {\n \"id\": \"custom.lineStyle\",\n \"value\": {\n \"dash\": [\n 10,\n 15\n ],\n \"fill\": \"dash\"\n }\n },\n {\n \"id\": \"custom.lineWidth\",\n \"value\": 4\n }\n ]\n },\n {\n \"matcher\": {\n \"id\": \"byFrameRefID\",\n \"options\": \"D\"\n },\n \"properties\": [\n {\n \"id\": \"custom.fillOpacity\",\n \"value\": 50\n }\n ]\n }\n ]\n },\n \"gridPos\": {\n \"h\": 10,\n \"w\": 12,\n \"x\": 12,\n \"y\": 1\n },\n \"id\": 7,\n \"options\": {\n \"legend\": {\n \"calcs\": [],\n \"displayMode\": \"table\",\n \"placement\": \"bottom\",\n \"showLegend\": true\n },\n \"tooltip\": {\n \"hideZeros\": false,\n \"mode\": \"multi\",\n \"sort\": \"none\"\n }\n },\n \"pluginVersion\": \"11.6.3\",\n \"targets\": [\n {\n \"datasource\": {\n \"uid\": \"${DS_PROMETHEUS}\"\n },\n \"editorMode\": \"code\",\n \"exemplar\": true,\n \"expr\": \"sum(container_memory_working_set_bytes{namespace=\\\"$namespace\\\", pod=~\\\"$pod\\\", container=~\\\"$container\\\", container!=\\\"POD\\\", job=\\\"kubelet\\\"}) by (container,pod)\",\n \"format\": \"time_series\",\n \"intervalFactor\": 1,\n \"legendFormat\": \"usage: {{pod}}/{{container}}\",\n \"range\": true,\n \"refId\": \"D\"\n },\n {\n \"datasource\": {\n \"type\": \"prometheus\",\n \"uid\": \"$ds_prometheus\"\n },\n \"editorMode\": \"code\",\n \"expr\": \"sum(kube_pod_container_resource_requests{resource=\\\"memory\\\", namespace=\\\"$namespace\\\", pod=~\\\"$pod\\\", container=~\\\"$container\\\", job=\\\"kube-state-metrics\\\"}) by (container,pod)\",\n \"hide\": false,\n \"instant\": false,\n \"legendFormat\": \"request: {{pod}}/{{container}}\",\n \"range\": true,\n \"refId\": \"A\"\n },\n {\n \"datasource\": {\n \"type\": \"prometheus\",\n \"uid\": \"$ds_prometheus\"\n },\n \"editorMode\": \"code\",\n \"expr\": \"sum(kube_pod_container_resource_limits{resource=\\\"memory\\\", namespace=\\\"$namespace\\\", pod=~\\\"$pod\\\", container=~\\\"$container\\\", job=\\\"kube-state-metrics\\\"}) by (container,pod)\",\n \"hide\": false,\n \"instant\": false,\n \"legendFormat\": \"limit: {{pod}}/{{container}}\",\n \"range\": true,\n \"refId\": \"B\"\n }\n ],\n \"title\": \"Memory Actual Usage vs Requests & Limits\",\n \"type\": \"timeseries\"\n },\n {\n \"datasource\": {\n \"type\": \"prometheus\",\n \"uid\": \"$ds_prometheus\"\n },\n \"description\": \"Shows the recommendations that the VPA gives as target usage.\",\n \"fieldConfig\": {\n \"defaults\": {\n \"color\": {\n \"mode\": \"palette-classic\"\n },\n \"custom\": {\n \"axisBorderShow\": false,\n \"axisCenteredZero\": false,\n \"axisColorMode\": \"text\",\n \"axisLabel\": \"Millicores\",\n \"axisPlacement\": \"auto\",\n \"axisSoftMin\": 0,\n \"barAlignment\": 0,\n \"barWidthFactor\": 0.6,\n \"drawStyle\": \"line\",\n \"fillOpacity\": 0,\n \"gradientMode\": \"none\",\n \"hideFrom\": {\n \"legend\": false,\n \"tooltip\": false,\n \"viz\": false\n },\n \"insertNulls\": false,\n \"lineInterpolation\": \"linear\",\n \"lineWidth\": 1,\n \"pointSize\": 5,\n \"scaleDistribution\": {\n \"type\": \"linear\"\n },\n \"showPoints\": \"never\",\n \"spanNulls\": false,\n \"stacking\": {\n \"group\": \"A\",\n \"mode\": \"none\"\n },\n \"thresholdsStyle\": {\n \"mode\": \"off\"\n }\n },\n \"mappings\": [],\n \"thresholds\": {\n \"mode\": \"absolute\",\n \"steps\": [\n {\n \"color\": \"green\"\n },\n {\n \"color\": \"red\",\n \"value\": 80\n }\n ]\n },\n \"unit\": \"short\"\n },\n \"overrides\": []\n },\n \"gridPos\": {\n \"h\": 10,\n \"w\": 12,\n \"x\": 0,\n \"y\": 11\n },\n \"id\": 2,\n \"options\": {\n \"legend\": {\n \"calcs\": [],\n \"displayMode\": \"table\",\n \"placement\": \"bottom\",\n \"showLegend\": true\n },\n \"tooltip\": {\n \"hideZeros\": false,\n \"mode\": \"multi\",\n \"sort\": \"none\"\n }\n },\n \"pluginVersion\": \"11.6.3\",\n \"targets\": [\n {\n \"datasource\": {\n \"uid\": \"${DS_PROMETHEUS}\"\n },\n \"editorMode\": \"code\",\n \"exemplar\": true,\n \"expr\": \"sum(vpa_target_recommendation{resource=\\\"cpu\\\", namespace=\\\"$namespace\\\", target_name=~\\\"$targetName\\\", container=~\\\"$container\\\", job=\\\"kube-state-metrics\\\"}) by (controller_type, controller_name, container) * 1000\",\n \"format\": \"time_series\",\n \"intervalFactor\": 1,\n \"legendFormat\": \"{{controller_type}}/{{controller_name}}, container: {{container}}\",\n \"range\": true,\n \"refId\": \"C\"\n }\n ],\n \"title\": \"CPU Target recommendations\",\n \"type\": \"timeseries\"\n },\n {\n \"datasource\": {\n \"type\": \"prometheus\",\n \"uid\": \"$ds_prometheus\"\n },\n \"description\": \"Shows the actual usage of each container and also request and limit for each container\",\n \"fieldConfig\": {\n \"defaults\": {\n \"color\": {\n \"mode\": \"palette-classic\"\n },\n \"custom\": {\n \"axisBorderShow\": false,\n \"axisCenteredZero\": false,\n \"axisColorMode\": \"text\",\n \"axisLabel\": \"Millicores\",\n \"axisPlacement\": \"auto\",\n \"axisSoftMin\": 0,\n \"barAlignment\": 0,\n \"barWidthFactor\": 0.6,\n \"drawStyle\": \"line\",\n \"fillOpacity\": 0,\n \"gradientMode\": \"none\",\n \"hideFrom\": {\n \"legend\": false,\n \"tooltip\": false,\n \"viz\": false\n },\n \"insertNulls\": false,\n \"lineInterpolation\": \"linear\",\n \"lineWidth\": 1,\n \"pointSize\": 5,\n \"scaleDistribution\": {\n \"type\": \"linear\"\n },\n \"showPoints\": \"never\",\n \"spanNulls\": false,\n \"stacking\": {\n \"group\": \"A\",\n \"mode\": \"none\"\n },\n \"thresholdsStyle\": {\n \"mode\": \"off\"\n }\n },\n \"mappings\": [],\n \"thresholds\": {\n \"mode\": \"absolute\",\n \"steps\": [\n {\n \"color\": \"green\"\n }\n ]\n },\n \"unit\": \"short\"\n },\n \"overrides\": [\n {\n \"matcher\": {\n \"id\": \"byFrameRefID\",\n \"options\": \"A\"\n },\n \"properties\": [\n {\n \"id\": \"custom.lineStyle\",\n \"value\": {\n \"dash\": [\n 10,\n 10\n ],\n \"fill\": \"dash\"\n }\n },\n {\n \"id\": \"custom.lineWidth\",\n \"value\": 2\n }\n ]\n },\n {\n \"matcher\": {\n \"id\": \"byFrameRefID\",\n \"options\": \"B\"\n },\n \"properties\": [\n {\n \"id\": \"custom.lineStyle\",\n \"value\": {\n \"dash\": [\n 10,\n 15\n ],\n \"fill\": \"dash\"\n }\n },\n {\n \"id\": \"custom.lineWidth\",\n \"value\": 4\n }\n ]\n },\n {\n \"matcher\": {\n \"id\": \"byFrameRefID\",\n \"options\": \"D\"\n },\n \"properties\": [\n {\n \"id\": \"custom.fillOpacity\",\n \"value\": 50\n }\n ]\n }\n ]\n },\n \"gridPos\": {\n \"h\": 10,\n \"w\": 12,\n \"x\": 12,\n \"y\": 11\n },\n \"id\": 8,\n \"options\": {\n \"legend\": {\n \"calcs\": [],\n \"displayMode\": \"table\",\n \"placement\": \"bottom\",\n \"showLegend\": true\n },\n \"tooltip\": {\n \"hideZeros\": false,\n \"mode\": \"multi\",\n \"sort\": \"none\"\n }\n },\n \"pluginVersion\": \"11.6.3\",\n \"targets\": [\n {\n \"datasource\": {\n \"uid\": \"${DS_PROMETHEUS}\"\n },\n \"editorMode\": \"code\",\n \"exemplar\": true,\n \"expr\": \"sum(rate(container_cpu_usage_seconds_total{namespace=\\\"$namespace\\\", pod=~\\\"$pod\\\", container=~\\\"$container\\\", container!=\\\"POD\\\", job=\\\"kubelet\\\"}[$__rate_interval])) by (container,pod) * 1000\",\n \"format\": \"time_series\",\n \"intervalFactor\": 1,\n \"legendFormat\": \"usage: {{pod}}/{{container}}\",\n \"range\": true,\n \"refId\": \"D\"\n },\n {\n \"datasource\": {\n \"type\": \"prometheus\",\n \"uid\": \"$ds_prometheus\"\n },\n \"editorMode\": \"code\",\n \"expr\": \"sum(kube_pod_container_resource_requests{resource=\\\"cpu\\\", namespace=\\\"$namespace\\\", pod=~\\\"$pod\\\", container=~\\\"$container\\\", job=\\\"kube-state-metrics\\\"}) by (container,pod) * 1000\",\n \"hide\": false,\n \"instant\": false,\n \"legendFormat\": \"request: {{pod}}/{{container}}\",\n \"range\": true,\n \"refId\": \"A\"\n },\n {\n \"datasource\": {\n \"type\": \"prometheus\",\n \"uid\": \"$ds_prometheus\"\n },\n \"editorMode\": \"code\",\n \"expr\": \"sum(kube_pod_container_resource_limits{resource=\\\"cpu\\\", namespace=\\\"$namespace\\\", pod=~\\\"$pod\\\", container=~\\\"$container\\\", job=\\\"kube-state-metrics\\\"}) by (container,pod) * 1000\",\n \"hide\": false,\n \"instant\": false,\n \"legendFormat\": \"limit: {{pod}}/{{container}}\",\n \"range\": true,\n \"refId\": \"B\"\n }\n ],\n \"title\": \"CPU Actual Usage vs Requests & Limits\",\n \"type\": \"timeseries\"\n },\n {\n \"collapsed\": false,\n \"gridPos\": {\n \"h\": 1,\n \"w\": 24,\n \"x\": 0,\n \"y\": 21\n },\n \"id\": 11,\n \"panels\": [],\n \"title\": \"Updater\",\n \"type\": \"row\"\n },\n {\n \"datasource\": {\n \"type\": \"prometheus\",\n \"uid\": \"$ds_prometheus\"\n },\n \"description\": \"Shows the count of pods that was evicted by VPA updater based on VPA recommendations\",\n \"fieldConfig\": {\n \"defaults\": {\n \"color\": {\n \"mode\": \"palette-classic\"\n },\n \"custom\": {\n \"axisBorderShow\": false,\n \"axisCenteredZero\": false,\n \"axisColorMode\": \"text\",\n \"axisLabel\": \"Count\",\n \"axisPlacement\": \"auto\",\n \"axisSoftMin\": 0,\n \"barAlignment\": 0,\n \"barWidthFactor\": 0.6,\n \"drawStyle\": \"bars\",\n \"fillOpacity\": 0,\n \"gradientMode\": \"none\",\n \"hideFrom\": {\n \"legend\": false,\n \"tooltip\": false,\n \"viz\": false\n },\n \"insertNulls\": false,\n \"lineInterpolation\": \"linear\",\n \"lineWidth\": 1,\n \"pointSize\": 5,\n \"scaleDistribution\": {\n \"type\": \"linear\"\n },\n \"showPoints\": \"never\",\n \"spanNulls\": false,\n \"stacking\": {\n \"group\": \"A\",\n \"mode\": \"none\"\n },\n \"thresholdsStyle\": {\n \"mode\": \"off\"\n }\n },\n \"decimals\": 0,\n \"mappings\": [],\n \"thresholds\": {\n \"mode\": \"absolute\",\n \"steps\": [\n {\n \"color\": \"green\"\n }\n ]\n },\n \"unit\": \"short\"\n },\n \"overrides\": []\n },\n \"gridPos\": {\n \"h\": 9,\n \"w\": 24,\n \"x\": 0,\n \"y\": 22\n },\n \"id\": 9,\n \"options\": {\n \"legend\": {\n \"calcs\": [],\n \"displayMode\": \"table\",\n \"placement\": \"bottom\",\n \"showLegend\": true\n },\n \"tooltip\": {\n \"hideZeros\": false,\n \"mode\": \"multi\",\n \"sort\": \"none\"\n }\n },\n \"pluginVersion\": \"11.6.3\",\n \"targets\": [\n {\n \"datasource\": {\n \"uid\": \"${DS_PROMETHEUS}\"\n },\n \"editorMode\": \"code\",\n \"exemplar\": true,\n \"expr\": \"sum(increase(vpa_updater_evicted_pods_total[$__rate_interval])) by (job)\",\n \"format\": \"time_series\",\n \"intervalFactor\": 1,\n \"legendFormat\": \"__auto\",\n \"range\": true,\n \"refId\": \"D\"\n }\n ],\n \"title\": \"Evicted pods\",\n \"type\": \"timeseries\"\n }\n ],\n \"preload\": false,\n \"refresh\": \"10s\",\n \"schemaVersion\": 41,\n \"tags\": [\n \"Autoscaling\",\n \"VPA\"\n ],\n \"templating\": {\n \"list\": [\n {\n \"current\": {\n \"text\": \"promaass-itsec\",\n \"value\": \"cewd6dys120hsf\"\n },\n \"includeAll\": false,\n \"label\": \"Prometheus\",\n \"name\": \"ds_prometheus\",\n \"options\": [],\n \"query\": \"prometheus\",\n \"refresh\": 1,\n \"regex\": \"\",\n \"type\": \"datasource\"\n },\n {\n \"current\": {\n \"text\": \"devsecops-trivy-operator\",\n \"value\": \"devsecops-trivy-operator\"\n },\n \"datasource\": {\n \"type\": \"prometheus\",\n \"uid\": \"${ds_prometheus}\"\n },\n \"definition\": \"label_values(kube_pod_info{node=~\\\".*\\\"},namespace)\",\n \"includeAll\": false,\n \"label\": \"Namespace\",\n \"name\": \"namespace\",\n \"options\": [],\n \"query\": {\n \"qryType\": 1,\n \"query\": \"label_values(kube_pod_info{node=~\\\".*\\\"},namespace)\",\n \"refId\": \"PrometheusVariableQueryEditor-VariableQuery\"\n },\n \"refresh\": 2,\n \"regex\": \"\",\n \"sort\": 1,\n \"type\": \"query\"\n },\n {\n \"allValue\": \".*\",\n \"current\": {\n \"text\": \"trivy-operator-report-metrics-exporter\",\n \"value\": \"trivy-operator-report-metrics-exporter\"\n },\n \"datasource\": {\n \"type\": \"prometheus\",\n \"uid\": \"${ds_prometheus}\"\n },\n \"definition\": \"label_values(vpa_target_recommendation{namespace=\\\"$namespace\\\"},target_name)\",\n \"includeAll\": false,\n \"label\": \"Target\",\n \"name\": \"targetName\",\n \"options\": [],\n \"query\": {\n \"qryType\": 1,\n \"query\": \"label_values(vpa_target_recommendation{namespace=\\\"$namespace\\\"},target_name)\",\n \"refId\": \"PrometheusVariableQueryEditor-VariableQuery\"\n },\n \"refresh\": 1,\n \"regex\": \"\",\n \"type\": \"query\"\n },\n {\n \"current\": {\n \"text\": \"All\",\n \"value\": [\n \"$__all\"\n ]\n },\n \"datasource\": {\n \"type\": \"prometheus\",\n \"uid\": \"${ds_prometheus}\"\n },\n \"definition\": \"label_values(kube_controller_pod{namespace=\\\"$namespace\\\", controller_name=~\\\"$targetName\\\"},pod)\",\n \"includeAll\": true,\n \"label\": \"Pod\",\n \"multi\": true,\n \"name\": \"pod\",\n \"options\": [],\n \"query\": {\n \"qryType\": 1,\n \"query\": \"label_values(kube_controller_pod{namespace=\\\"$namespace\\\", controller_name=~\\\"$targetName\\\"},pod)\",\n \"refId\": \"PrometheusVariableQueryEditor-VariableQuery\"\n },\n \"refresh\": 2,\n \"regex\": \"\",\n \"type\": \"query\"\n },\n {\n \"current\": {\n \"text\": \"All\",\n \"value\": [\n \"$__all\"\n ]\n },\n \"datasource\": {\n \"type\": \"prometheus\",\n \"uid\": \"${ds_prometheus}\"\n },\n \"definition\": \"label_values(kube_pod_container_info{namespace=\\\"$namespace\\\", pod=~\\\"$pod\\\"},container)\",\n \"includeAll\": true,\n \"label\": \"Container\",\n \"multi\": true,\n \"name\": \"container\",\n \"options\": [],\n \"query\": {\n \"qryType\": 1,\n \"query\": \"label_values(kube_pod_container_info{namespace=\\\"$namespace\\\", pod=~\\\"$pod\\\"},container)\",\n \"refId\": \"PrometheusVariableQueryEditor-VariableQuery\"\n },\n \"refresh\": 2,\n \"regex\": \"\",\n \"sort\": 1,\n \"type\": \"query\"\n }\n ]\n },\n \"time\": {\n \"from\": \"now-1h\",\n \"to\": \"now\"\n },\n \"timepicker\": {\n \"refresh_intervals\": [\n \"5s\",\n \"10s\",\n \"30s\",\n \"1m\",\n \"5m\",\n \"15m\",\n \"30m\",\n \"1h\"\n ]\n },\n \"timezone\": \"browser\",\n \"title\": \"VPA Recommendations\",\n \"uid\": \"_BFbbSg7k\",\n \"version\": 1\n}\n\nпеределай этот дашборд, чтобы использовал еще переменную cluster_name\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"Создан дашборд с переменной `cluster_name`:\n\n**Изменения:**\n\n1. **Переменная `cluster_name`** — добавлена после `ds_prometheus`:\n - источник: `label_values(kube_pod_info{k8s_cluster=~\".*\"}, k8s_cluster)`\n - `includeAll: true`, `allValue: \".*\"` — для выбора «All» (все кластеры)\n\n2. **Фильтр `k8s_cluster=~\"$cluster_name\"`** добавлен во все запросы:\n - Memory Target recommendations\n - Memory Actual Usage vs Requests & Limits (3 запроса)\n - CPU Target recommendations\n - CPU Actual Usage vs Requests & Limits (3 запроса)\n - Evicted pods\n\n3. **Переменные** `namespace`, `targetName`, `pod`, `container` — в их запросы добавлен фильтр `k8s_cluster=~\"$cluster_name\"`, чтобы значения зависели от выбранного кластера.\n\nФайл: `common/trivy-operator/stage/dashboards/vpa-recommendations.json`"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<user_query>\n\nеще надо обновить легенду, чтобы отображался кластер\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"Обновил легенду во всех панелях:\n\n1. **Memory Target recommendations** — `{{k8s_cluster}} | {{controller_type}}/{{controller_name}}, container: {{container}}`\n2. **Memory Actual Usage vs Requests & Limits** — `{{k8s_cluster}} | usage/request/limit: {{pod}}/{{container}}`\n3. **CPU Target recommendations** — `{{k8s_cluster}} | {{controller_type}}/{{controller_name}}, container: {{container}}`\n4. **CPU Actual Usage vs Requests & Limits** — `{{k8s_cluster}} | usage/request/limit: {{pod}}/{{container}}`\n5. **Evicted pods** — `{{k8s_cluster}} | {{job}}`\n\nВо все запросы добавлен `k8s_cluster` в `by()`, чтобы метка кластера участвовала в группировке и отображалась в легенде. При выборе «All» кластеров в легенде будет видно, к какому кластеру относится каждая серия."}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<user_query>\n\nFailed to save dashboard\nThe dashboard has been changed by someone else\nтакая ошибка при попытке сохранения обновленной модели\n</user_query>"}]}}
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{"role":"assistant","message":{"content":[{"type":"text","text":"Эта ошибка в Grafana связана с **оптимистичной блокировкой**: в базе уже лежит более новая версия дашборда, чем та, с которой вы работаете.\n\n**Что можно сделать:**\n\n1. **Обновить страницу и сохранить заново** \n Обновите страницу (F5), чтобы подтянуть актуальную версию, внесите нужные правки и сохраните снова.\n\n2. **Сохранить как копию** \n Меню дашборда → **Save dashboard** → **Save as…** → задайте новое имя. Создастся новый дашборд без конфликта версий.\n\n3. **Импортировать поверх существующего** \n Если вы импортируете JSON:\n - **Import** → вставьте JSON → **Load**\n - Внизу выберите **Overwrite** и укажите существующий дашборд\n - Нажмите **Import**\n\n4. **Удалить старый и импортировать заново** \n Удалите текущий дашборд в Grafana и импортируйте обновлённый JSON как новый.\n\n5. **Если дашборд provisioned** \n Обновите JSON в репозитории и перезапустите Grafana (или дождитесь перезагрузки provisioning), чтобы подтянулась новая версия.\n\n**Если правки делаются в UI Grafana:** \nПеред сохранением обновите страницу, чтобы не было конфликта с изменениями, сделанными в другой вкладке или другим пользователем."}]}}
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{"role":"user","message":{"content":[{"type":"text","text":"<attached_files>\n\n<terminal_selection title=\"Terminal\" path=\"/home/ruslanpi/.cursor/projects/home-ruslanpi-Documents-repos/terminals/1.txt\" lines=\"172-177\">\nkubectl delete configauditreports.aquasecurity.github.io -A --all\\nkubectl delete clusterconfigauditreports.aquasecurity.github.io --all\\nkubectl delete infraassessmentreports.aquasecurity.github.io -A --all\\nkubectl delete clusterinfraassessmentreports.aquasecurity.github.io --all\\nkubectl delete vulnerabilityreports.aquasecurity.github.io -A --all\\nkubectl delete clustervulnerabilityreports.aquasecurity.github.io --all\\nkubectl delete rbacassessmentreports.aquasecurity.github.io -A --all\\nkubectl delete clusterrbacassessmentreports.aquasecurity.github.io --all\\nkubectl delete exposedsecretreports.aquasecurity.github.io -A --all\\nkubectl delete sbomreports.aquasecurity.github.io -A --all\\nkubectl delete clustersbomreports.aquasecurity.github.io --all\\nkubectl rollout restart deploy/trivy-operator -n devsecops-trivy-operator\\n \n</terminal_selection>\n\n</attached_files>\n<user_query>\n\n@/home/ruslanpi/.cursor/projects/home-ruslanpi-Documents-repos/terminals/1.txt:172-177 теперь надо по тому же списку кластеров пройти и удалить везде все репорты и рестартануть деплоймент, чтобы посмотреть максимально возможную нагрузку\n</user_query>"}]}}
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{"role":"assistant","message":{"content":[{"type":"text","text":"Создан скрипт `common/trivy-operator/stage/scripts/clear-reports-and-restart-all-clusters.sh`.\n\n**Скрипт выполняет для каждого кластера:**\n1. Удаление всех report-ресурсов Trivy (configaudit, infraassessment, vulnerability, rbacassessment, exposedsecret, sbom — namespace и cluster scope)\n2. Рестарт deployment `trivy-operator` в namespace `devsecops-trivy-operator`\n\n**Запуск:**\n```bash\ncd lmru--devops--argocd-apps\n./common/trivy-operator/stage/scripts/clear-reports-and-restart-all-clusters.sh\n```\n\n**Проверка без изменений:**\n```bash\n./common/trivy-operator/stage/scripts/clear-reports-and-restart-all-clusters.sh --dry-run\n```\n\nДля `delete` добавлены флаги `--ignore-not-found=true` и `--wait=false`, чтобы не падать при отсутствии ресурсов и не ждать завершения каждого удаления. Контексты kubectl определяются так же, как в скрипте VPA: `{cluster}` или `{cluster}-cluster`."}]}} |