diff --git a/app/vlselect/vmui/asset-manifest.json b/app/vlselect/vmui/asset-manifest.json index 49b7e0579..0f707c9d8 100644 --- a/app/vlselect/vmui/asset-manifest.json +++ b/app/vlselect/vmui/asset-manifest.json @@ -1,13 +1,13 @@ { "files": { - "main.css": "./static/css/main.1041c3d4.css", - "main.js": "./static/js/main.8451d9b9.js", + "main.css": "./static/css/main.c9cc37dd.css", + "main.js": "./static/js/main.7ae2e2c4.js", "static/js/685.bebe1265.chunk.js": "./static/js/685.bebe1265.chunk.js", - "static/media/MetricsQL.md": "./static/media/MetricsQL.d46c42c8e891f06298c4.md", + "static/media/MetricsQL.md": "./static/media/MetricsQL.8c2e588d62b87f90dbf0.md", "index.html": "./index.html" }, "entrypoints": [ - "static/css/main.1041c3d4.css", - "static/js/main.8451d9b9.js" + "static/css/main.c9cc37dd.css", + "static/js/main.7ae2e2c4.js" ] } \ No newline at end of file diff --git a/app/vlselect/vmui/index.html b/app/vlselect/vmui/index.html index 1453de3a8..cb0dc883e 100644 --- a/app/vlselect/vmui/index.html +++ b/app/vlselect/vmui/index.html @@ -1 +1 @@ -VM UI
\ No newline at end of file +VM UI
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udde6",new_caledonia:"\ud83c\uddf3\ud83c\udde8",niger:"\ud83c\uddf3\ud83c\uddea",norfolk_island:"\ud83c\uddf3\ud83c\uddeb",nigeria:"\ud83c\uddf3\ud83c\uddec",nicaragua:"\ud83c\uddf3\ud83c\uddee",netherlands:"\ud83c\uddf3\ud83c\uddf1",norway:"\ud83c\uddf3\ud83c\uddf4",nepal:"\ud83c\uddf3\ud83c\uddf5",nauru:"\ud83c\uddf3\ud83c\uddf7",niue:"\ud83c\uddf3\ud83c\uddfa",new_zealand:"\ud83c\uddf3\ud83c\uddff",oman:"\ud83c\uddf4\ud83c\uddf2",panama:"\ud83c\uddf5\ud83c\udde6",peru:"\ud83c\uddf5\ud83c\uddea",french_polynesia:"\ud83c\uddf5\ud83c\uddeb",papua_new_guinea:"\ud83c\uddf5\ud83c\uddec",philippines:"\ud83c\uddf5\ud83c\udded",pakistan:"\ud83c\uddf5\ud83c\uddf0",poland:"\ud83c\uddf5\ud83c\uddf1",st_pierre_miquelon:"\ud83c\uddf5\ud83c\uddf2",pitcairn_islands:"\ud83c\uddf5\ud83c\uddf3",puerto_rico:"\ud83c\uddf5\ud83c\uddf7",palestinian_territories:"\ud83c\uddf5\ud83c\uddf8",portugal:"\ud83c\uddf5\ud83c\uddf9",palau:"\ud83c\uddf5\ud83c\uddfc",paraguay:"\ud83c\uddf5\ud83c\uddfe",qatar:"\ud83c\uddf6\ud83c\udde6",reunion:"\ud83c\uddf7\ud83c\uddea",romania:"\ud83c\uddf7\ud83c\uddf4",serbia:"\ud83c\uddf7\ud83c\uddf8",ru:"\ud83c\uddf7\ud83c\uddfa",rwanda:"\ud83c\uddf7\ud83c\uddfc",saudi_arabia:"\ud83c\uddf8\ud83c\udde6",solomon_islands:"\ud83c\uddf8\ud83c\udde7",seychelles:"\ud83c\uddf8\ud83c\udde8",sudan:"\ud83c\uddf8\ud83c\udde9",sweden:"\ud83c\uddf8\ud83c\uddea",singapore:"\ud83c\uddf8\ud83c\uddec",st_helena:"\ud83c\uddf8\ud83c\udded",slovenia:"\ud83c\uddf8\ud83c\uddee",svalbard_jan_mayen:"\ud83c\uddf8\ud83c\uddef",slovakia:"\ud83c\uddf8\ud83c\uddf0",sierra_leone:"\ud83c\uddf8\ud83c\uddf1",san_marino:"\ud83c\uddf8\ud83c\uddf2",senegal:"\ud83c\uddf8\ud83c\uddf3",somalia:"\ud83c\uddf8\ud83c\uddf4",suriname:"\ud83c\uddf8\ud83c\uddf7",south_sudan:"\ud83c\uddf8\ud83c\uddf8",sao_tome_principe:"\ud83c\uddf8\ud83c\uddf9",el_salvador:"\ud83c\uddf8\ud83c\uddfb",sint_maarten:"\ud83c\uddf8\ud83c\uddfd",syria:"\ud83c\uddf8\ud83c\uddfe",swaziland:"\ud83c\uddf8\ud83c\uddff",tristan_da_cunha:"\ud83c\uddf9\ud83c\udde6",turks_caicos_islands:"\ud83c\uddf9\ud83c\udde8",chad:"\ud83c\uddf9\ud83c\udde9",french_southern_territories:"\ud83c\uddf9\ud83c\uddeb",togo:"\ud83c\uddf9\ud83c\uddec",thailand:"\ud83c\uddf9\ud83c\udded",tajikistan:"\ud83c\uddf9\ud83c\uddef",tokelau:"\ud83c\uddf9\ud83c\uddf0",timor_leste:"\ud83c\uddf9\ud83c\uddf1",turkmenistan:"\ud83c\uddf9\ud83c\uddf2",tunisia:"\ud83c\uddf9\ud83c\uddf3",tonga:"\ud83c\uddf9\ud83c\uddf4",tr:"\ud83c\uddf9\ud83c\uddf7",trinidad_tobago:"\ud83c\uddf9\ud83c\uddf9",tuvalu:"\ud83c\uddf9\ud83c\uddfb",taiwan:"\ud83c\uddf9\ud83c\uddfc",tanzania:"\ud83c\uddf9\ud83c\uddff",ukraine:"\ud83c\uddfa\ud83c\udde6",uganda:"\ud83c\uddfa\ud83c\uddec",us_outlying_islands:"\ud83c\uddfa\ud83c\uddf2",united_nations:"\ud83c\uddfa\ud83c\uddf3",us:"\ud83c\uddfa\ud83c\uddf8",uruguay:"\ud83c\uddfa\ud83c\uddfe",uzbekistan:"\ud83c\uddfa\ud83c\uddff",vatican_city:"\ud83c\uddfb\ud83c\udde6",st_vincent_grenadines:"\ud83c\uddfb\ud83c\udde8",venezuela:"\ud83c\uddfb\ud83c\uddea",british_virgin_islands:"\ud83c\uddfb\ud83c\uddec",us_virgin_islands:"\ud83c\uddfb\ud83c\uddee",vietnam:"\ud83c\uddfb\ud83c\uddf3",vanuatu:"\ud83c\uddfb\ud83c\uddfa",wallis_futuna:"\ud83c\uddfc\ud83c\uddeb",samoa:"\ud83c\uddfc\ud83c\uddf8",kosovo:"\ud83c\uddfd\ud83c\uddf0",yemen:"\ud83c\uddfe\ud83c\uddea",mayotte:"\ud83c\uddfe\ud83c\uddf9",south_africa:"\ud83c\uddff\ud83c\udde6",zambia:"\ud83c\uddff\ud83c\uddf2",zimbabwe:"\ud83c\uddff\ud83c\uddfc",england:"\ud83c\udff4\udb40\udc67\udb40\udc62\udb40\udc65\udb40\udc6e\udb40\udc67\udb40\udc7f",scotland:"\ud83c\udff4\udb40\udc67\udb40\udc62\udb40\udc73\udb40\udc63\udb40\udc74\udb40\udc7f",wales:"\ud83c\udff4\udb40\udc67\udb40\udc62\udb40\udc77\udb40\udc6c\udb40\udc73\udb40\udc7f"},renderer:e=>e.emoji}));const 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md=()=>{const[e,n]=(0,t.useState)(!1);return mt(pt.FK,{children:mt(Pe,{children:mt(fr,{children:mt(pt.FK,{children:[mt(yr,{onLoaded:n}),e&&mt(ke,{children:mt(be,{path:"/",element:mt(pd,{}),children:mt(be,{path:"/",element:mt(Yc,{})})})})]})})})})},_d=e=>{e&&n.e(685).then(n.bind(n,685)).then((t=>{let{getCLS:n,getFID:r,getFCP:o,getLCP:a,getTTFB:i}=t;n(e),r(e),o(e),a(e),i(e)}))},gd=document.getElementById("root");gd&&(0,t.render)(mt(md,{}),gd),_d()})()})(); \ No newline at end of file diff --git a/app/vmselect/vmui/static/media/MetricsQL.d46c42c8e891f06298c4.md b/app/vlselect/vmui/static/media/MetricsQL.8c2e588d62b87f90dbf0.md similarity index 99% rename from app/vmselect/vmui/static/media/MetricsQL.d46c42c8e891f06298c4.md rename to app/vlselect/vmui/static/media/MetricsQL.8c2e588d62b87f90dbf0.md index 64b343f53..2f71686b5 100644 --- a/app/vmselect/vmui/static/media/MetricsQL.d46c42c8e891f06298c4.md +++ b/app/vlselect/vmui/static/media/MetricsQL.8c2e588d62b87f90dbf0.md @@ -1,5 +1,4 @@ --- -sort: 23 weight: 23 title: MetricsQL menu: @@ -546,7 +545,7 @@ while [increase](#increase) ignores the first value in a series if it is too big This function is usually applied to [counters](https://docs.victoriametrics.com/keyconcepts/#counter). -See also [increase](#increas) and [increase_prometheus](#increase_prometheus). +See also [increase](#increase) and [increase_prometheus](#increase_prometheus). #### increases_over_time @@ -955,7 +954,7 @@ See also [stddev_over_time](#stddev_over_time). #### sum_eq_over_time -`sum_eq_over_time(series_selector[d], eq)` is a [rollup function](#rollup-function), which calculates the sum of [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples) +`sum_eq_over_time(series_selector[d], eq)` is a [rollup function](#rollup-functions), which calculates the sum of [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples) values equal to `eq` on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. @@ -966,7 +965,7 @@ See also [sum_over_time](#sum_over_time) and [count_eq_over_time](#count_eq_over #### sum_gt_over_time -`sum_gt_over_time(series_selector[d], gt)` is a [rollup function](#rollup-function), which calculates the sum of [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples) +`sum_gt_over_time(series_selector[d], gt)` is a [rollup function](#rollup-functions), which calculates the sum of [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples) values bigger than `gt` on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. @@ -977,7 +976,7 @@ See also [sum_over_time](#sum_over_time) and [count_gt_over_time](#count_gt_over #### sum_le_over_time -`sum_le_over_time(series_selector[d], le)` is a [rollup function](#rollup-function), which calculates the sum of [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples) +`sum_le_over_time(series_selector[d], le)` is a [rollup function](#rollup-functions), which calculates the sum of [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples) values smaller or equal to `le` on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. diff --git a/app/vlselect/vmui/victorialogs.html b/app/vlselect/vmui/victorialogs.html new file mode 100644 index 000000000..37a3d9cc3 --- /dev/null +++ b/app/vlselect/vmui/victorialogs.html @@ -0,0 +1,55 @@ + + + + + + + + + + + + + + VM UI + + + + + + + + + + + + + + +
    + + + diff --git a/app/vlselect/vmui/victoriametrics.html b/app/vlselect/vmui/victoriametrics.html new file mode 100644 index 000000000..a12493540 --- /dev/null +++ b/app/vlselect/vmui/victoriametrics.html @@ -0,0 +1,56 @@ + + + + + + + + + + + + + + VM UI + + + + + + + + + + + + + + + +
    + + + diff --git a/app/vlselect/vmui/vmanomaly.html b/app/vlselect/vmui/vmanomaly.html new file mode 100644 index 000000000..a12493540 --- /dev/null +++ b/app/vlselect/vmui/vmanomaly.html @@ -0,0 +1,56 @@ + + + + + + + + + + + + + + VM UI + + + + + + + + + + + + + + + +
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    \n Use this table to identify labels that are storing dimensions with high cardinality\n (many different label values).\n

    \n

    \n It is recommended to choose labels such that they have a finite set of values,\n since every unique combination of key-value label pairs creates a new time series\n and therefore can dramatically increase the number of time series in your system.\n

    ",seriesCountByFocusLabelValue:"\n

    \n This table returns a list of unique label values per selected label.\n

    \n

    \n Use this table to identify label values that are storing per each selected series.\n

    ",labelValueCountByLabelName:"\n

    \n This table returns a list of labels with the highest number of the unique values.\n

    \n ",seriesCountByLabelValuePair:"\n

    \n This table returns a list of the label values pairs with the highest number of series.\n

    \n

    \n Use this table to identify unique label values pairs. This helps to identify same labels \n is applied to count timeseries in your system, since every unique combination of key-value label pairs \n creates a new time series and therefore can dramatically increase the number of time series in your system\n

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Isn't it? :)"})]}),Nt("div",{className:"vm-with-template-tutorial-section",children:[Nt("p",{className:"vm-with-template-tutorial-section__text",children:"What's wrong with this query? Copy-pasted label filters for distinct timeseries which makes it easy to mistype these filters during modification. Let's simplify the query with WITH expressions:"}),Nt(mp,{code:'WITH (\n commonFilters = {instance=~"$node:$port",job=~"$job"}\n)\n(\n node_memory_MemTotal_bytes{commonFilters}\n -\n node_memory_MemFree_bytes{commonFilters}\n)\n /\nnode_memory_MemTotal_bytes{commonFilters} * 100'})]}),Nt("div",{className:"vm-with-template-tutorial-section",children:[Nt("p",{className:"vm-with-template-tutorial-section__text",children:["Now label filters are located in a single place instead of three distinct places. The query mentions node_memory_MemTotal_bytes metric twice and ","{commonFilters}"," three times. WITH expressions may improve this:"]}),Nt(mp,{code:'WITH (\n my_resource_utilization(free, limit, filters) = (limit{filters} - free{filters}) / limit{filters} * 100\n)\nmy_resource_utilization(\n node_memory_MemFree_bytes,\n node_memory_MemTotal_bytes,\n {instance=~"$node:$port",job=~"$job"},\n)'}),Nt("p",{className:"vm-with-template-tutorial-section__text",children:"Now the template function my_resource_utilization() may be used for monitoring arbitrary resources - memory, CPU, network, storage, you name it."})]}),Nt("div",{className:"vm-with-template-tutorial-section",children:[Nt("p",{className:"vm-with-template-tutorial-section__text",children:["Let's take another nice query from ",Nt(fp,{})," dashboard:"]}),Nt(mp,{code:'(\n (\n (\n count(\n count(node_cpu_seconds_total{instance=~"$node:$port",job=~"$job"}) by (cpu)\n )\n )\n -\n avg(\n sum by (mode) (rate(node_cpu_seconds_total{mode=\'idle\',instance=~"$node:$port",job=~"$job"}[5m]))\n )\n )\n *\n 100\n)\n /\ncount(\n count(node_cpu_seconds_total{instance=~"$node:$port",job=~"$job"}) by (cpu)\n)'}),Nt("p",{className:"vm-with-template-tutorial-section__text",children:"Do you understand what does this mess do? 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Extract rate(...) part into cpuIdle variable, since it is clear now that this part calculates the number of idle CPUs:"}),Nt(mp,{code:'WITH (\n commonFilters = {instance=~"$node:$port",job=~"$job"},\n cpuCount = count(count(node_cpu_seconds_total{commonFilters}) by (cpu)),\n cpuIdle = sum(rate(node_cpu_seconds_total{mode=\'idle\',commonFilters}[5m]))\n)\n((cpuCount - cpuIdle) * 100) / cpuCount'})]}),Nt("div",{className:"vm-with-template-tutorial-section",children:[Nt("p",{className:"vm-with-template-tutorial-section__text",children:["4. Put node_cpu_seconds_total","{commonFilters}"," into its own varialbe with the name cpuSeconds:"]}),Nt(mp,{code:'WITH (\n cpuSeconds = node_cpu_seconds_total{instance=~"$node:$port",job=~"$job"},\n cpuCount = count(count(cpuSeconds) by (cpu)),\n cpuIdle = sum(rate(cpuSeconds{mode=\'idle\'}[5m]))\n)\n((cpuCount - cpuIdle) * 100) / cpuCount'}),Nt("p",{className:"vm-with-template-tutorial-section__text",children:"Now the query became more clear comparing to the initial query."})]}),Nt("div",{className:"vm-with-template-tutorial-section",children:[Nt("p",{className:"vm-with-template-tutorial-section__text",children:"WITH expressions may be nested and may be put anywhere. Try expanding the following query:"}),Nt(mp,{code:"WITH (\n f(a, b) = WITH (\n f1(x) = b-x,\n f2(x) = x+x\n ) f1(a)*f2(b)\n) f(foo, with(x=bar) x)"})]})]}),gp=()=>{const{serverUrl:e}=Mt(),[t,n]=He(),[a,o]=(0,r.useState)(""),[i,l]=(0,r.useState)(!1),[s,c]=(0,r.useState)();return{data:a,error:s,loading:i,expand:async r=>{t.set("expr",r),n(t);const a=((e,t)=>"".concat(e,"/expand-with-exprs?query=").concat(encodeURIComponent(t),"&format=json"))(e,r);l(!0);try{const e=await fetch(a),t=await e.json();o((null===t||void 0===t?void 0:t.expr)||""),c(String(t.error||""))}catch(Lp){Lp instanceof Error&&"AbortError"!==Lp.name&&c("".concat(Lp.name,": ").concat(Lp.message))}l(!1)}}},yp=()=>{const[e]=He(),{data:t,loading:n,error:a,expand:o}=gp(),[i,l]=(0,r.useState)(e.get("expr")||""),s=()=>{o(i)};return(0,r.useEffect)((()=>{i&&o(i)}),[]),Nt("section",{className:"vm-with-template",children:[n&&Nt(wl,{}),Nt("div",{className:"vm-with-template-body 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    \n

    \n When looking to reduce the number of active series in your data source,\n you can start by inspecting individual metrics with high cardinality\n (i.e. that have lots of active time series associated with them),\n since that single metric contributes a large fraction of the series that make up your total series count.\n

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    \n This table returns a list of the labels with the highest number of series.\n

    \n

    \n Use this table to identify labels that are storing dimensions with high cardinality\n (many different label values).\n

    \n

    \n It is recommended to choose labels such that they have a finite set of values,\n since every unique combination of key-value label pairs creates a new time series\n and therefore can dramatically increase the number of time series in your system.\n

    ",seriesCountByFocusLabelValue:"\n

    \n This table returns a list of unique label values per selected label.\n

    \n

    \n Use this table to identify label values that are storing per each selected series.\n

    ",labelValueCountByLabelName:"\n

    \n This table returns a list of labels with the highest number of the unique values.\n

    \n ",seriesCountByLabelValuePair:"\n

    \n This table returns a list of the label values pairs with the highest number of series.\n

    \n

    \n Use this table to identify unique label values pairs. This helps to identify same labels \n is applied to count timeseries in your system, since every unique combination of key-value label pairs \n creates a new time series and therefore can dramatically increase the number of time series in your system\n

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Isn't it? :)"})]}),Nt("div",{className:"vm-with-template-tutorial-section",children:[Nt("p",{className:"vm-with-template-tutorial-section__text",children:"What's wrong with this query? Copy-pasted label filters for distinct timeseries which makes it easy to mistype these filters during modification. Let's simplify the query with WITH expressions:"}),Nt(bp,{code:'WITH (\n commonFilters = {instance=~"$node:$port",job=~"$job"}\n)\n(\n node_memory_MemTotal_bytes{commonFilters}\n -\n node_memory_MemFree_bytes{commonFilters}\n)\n /\nnode_memory_MemTotal_bytes{commonFilters} * 100'})]}),Nt("div",{className:"vm-with-template-tutorial-section",children:[Nt("p",{className:"vm-with-template-tutorial-section__text",children:["Now label filters are located in a single place instead of three distinct places. The query mentions node_memory_MemTotal_bytes metric twice and ","{commonFilters}"," three times. WITH expressions may improve this:"]}),Nt(bp,{code:'WITH (\n my_resource_utilization(free, limit, filters) = (limit{filters} - free{filters}) / limit{filters} * 100\n)\nmy_resource_utilization(\n node_memory_MemFree_bytes,\n node_memory_MemTotal_bytes,\n {instance=~"$node:$port",job=~"$job"},\n)'}),Nt("p",{className:"vm-with-template-tutorial-section__text",children:"Now the template function my_resource_utilization() may be used for monitoring arbitrary resources - memory, CPU, network, storage, you name it."})]}),Nt("div",{className:"vm-with-template-tutorial-section",children:[Nt("p",{className:"vm-with-template-tutorial-section__text",children:["Let's take another nice query from ",Nt(kp,{})," dashboard:"]}),Nt(bp,{code:'(\n (\n (\n count(\n count(node_cpu_seconds_total{instance=~"$node:$port",job=~"$job"}) by (cpu)\n )\n )\n -\n avg(\n sum by (mode) (rate(node_cpu_seconds_total{mode=\'idle\',instance=~"$node:$port",job=~"$job"}[5m]))\n )\n )\n *\n 100\n)\n /\ncount(\n count(node_cpu_seconds_total{instance=~"$node:$port",job=~"$job"}) by (cpu)\n)'}),Nt("p",{className:"vm-with-template-tutorial-section__text",children:"Do you understand what does this mess do? 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b/app/vmselect/vmui/static/js/main.9ed27532.js.LICENSE.txt similarity index 100% rename from app/vmselect/vmui/static/js/main.36501ae8.js.LICENSE.txt rename to app/vmselect/vmui/static/js/main.9ed27532.js.LICENSE.txt diff --git a/app/vlselect/vmui/static/media/MetricsQL.d46c42c8e891f06298c4.md b/app/vmselect/vmui/static/media/MetricsQL.8c2e588d62b87f90dbf0.md similarity index 99% rename from app/vlselect/vmui/static/media/MetricsQL.d46c42c8e891f06298c4.md rename to app/vmselect/vmui/static/media/MetricsQL.8c2e588d62b87f90dbf0.md index 64b343f53..2f71686b5 100644 --- a/app/vlselect/vmui/static/media/MetricsQL.d46c42c8e891f06298c4.md +++ b/app/vmselect/vmui/static/media/MetricsQL.8c2e588d62b87f90dbf0.md @@ -1,5 +1,4 @@ --- -sort: 23 weight: 23 title: MetricsQL menu: @@ -546,7 +545,7 @@ while [increase](#increase) ignores the first value in a series if it is too big This function is usually applied to [counters](https://docs.victoriametrics.com/keyconcepts/#counter). -See also [increase](#increas) and [increase_prometheus](#increase_prometheus). +See also [increase](#increase) and [increase_prometheus](#increase_prometheus). #### increases_over_time @@ -955,7 +954,7 @@ See also [stddev_over_time](#stddev_over_time). #### sum_eq_over_time -`sum_eq_over_time(series_selector[d], eq)` is a [rollup function](#rollup-function), which calculates the sum of [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples) +`sum_eq_over_time(series_selector[d], eq)` is a [rollup function](#rollup-functions), which calculates the sum of [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples) values equal to `eq` on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. @@ -966,7 +965,7 @@ See also [sum_over_time](#sum_over_time) and [count_eq_over_time](#count_eq_over #### sum_gt_over_time -`sum_gt_over_time(series_selector[d], gt)` is a [rollup function](#rollup-function), which calculates the sum of [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples) +`sum_gt_over_time(series_selector[d], gt)` is a [rollup function](#rollup-functions), which calculates the sum of [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples) values bigger than `gt` on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. @@ -977,7 +976,7 @@ See also [sum_over_time](#sum_over_time) and [count_gt_over_time](#count_gt_over #### sum_le_over_time -`sum_le_over_time(series_selector[d], le)` is a [rollup function](#rollup-function), which calculates the sum of [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples) +`sum_le_over_time(series_selector[d], le)` is a [rollup function](#rollup-functions), which calculates the sum of [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples) values smaller or equal to `le` on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. diff --git a/app/vmselect/vmui/victorialogs.html b/app/vmselect/vmui/victorialogs.html new file mode 100644 index 000000000..37a3d9cc3 --- /dev/null +++ b/app/vmselect/vmui/victorialogs.html @@ -0,0 +1,55 @@ + + + + + + + + + + + + + + VM UI + + + + + + + + + + + + + + +
    + + + diff --git a/app/vmselect/vmui/victoriametrics.html b/app/vmselect/vmui/victoriametrics.html new file mode 100644 index 000000000..a12493540 --- /dev/null +++ b/app/vmselect/vmui/victoriametrics.html @@ -0,0 +1,56 @@ + + + + + + + + + + + + + + VM UI + + + + + + + + + + + + + + + +
    + + + diff --git a/app/vmselect/vmui/vmanomaly.html b/app/vmselect/vmui/vmanomaly.html new file mode 100644 index 000000000..a12493540 --- /dev/null +++ b/app/vmselect/vmui/vmanomaly.html @@ -0,0 +1,56 @@ + + + + + + + + + + + + + + VM UI + + + + + + + + + + + + + + + +
    + + +