{ "tags": [], "title": "k6 Prometheus (Native Histograms)", "widgets": [ { "layout": { "x": 0, "y": 0, "width": 12, "height": 3 }, "definition": { "type": "timeseries", "title": "Performance Overview", "yaxis": { "max": "auto", "min": "auto", "label": "", "scale": "linear", "include_zero": false }, "requests": [ { "style": { "palette": "dog_classic", "line_type": "solid", "line_width": "normal" }, "queries": [ { "name": "query1", "query": "avg:k6_vus{$testid}", "data_source": "metrics" }, { "name": "query2", "query": "sum:k6_http_reqs.count{$testid}.as_rate()", "data_source": "metrics" }, { "name": "query3", "query": "sum:k6_http_reqs.count{$testid,expected_response:false}.as_rate()", "data_source": "metrics" } ], "formulas": [ { "alias": "vus", "formula": "query1" }, { "alias": "http_req_s", "formula": "query2" }, { "alias": "http_req_s_errors", "formula": "query3" } ], "display_type": "line", "response_format": "timeseries" } ], "show_legend": true, "legend_layout": "auto", "legend_columns": [ "avg", "min", "max", "value", "sum" ] } }, { "layout": { "x": 0, "y": 3, "width": 12, "height": 3 }, "definition": { "type": "group", "title": "Performance Overview", "widgets": [ { "layout": { "x": 0, "y": 0, "width": 3, "height": 1 }, "definition": { "type": "query_value", "title": "HTTP requests", "requests": [ { "queries": [ { "name": "query1", "query": "sum:k6_http_reqs.count{$testid}", "aggregator": "last", "data_source": "metrics" } ], "formulas": [ { "formula": "query1" } ], "response_format": "scalar" } ], "autoscale": true, "precision": 2, "text_align": "center" } }, { "layout": { "x": 3, "y": 0, "width": 3, "height": 1 }, "definition": { "type": "query_value", "title": "HTTP request failures", "requests": [ { "queries": [ { "name": "query1", "query": "sum:k6_http_reqs.count{$testid,expected_response:false}", "aggregator": "last", "data_source": "metrics" } ], "formulas": [ { "formula": "query1" } ], "response_format": "scalar" } ], "autoscale": true, "precision": 2, "text_align": "center" } }, { "layout": { "x": 6, "y": 0, "width": 3, "height": 1 }, "definition": { "type": "query_value", "title": "Peak RPS", "requests": [ { "queries": [ { "name": "query1", "query": "sum:k6_http_reqs.count{$testid}.as_rate()", "aggregator": "max", "data_source": "metrics" } ], "formulas": [ { "formula": "query1" } ], "response_format": "scalar" } ], "autoscale": true, "precision": 2, "text_align": "center", "custom_unit": "req/s" } }, { "layout": { "x": 9, "y": 0, "width": 3, "height": 1 }, "definition": { "type": "note", "content": "**HTTP Request Duration**\n\nUnsupported panel (stat)\n\n- histogram_quantile uses dynamic template variable $quantile; Datadog percentile aggregators require a static quantile value\n\nOriginal PromQL:\n```\nA: histogram_quantile($quantile, sum by(le) (rate(k6_http_req_duration_seconds{testid=~\"$testid\"}[$__rate_interval])))\n```", "tick_pos": "50%", "font_size": "14", "show_tick": false, "tick_edge": "left", "text_align": "left", "has_padding": true, "vertical_align": "top", "background_color": "white" } }, { "layout": { "x": 0, "y": 1, "width": 6, "height": 2 }, "definition": { "type": "timeseries", "title": "Transfer Rate", "yaxis": { "max": "auto", "min": "auto", "label": "", "scale": "linear", "include_zero": false }, "requests": [ { "style": { "palette": "dog_classic", "line_type": "solid", "line_width": "normal" }, "queries": [ { "name": "query1", "query": "avg:k6_data_sent.count{$testid}.as_rate()", "data_source": "metrics" }, { "name": "query2", "query": "avg:k6_data_received.count{$testid}.as_rate()", "data_source": "metrics" } ], "formulas": [ { "alias": "data_sent", "formula": "query1" }, { "alias": "data_received", "formula": "query2" } ], "display_type": "line", "response_format": "timeseries" } ], "show_legend": true, "legend_layout": "auto", "legend_columns": [ "avg", "min", "max", "value", "sum" ] } }, { "layout": { "x": 6, "y": 1, "width": 6, "height": 2 }, "definition": { "type": "timeseries", "title": "Iterations", "yaxis": { "max": "auto", "min": "auto", "label": "", "scale": "linear", "include_zero": false }, "requests": [ { "style": { "palette": "dog_classic", "line_type": "solid", "line_width": "normal" }, "queries": [ { "name": "query1", "query": "avg:k6_dropped_iterations.count{$testid}", "data_source": "metrics" } ], "formulas": [ { "alias": "dropped_iterations", "formula": "query1" } ], "display_type": "line", "response_format": "timeseries" } ], "show_legend": true, "legend_layout": "auto", "legend_columns": [ "avg", "min", "max", "value", "sum" ] } } ], "show_title": true, "layout_type": "ordered" } }, { "layout": { "x": 0, "y": 6, "width": 12, "height": 4 }, "definition": { "type": "group", "title": "HTTP", "widgets": [ { "layout": { "x": 0, "y": 0, "width": 4, "height": 2 }, "definition": { "type": "note", "content": "**HTTP Latency Timings**\n\nUnsupported panel (timeseries)\n\n- histogram_quantile uses dynamic template variable $quantile; Datadog percentile aggregators require a static quantile value\n- histogram_quantile uses dynamic template variable $quantile; Datadog percentile aggregators require a static quantile value\n- histogram_quantile uses dynamic template variable $quantile; Datadog percentile aggregators require a static quantile value\n- histogram_quantile uses dynamic template variable $quantile; Datadog percentile aggregators require a static quantile value\n- histogram_quantile uses dynamic template variable $quantile; Datadog percentile aggregators require a static quantile value\n- histogram_quantile uses dynamic template variable $quantile; Datadog percentile aggregators require a static quantile value\n\nOriginal PromQL:\n```\nB: histogram_quantile($quantile, sum by(le) (rate(k6_http_req_blocked_seconds{testid=~\"$testid\"}[$__rate_interval])))\nC: histogram_quantile($quantile, sum by(le) (rate(k6_http_req_tls_handshaking_seconds{testid=~\"$testid\"}[$__rate_interval])))\nD: histogram_quantile($quantile, sum by(le) (rate(k6_http_req_sending_seconds{testid=~\"$testid\"}[$__rate_interval])))\nE: histogram_quantile($quantile, sum by(le) (rate(k6_http_req_waiting_seconds{testid=~\"$testid\"}[$__rate_interval])))\nF: histogram_quantile($quantile, sum by(le) (rate(k6_http_req_receiving_seconds{testid=~\"$testid\"}[$__rate_interval])))\nA: histogram_quantile($quantile, sum by(le) (rate(k6_http_req_duration_seconds{testid=~\"$testid\"}[$__rate_interval])))\n```", "tick_pos": "50%", "font_size": "14", "show_tick": false, "tick_edge": "left", "text_align": "left", "has_padding": true, "vertical_align": "top", "background_color": "white" } }, { "layout": { "x": 4, "y": 0, "width": 4, "height": 2 }, "definition": { "type": "note", "content": "**HTTP Latency Stats**\n\nUnsupported panel (timeseries)\n\n- histogram_quantile uses dynamic template variable $quantile; Datadog percentile aggregators require a static quantile value\n- histogram_quantile uses dynamic template variable $quantile; Datadog percentile aggregators require a static quantile value\n- histogram_quantile uses dynamic template variable $quantile; Datadog percentile aggregators require a static quantile value\n\nOriginal PromQL:\n```\nA: histogram_quantile($quantile, sum by (le) ((rate(k6_http_req_duration_seconds{testid=~\"$testid\"}[$__rate_interval]))))\nC: histogram_quantile($quantile, sum by(le) (rate(k6_http_req_waiting_seconds{testid=~\"$testid\", expected_response=\"true\"}[$__rate_interval])))\nB: histogram_quantile($quantile, sum by(le) (rate(k6_http_req_waiting_seconds{testid=~\"$testid\", expected_response=\"false\"}[$__rate_interval])))\n```", "tick_pos": "50%", "font_size": "14", "show_tick": false, "tick_edge": "left", "text_align": "left", "has_padding": true, "vertical_align": "top", "background_color": "white" } }, { "layout": { "x": 8, "y": 0, "width": 4, "height": 2 }, "definition": { "type": "timeseries", "title": "HTTP Request Rate", "yaxis": { "max": "auto", "min": "auto", "label": "", "scale": "linear", "include_zero": false }, "requests": [ { "style": { "palette": "dog_classic", "line_type": "solid", "line_width": "normal" }, "queries": [ { "name": "query1", "query": "sum:k6_http_reqs.count{$testid}.as_rate()", "data_source": "metrics" }, { "name": "query2", "query": "sum:k6_http_reqs.count{$testid,expected_response:false}.as_rate()", "data_source": "metrics" }, { "name": "query3", "query": "sum:k6_http_reqs.count{$testid,expected_response:true}.as_rate()", "data_source": "metrics" } ], "formulas": [ { "alias": "http_req_s", "formula": "query1" }, { "alias": "http_req_s_errors", "formula": "query2" }, { "alias": "http_req_s_success", "formula": "query3" } ], "display_type": "line", "response_format": "timeseries" } ], "show_legend": true, "legend_layout": "auto", "legend_columns": [ "avg", "min", "max", "value", "sum" ] } }, { "layout": { "x": 0, "y": 2, "width": 12, "height": 2 }, "definition": { "type": "query_table", "title": "Requests by URL", "requests": [ { "queries": [ { "name": "query1", "query": "p95:k6_http_req_duration_seconds{$testid} by {name,method,status}", "aggregator": "last", "data_source": "metrics" }, { "name": "query2", "query": "p99:k6_http_req_duration_seconds{$testid} by {name,method,status}", "aggregator": "last", "data_source": "metrics" } ], "formulas": [ { "alias": "p95", "limit": { "count": 50, "order": "desc" }, "formula": "query1" }, { "formula": "query2" } ], "response_format": "scalar" } ], "has_search_bar": "auto" } } ], "show_title": true, "layout_type": "ordered" } }, { "layout": { "x": 0, "y": 10, "width": 12, "height": 3 }, "definition": { "type": "group", "title": "Checks", "widgets": [ { "layout": { "x": 0, "y": 0, "width": 6, "height": 2 }, "definition": { "type": "query_table", "title": "Checks list", "requests": [ { "queries": [ { "name": "query1", "query": "avg:k6_checks_rate{$testid}", "aggregator": "last", "data_source": "metrics" } ], "formulas": [ { "limit": { "count": 50, "order": "desc" }, "formula": "query1" } ], "response_format": "scalar" } ], "has_search_bar": "auto" } }, { "layout": { "x": 6, "y": 0, "width": 6, "height": 2 }, "definition": { "type": "timeseries", "title": "Checks Success Rate (aggregate individual checks)", "yaxis": { "max": "auto", "min": "auto", "label": "", "scale": "linear", "include_zero": false }, "requests": [ { "style": { "palette": "dog_classic", "line_type": "solid", "line_width": "normal" }, "queries": [ { "name": "query1", "query": "avg:k6_checks_rate{$testid}", "data_source": "metrics" } ], "formulas": [ { "alias": "k6_checks_rate", "formula": "query1 * 100" } ], "display_type": "line", "response_format": "timeseries" } ], "show_legend": true, "legend_layout": "auto", "legend_columns": [ "avg", "min", "max", "value", "sum" ] } }, { "layout": { "x": 0, "y": 2, "width": 12, "height": 1 }, "definition": { "type": "note", "content": "### Visualize other k6 results \n\nAt the top of the dashboard, click `Add` and select `Visualization` from the dropdown menu. Choose the visualization type and input the PromQL queries for the `k6_` metric(s).\n\nAlternatively, click on the `Explore` icon on the menu bar and input the queries for the `k6_` metric(s). From `Explore`, you can add new Panels to this dashboard. \n\nNote that all k6 metrics are prefixed with the `k6_` namespace when sent to Prometheus.", "tick_pos": "50%", "font_size": "14", "show_tick": false, "tick_edge": "left", "text_align": "left", "has_padding": true, "vertical_align": "top", "background_color": "white" } } ], "show_title": true, "layout_type": "ordered" } } ], "description": "Converted from Grafana dashboard https://grafana.com/grafana/dashboards/18030 (by k6). Visualize k6 OSS results stored in Prometheus with Native Histograms.", "layout_type": "ordered", "reflow_type": "fixed", "template_variables": [ { "name": "testid", "prefix": "testid", "default": "*", "available_values": [] }, { "name": "quantile", "prefix": "quantile", "default": "0.99", "available_values": [] } ] }