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_monthly_deploy\n),\n\n_median_number_of_deployment_days_per_month as(\n\tSELECT max(months_deployed) as median_number_of_deployment_days_per_month\n\tFROM _median_number_of_deployment_days_per_month_ranks\n\tWHERE ranks <= 0.5\n),\n\n_metric_deployment_frequency as (\n\tSELECT \n\t\t'Deployment frequency' as metric,\n\t\tCASE \n\t\t\tWHEN median_number_of_deployment_days_per_week >= 3 THEN 'On-demand'\n\t\t\tWHEN median_number_of_deployment_days_per_week >= 1 THEN 'Between once per week and once per month'\n\t\t\tWHEN median_number_of_deployment_days_per_month >= 1 THEN 'Between once per month and once every 6 months'\n\t\t\tELSE 'Fewer than once per six months' END AS value\n\tFROM _median_number_of_deployment_days_per_week, _median_number_of_deployment_days_per_month\n),\n\n-- Metric 2: median lead time for changes\n_pr_stats as (\n-- get the cycle time of PRs deployed by the deployments finished in the selected period\n\tSELECT\n\t\tdistinct 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| } |
| ], |
| "title": "Median Lead Time for Changes", |
| "type": "stat" |
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| "color": "green", |
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| }, |
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| "color": "purple", |
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| }, |
| "More than one week": { |
| "color": "red", |
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| "graphMode": "area", |
| "justifyMode": "auto", |
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| "reduceOptions": { |
| "calcs": [ |
| "lastNotNull" |
| ], |
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| }, |
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| "rawSql": "-- Metric 3: Median time to restore service \nwith _incidents as (\n-- get the incidents created within the selected time period in the top-right corner\n\tSELECT\n\t distinct i.id,\n\t\tcast(lead_time_minutes as signed) as lead_time_minutes\n\tFROM\n\t\tissues i\n\t join board_issues bi on i.id = bi.issue_id\n\t join boards b on bi.board_id = b.id\n\t join project_mapping pm on b.id = pm.row_id\n\tWHERE\n\t pm.project_name in ($project)\n\t\tand i.type = 'INCIDENT'\n\t\tand $__timeFilter(i.created_date)\n),\n\n_median_mttr_ranks as(\n\tSELECT *, percent_rank() over(order by lead_time_minutes) as ranks\n\tFROM _incidents\n),\n\n_median_mttr as(\n\tSELECT max(lead_time_minutes) as median_time_to_resolve\n\tFROM _median_mttr_ranks\n\tWHERE ranks <= 0.5\n)\n\nSELECT \n\tcase\n\t\tWHEN median_time_to_resolve < 60 then \"Less than one hour\"\n WHEN median_time_to_resolve < 24 * 60 then \"Less than one Day\"\n WHEN median_time_to_resolve < 7 * 24 * 60 then \"Between one day and one week\"\n WHEN median_time_to_resolve >= 7 * 24 * 60 then \"More than one week\"\n ELSE \"N/A.Please check if you have collected deployments/incidents.\"\n END as median_time_to_resolve\nFROM \n\t_median_mttr", |
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| { |
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| "type": "column" |
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| "timeColumn": "created_at", |
| "timeColumnType": "timestamp", |
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| "name": "$__timeFilter", |
| "params": [], |
| "type": "macro" |
| } |
| ] |
| } |
| ], |
| "title": "Median Time to Restore Service", |
| "type": "stat" |
| }, |
| { |
| "datasource": "mysql", |
| "fieldConfig": { |
| "defaults": { |
| "color": { |
| "mode": "thresholds" |
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| "mappings": [ |
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| "options": { |
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| "color": "purple", |
| "index": 3 |
| }, |
| "16%-20%": { |
| "color": "green", |
| "index": 2 |
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| "21%-30%": { |
| "color": "yellow", |
| "index": 1 |
| }, |
| "> 30%": { |
| "color": "red", |
| "index": 0 |
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| }, |
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| ], |
| "thresholds": { |
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| { |
| "color": "green", |
| "value": null |
| } |
| ] |
| } |
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| }, |
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| "h": 5, |
| "w": 6, |
| "x": 18, |
| "y": 6 |
| }, |
| "id": 14, |
| "options": { |
| "colorMode": "value", |
| "graphMode": "area", |
| "justifyMode": "auto", |
| "orientation": "auto", |
| "reduceOptions": { |
| "calcs": [ |
| "lastNotNull" |
| ], |
| "fields": "/^change_failure_rate$/", |
| "values": false |
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| "text": {}, |
| "textMode": "auto" |
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| "pluginVersion": "8.0.6", |
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| "format": "table", |
| "group": [], |
| "metricColumn": "none", |
| "queryType": "randomWalk", |
| "rawQuery": true, |
| "rawSql": "-- Metric 4: change failure rate\nwith _deployments as (\n-- When deploying multiple commits in one pipeline, GitLab and BitBucket may generate more than one deployment. However, DevLake consider these deployments as ONE production deployment and use the last one's finished_date as the finished date.\n\tSELECT\n\t\tcdc.cicd_deployment_id as deployment_id,\n\t\tmax(cdc.finished_date) as deployment_finished_date\n\tFROM \n\t\tcicd_deployment_commits cdc\n\t\tJOIN project_mapping pm on cdc.cicd_scope_id = pm.row_id\n\tWHERE\n\t\tpm.project_name in ($project)\n\t\tand cdc.result = 'SUCCESS'\n\t\tand cdc.environment = 'PRODUCTION'\n\tGROUP BY 1\n\tHAVING $__timeFilter(max(cdc.finished_date))\n),\n\n_failure_caused_by_deployments as (\n-- calculate the number of incidents caused by each deployment\n\tSELECT\n\t\td.deployment_id,\n\t\td.deployment_finished_date,\n\t\tcount(distinct case when i.type = 'INCIDENT' then d.deployment_id else null end) as has_incident\n\tFROM\n\t\t_deployments d\n\t\tleft join project_issue_metrics pim on d.deployment_id = pim.deployment_id\n\t\tleft join issues i on pim.id = i.id\n\tGROUP BY 1,2\n),\n\n_change_failure_rate as (\n\tSELECT \n\t\tcase \n\t\t\twhen count(deployment_id) is null then null\n\t\t\telse sum(has_incident)/count(deployment_id) end as change_failure_rate\n\tFROM\n\t\t_failure_caused_by_deployments\n)\n\nSELECT\n\tcase \n\t\twhen change_failure_rate <= .15 then \"0-15%\"\n\t\twhen change_failure_rate <= .20 then \"16%-20%\"\n\t\twhen change_failure_rate <= .30 then \"21%-30%\"\n\t\telse \"> 30%\" \n\tend as change_failure_rate\nFROM \n\t_change_failure_rate", |
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| [ |
| { |
| "params": [ |
| "id" |
| ], |
| "type": "column" |
| } |
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| ], |
| "table": "_devlake_tasks", |
| "timeColumn": "created_at", |
| "timeColumnType": "timestamp", |
| "where": [ |
| { |
| "name": "$__timeFilter", |
| "params": [], |
| "type": "macro" |
| } |
| ] |
| } |
| ], |
| "title": "Change Failure Rate", |
| "type": "stat" |
| }, |
| { |
| "datasource": "mysql", |
| "fieldConfig": { |
| "defaults": { |
| "color": { |
| "mode": "palette-classic" |
| }, |
| "custom": { |
| "axisLabel": "", |
| "axisPlacement": "auto", |
| "axisSoftMin": 0, |
| "fillOpacity": 80, |
| "gradientMode": "none", |
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| "legend": false, |
| "tooltip": false, |
| "viz": false |
| }, |
| "lineWidth": 1 |
| }, |
| "mappings": [], |
| "thresholds": { |
| "mode": "absolute", |
| "steps": [ |
| { |
| "color": "green", |
| "value": null |
| }, |
| { |
| "color": "red", |
| "value": 80 |
| } |
| ] |
| } |
| }, |
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| }, |
| "gridPos": { |
| "h": 8, |
| "w": 12, |
| "x": 0, |
| "y": 11 |
| }, |
| "id": 2, |
| "options": { |
| "barWidth": 0.6, |
| "groupWidth": 0.7, |
| "legend": { |
| "calcs": [], |
| "displayMode": "list", |
| "placement": "bottom" |
| }, |
| "orientation": "auto", |
| "showValue": "auto", |
| "text": {}, |
| "tooltip": { |
| "mode": "single" |
| } |
| }, |
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| { |
| "format": "table", |
| "group": [], |
| "metricColumn": "none", |
| "queryType": "randomWalk", |
| "rawQuery": true, |
| "rawSql": "-- Metric 1: Number of deployments per month\nwith _deployments as(\n-- When deploying multiple commits in one pipeline, GitLab and BitBucket may generate more than one deployment. However, DevLake consider these deployments as ONE production deployment and use the last one's finished_date as the finished date.\n\tSELECT \n\t\tdate_format(deployment_finished_date,'%y/%m') as month,\n\t\tcount(cicd_deployment_id) as deployment_count\n\tFROM (\n\t\tSELECT\n\t\t\tcdc.cicd_deployment_id,\n\t\t\tmax(cdc.finished_date) as deployment_finished_date\n\t\tFROM cicd_deployment_commits cdc\n\t\tJOIN project_mapping pm on cdc.cicd_scope_id = pm.row_id\n\t\tWHERE\n\t\t\tpm.project_name in ($project)\n\t\t\tand cdc.result = 'SUCCESS'\n\t\t\tand cdc.environment = 'PRODUCTION'\n\t\tGROUP BY 1\n\t\tHAVING $__timeFilter(max(cdc.finished_date))\n\t) _production_deployments\n\tGROUP BY 1\n),\n\n_calendar_months as(\n-- construct the calendar months of last 6 months\n\tSELECT date_format(CAST((SYSDATE()-INTERVAL (month_index) MONTH) AS date), '%y/%m') as month\n\tFROM ( SELECT 0 month_index\n\t\t\tUNION ALL SELECT 1 UNION ALL SELECT 2 UNION ALL SELECT 3\n\t\t\tUNION ALL SELECT 4 UNION ALL SELECT 5 UNION ALL SELECT 6\n\t\t\tUNION ALL SELECT 7 UNION ALL SELECT 8 UNION ALL SELECT 9\n\t\t\tUNION ALL SELECT 10 UNION ALL SELECT 11\n\t\t) month_index\n\tWHERE (SYSDATE()-INTERVAL (month_index) MONTH) > SYSDATE()-INTERVAL 6 MONTH\t\n)\n\nSELECT \n\tcm.month, \n\tcase when d.deployment_count is null then 0 else d.deployment_count end as deployment_count\nFROM \n\t_calendar_months cm\n\tleft join _deployments d on cm.month = d.month\nORDER BY 1", |
| "refId": "A", |
| "select": [ |
| [ |
| { |
| "params": [ |
| "id" |
| ], |
| "type": "column" |
| } |
| ] |
| ], |
| "table": "_devlake_blueprints", |
| "timeColumn": "created_at", |
| "timeColumnType": "timestamp", |
| "where": [ |
| { |
| "name": "$__timeFilter", |
| "params": [], |
| "type": "macro" |
| } |
| ] |
| } |
| ], |
| "title": "Monthly deployments", |
| "type": "barchart" |
| }, |
| { |
| "datasource": "mysql", |
| "description": "", |
| "fieldConfig": { |
| "defaults": { |
| "color": { |
| "mode": "palette-classic" |
| }, |
| "custom": { |
| "axisLabel": "Hours", |
| "axisPlacement": "auto", |
| "axisSoftMin": 0, |
| "fillOpacity": 80, |
| "gradientMode": "none", |
| "hideFrom": { |
| "legend": false, |
| "tooltip": false, |
| "viz": false |
| }, |
| "lineWidth": 1 |
| }, |
| "mappings": [], |
| "thresholds": { |
| "mode": "absolute", |
| "steps": [ |
| { |
| "color": "green", |
| "value": null |
| } |
| ] |
| } |
| }, |
| "overrides": [] |
| }, |
| "gridPos": { |
| "h": 8, |
| "w": 12, |
| "x": 12, |
| "y": 11 |
| }, |
| "id": 6, |
| "options": { |
| "barWidth": 0.7, |
| "groupWidth": 0.7, |
| "legend": { |
| "calcs": [], |
| "displayMode": "list", |
| "placement": "bottom" |
| }, |
| "orientation": "auto", |
| "showValue": "auto", |
| "text": {}, |
| "tooltip": { |
| "mode": "single" |
| } |
| }, |
| "pluginVersion": "8.0.6", |
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| "format": "table", |
| "group": [], |
| "hide": false, |
| "metricColumn": "none", |
| "rawQuery": true, |
| "rawSql": "-- Metric 2: median change lead time per month\nwith _pr_stats as (\n-- get the cycle time of PRs deployed by the deployments finished each month\n\tSELECT\n\t\tdistinct pr.id,\n\t\tdate_format(cdc.finished_date,'%y/%m') as month,\n\t\tppm.pr_cycle_time\n\tFROM\n\t\tpull_requests pr\n\t\tjoin project_pr_metrics ppm on ppm.id = pr.id\n\t\tjoin project_mapping pm on pr.base_repo_id = pm.row_id\n\t\tjoin cicd_deployment_commits cdc on ppm.deployment_commit_id = cdc.id\n\tWHERE\n\t\tpm.project_name in ($project) \n\t\tand pr.merged_date is not null\n\t\tand ppm.pr_cycle_time is not null\n\t\tand $__timeFilter(cdc.finished_date)\n),\n\n_find_median_clt_each_month_ranks as(\n\tSELECT *, percent_rank() over(PARTITION BY month order by pr_cycle_time) as ranks\n\tFROM _pr_stats\n),\n\n_clt as(\n\tSELECT month, max(pr_cycle_time) as median_change_lead_time\n\tFROM _find_median_clt_each_month_ranks\n\tWHERE ranks <= 0.5\n\tgroup by month\n),\n\n_calendar_months as(\n-- to\tdeal with the month with no incidents\n\tSELECT date_format(CAST((SYSDATE()-INTERVAL (month_index) MONTH) AS date), '%y/%m') as month\n\tFROM ( SELECT 0 month_index\n\t\t\tUNION ALL SELECT 1 UNION ALL SELECT 2 UNION ALL SELECT 3\n\t\t\tUNION ALL SELECT 4 UNION ALL SELECT 5 UNION ALL SELECT 6\n\t\t\tUNION ALL SELECT 7 UNION ALL SELECT 8 UNION ALL SELECT 9\n\t\t\tUNION ALL SELECT 10 UNION ALL SELECT 11\n\t\t) month_index\n\tWHERE (SYSDATE()-INTERVAL (month_index) MONTH) > SYSDATE()-INTERVAL 6 MONTH\t\n)\n\nSELECT \n\tcm.month,\n\tcase \n\t\twhen _clt.median_change_lead_time is null then 0 \n\t\telse _clt.median_change_lead_time/60 end as median_change_lead_time_in_hour\nFROM \n\t_calendar_months cm\n\tleft join _clt on cm.month = _clt.month\nORDER BY 1", |
| "refId": "A", |
| "select": [ |
| [ |
| { |
| "params": [ |
| "id" |
| ], |
| "type": "column" |
| } |
| ] |
| ], |
| "table": "ae_projects", |
| "timeColumn": "ae_create_time", |
| "timeColumnType": "timestamp", |
| "where": [ |
| { |
| "name": "$__timeFilter", |
| "params": [], |
| "type": "macro" |
| } |
| ] |
| } |
| ], |
| "timeFrom": null, |
| "timeShift": null, |
| "title": "Median Lead Time for Changes", |
| "type": "barchart" |
| }, |
| { |
| "datasource": "mysql", |
| "description": "", |
| "fieldConfig": { |
| "defaults": { |
| "color": { |
| "mode": "palette-classic" |
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| "custom": { |
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| "axisPlacement": "auto", |
| "axisSoftMin": 0, |
| "fillOpacity": 80, |
| "gradientMode": "none", |
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| "viz": false |
| }, |
| "lineWidth": 1 |
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| "mappings": [], |
| "thresholds": { |
| "mode": "absolute", |
| "steps": [ |
| { |
| "color": "green", |
| "value": null |
| }, |
| { |
| "color": "red", |
| "value": 80 |
| } |
| ] |
| }, |
| "unit": "none" |
| }, |
| "overrides": [ |
| { |
| "matcher": { |
| "id": "byName", |
| "options": "median_time_to_resolve_in_hour" |
| }, |
| "properties": [ |
| { |
| "id": "color", |
| "value": { |
| "fixedColor": "blue", |
| "mode": "fixed" |
| } |
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| } |
| ] |
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| "gridPos": { |
| "h": 8, |
| "w": 12, |
| "x": 0, |
| "y": 19 |
| }, |
| "id": 9, |
| "options": { |
| "barWidth": 0.6, |
| "groupWidth": 0.7, |
| "legend": { |
| "calcs": [], |
| "displayMode": "list", |
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| }, |
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| "rawSql": "-- Metric 3: median time to restore service - MTTR\nwith _incidents as (\n-- get the number of incidents created each month\n\tSELECT\n\t distinct i.id,\n\t\tdate_format(i.created_date,'%y/%m') as month,\n\t\tcast(lead_time_minutes as signed) as lead_time_minutes\n\tFROM\n\t\tissues i\n\t join board_issues bi on i.id = bi.issue_id\n\t join boards b on bi.board_id = b.id\n\t join project_mapping pm on b.id = pm.row_id\n\tWHERE\n\t pm.project_name in ($project)\n\t\tand i.type = 'INCIDENT'\n\t\tand i.lead_time_minutes is not null\n),\n\n_find_median_mttr_each_month_ranks as(\n\tSELECT *, percent_rank() over(PARTITION BY month order by lead_time_minutes) as ranks\n\tFROM _incidents\n),\n\n_mttr as(\n\tSELECT month, max(lead_time_minutes) as median_time_to_resolve\n\tFROM _find_median_mttr_each_month_ranks\n\tWHERE ranks <= 0.5\n\tGROUP BY month\n),\n\n_calendar_months as(\n-- deal with the month with no incidents\n\tSELECT date_format(CAST((SYSDATE()-INTERVAL (month_index) MONTH) AS date), '%y/%m') as month\n\tFROM ( SELECT 0 month_index\n\t\t\tUNION ALL SELECT 1 UNION ALL SELECT 2 UNION ALL SELECT 3\n\t\t\tUNION ALL SELECT 4 UNION ALL SELECT 5 UNION ALL SELECT 6\n\t\t\tUNION ALL SELECT 7 UNION ALL SELECT 8 UNION ALL SELECT 9\n\t\t\tUNION ALL SELECT 10 UNION ALL SELECT 11\n\t\t) month_index\n\tWHERE (SYSDATE()-INTERVAL (month_index) MONTH) > SYSDATE()-INTERVAL 6 MONTH\t\n)\n\nSELECT \n\tcm.month,\n\tcase \n\t\twhen m.median_time_to_resolve is null then 0 \n\t\telse m.median_time_to_resolve/60 end as median_time_to_resolve_in_hour\nFROM \n\t_calendar_months cm\n\tleft join _mttr m on cm.month = m.month\nORDER BY 1", |
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| "mappings": [], |
| "max": 1, |
| "min": 0, |
| "thresholds": { |
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| ] |
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| "unit": "percentunit" |
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| { |
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| "metricColumn": "none", |
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| "rawSql": "-- Metric 4: change failure rate per month\nwith _deployments as (\n-- When deploying multiple commits in one pipeline, GitLab and BitBucket may generate more than one deployment. However, DevLake consider these deployments as ONE production deployment and use the last one's finished_date as the finished date.\n\tSELECT\n\t\tcdc.cicd_deployment_id as deployment_id,\n\t\tmax(cdc.finished_date) as deployment_finished_date\n\tFROM \n\t\tcicd_deployment_commits cdc\n\t\tJOIN project_mapping pm on cdc.cicd_scope_id = pm.row_id\n\tWHERE\n\t\tpm.project_name in ($project)\n\t\tand cdc.result = 'SUCCESS'\n\t\tand cdc.environment = 'PRODUCTION'\n\tGROUP BY 1\n\tHAVING $__timeFilter(max(cdc.finished_date))\n),\n\n_failure_caused_by_deployments as (\n-- calculate the number of incidents caused by each deployment\n\tSELECT\n\t\td.deployment_id,\n\t\td.deployment_finished_date,\n\t\tcount(distinct case when i.type = 'INCIDENT' then d.deployment_id else null end) as has_incident\n\tFROM\n\t\t_deployments d\n\t\tleft join project_issue_metrics pim on d.deployment_id = pim.deployment_id\n\t\tleft join issues i on pim.id = i.id\n\tGROUP BY 1,2\n),\n\n_change_failure_rate_for_each_month as (\n\tSELECT \n\t\tdate_format(deployment_finished_date,'%y/%m') as month,\n\t\tcase \n\t\t\twhen count(deployment_id) is null then null\n\t\t\telse sum(has_incident)/count(deployment_id) end as change_failure_rate\n\tFROM\n\t\t_failure_caused_by_deployments\n\tGROUP BY 1\n),\n\n_calendar_months as(\n-- deal with the month with no incidents\n\tSELECT date_format(CAST((SYSDATE()-INTERVAL (month_index) MONTH) AS date), '%y/%m') as month\n\tFROM ( SELECT 0 month_index\n\t\t\tUNION ALL SELECT 1 UNION ALL SELECT 2 UNION ALL SELECT 3\n\t\t\tUNION ALL SELECT 4 UNION ALL SELECT 5 UNION ALL SELECT 6\n\t\t\tUNION ALL SELECT 7 UNION ALL SELECT 8 UNION ALL SELECT 9\n\t\t\tUNION ALL SELECT 10 UNION ALL SELECT 11\n\t\t) month_index\n\tWHERE (SYSDATE()-INTERVAL (month_index) MONTH) > SYSDATE()-INTERVAL 6 MONTH\t\n)\n\nSELECT \n\tcm.month,\n\tcfr.change_failure_rate\nFROM \n\t_calendar_months cm\n\tleft join _change_failure_rate_for_each_month cfr on cm.month = cfr.month\nGROUP BY 1,2\nORDER BY 1 ", |
| "refId": "A", |
| "select": [ |
| [ |
| { |
| "params": [ |
| "id" |
| ], |
| "type": "column" |
| } |
| ] |
| ], |
| "table": "ae_projects", |
| "timeColumn": "ae_create_time", |
| "timeColumnType": "timestamp", |
| "where": [ |
| { |
| "name": "$__timeFilter", |
| "params": [], |
| "type": "macro" |
| } |
| ] |
| } |
| ], |
| "timeFrom": null, |
| "timeShift": null, |
| "title": "Change Failure Rate", |
| "type": "barchart" |
| } |
| ], |
| "refresh": "", |
| "schemaVersion": 30, |
| "style": "dark", |
| "tags": [], |
| "templating": { |
| "list": [ |
| { |
| "allValue": null, |
| "current": { |
| "selected": true, |
| "text": [ |
| "All" |
| ], |
| "value": [ |
| "$__all" |
| ] |
| }, |
| "datasource": "mysql", |
| "definition": "select distinct name from projects", |
| "description": null, |
| "error": null, |
| "hide": 0, |
| "includeAll": true, |
| "label": "Project", |
| "multi": true, |
| "name": "project", |
| "options": [], |
| "query": "select distinct name from projects", |
| "refresh": 1, |
| "regex": "", |
| "skipUrlSync": false, |
| "sort": 0, |
| "type": "query" |
| } |
| ] |
| }, |
| "time": { |
| "from": "now-6M", |
| "to": "now" |
| }, |
| "timepicker": {}, |
| "timezone": "", |
| "title": "DORA", |
| "uid": "qNo8_0M4z", |
| "version": 12 |
| } |
