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7 Commits

Author SHA1 Message Date
Naman Verma
ad7a74b405 Merge branch 'main' into nv/10890 2026-06-11 22:18:14 +05:30
Naman Verma
769022a799 Merge branch 'main' into nv/10890 2026-06-03 11:33:47 +05:30
Naman Verma
2a6539bd80 Merge branch 'main' into nv/10890 2026-04-27 11:31:28 +05:30
Naman Verma
7d2457d305 Merge branch 'main' into nv/10890 2026-04-20 15:35:03 +05:30
Naman Verma
71351b2856 Merge branch 'main' into nv/10890 2026-04-16 11:57:56 +05:30
Naman Verma
018c78f4ff fix: add metadata fetch to list metrics query to avoid CH timeouts due to sequential queries 2026-04-09 17:50:18 +05:30
Naman Verma
31e2c1b585 fix: combine metadata fetch into stats query to avoid ClickHouse timeouts due to sequential queries 2026-04-09 17:26:13 +05:30
8 changed files with 46 additions and 4048 deletions

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@@ -1364,7 +1364,6 @@ components:
- appservice
- containerapp
- aks
- sqldatabase
type: string
CloudintegrationtypesServiceMetadata:
properties:

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@@ -2655,7 +2655,6 @@ export enum CloudintegrationtypesServiceIDDTO {
appservice = 'appservice',
containerapp = 'containerapp',
aks = 'aks',
sqldatabase = 'sqldatabase',
}
export type CloudintegrationtypesCloudIntegrationServiceDTOAnyOf = {
/**

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@@ -1 +0,0 @@
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Before

Width:  |  Height:  |  Size: 1.6 KiB

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@@ -1,565 +0,0 @@
{
"id": "sqldatabase",
"title": "Azure SQL Database",
"icon": "file://icon.svg",
"overview": "file://overview.md",
"supportedSignals": {
"metrics": true,
"logs": true
},
"dataCollected": {
"metrics": [
{
"name": "azure_cpu_percent_average",
"unit": "Percent",
"type": "Gauge",
"description": "Percentage of CPU used by the database workload, relative to its limit."
},
{
"name": "azure_cpu_percent_maximum",
"unit": "Percent",
"type": "Gauge",
"description": "Percentage of CPU used by the database workload, relative to its limit."
},
{
"name": "azure_cpu_percent_minimum",
"unit": "Percent",
"type": "Gauge",
"description": "Percentage of CPU used by the database workload, relative to its limit."
},
{
"name": "azure_sql_instance_cpu_percent_average",
"unit": "Percent",
"type": "Gauge",
"description": "Total CPU usage (user plus system) of the SQL instance, as a percentage."
},
{
"name": "azure_sql_instance_cpu_percent_maximum",
"unit": "Percent",
"type": "Gauge",
"description": "Total CPU usage (user plus system) of the SQL instance, as a percentage."
},
{
"name": "azure_sql_instance_cpu_percent_minimum",
"unit": "Percent",
"type": "Gauge",
"description": "Total CPU usage (user plus system) of the SQL instance, as a percentage."
},
{
"name": "azure_sql_instance_memory_percent_average",
"unit": "Percent",
"type": "Gauge",
"description": "Memory usage of the SQL instance, as a percentage of its limit."
},
{
"name": "azure_sql_instance_memory_percent_maximum",
"unit": "Percent",
"type": "Gauge",
"description": "Memory usage of the SQL instance, as a percentage of its limit."
},
{
"name": "azure_sql_instance_memory_percent_minimum",
"unit": "Percent",
"type": "Gauge",
"description": "Memory usage of the SQL instance, as a percentage of its limit."
},
{
"name": "azure_physical_data_read_percent_average",
"unit": "Percent",
"type": "Gauge",
"description": "Data file IO usage as a percentage of the limit."
},
{
"name": "azure_physical_data_read_percent_maximum",
"unit": "Percent",
"type": "Gauge",
"description": "Data file IO usage as a percentage of the limit."
},
{
"name": "azure_physical_data_read_percent_minimum",
"unit": "Percent",
"type": "Gauge",
"description": "Data file IO usage as a percentage of the limit."
},
{
"name": "azure_log_write_percent_average",
"unit": "Percent",
"type": "Gauge",
"description": "Transaction log write throughput as a percentage of the limit."
},
{
"name": "azure_log_write_percent_maximum",
"unit": "Percent",
"type": "Gauge",
"description": "Transaction log write throughput as a percentage of the limit."
},
{
"name": "azure_log_write_percent_minimum",
"unit": "Percent",
"type": "Gauge",
"description": "Transaction log write throughput as a percentage of the limit."
},
{
"name": "azure_workers_percent_average",
"unit": "Percent",
"type": "Gauge",
"description": "Worker threads in use as a percentage of the limit."
},
{
"name": "azure_workers_percent_maximum",
"unit": "Percent",
"type": "Gauge",
"description": "Worker threads in use as a percentage of the limit."
},
{
"name": "azure_workers_percent_minimum",
"unit": "Percent",
"type": "Gauge",
"description": "Worker threads in use as a percentage of the limit."
},
{
"name": "azure_sessions_percent_average",
"unit": "Percent",
"type": "Gauge",
"description": "Active sessions as a percentage of the limit."
},
{
"name": "azure_sessions_percent_maximum",
"unit": "Percent",
"type": "Gauge",
"description": "Active sessions as a percentage of the limit."
},
{
"name": "azure_sessions_percent_minimum",
"unit": "Percent",
"type": "Gauge",
"description": "Active sessions as a percentage of the limit."
},
{
"name": "azure_sessions_count_average",
"unit": "Count",
"type": "Gauge",
"description": "Number of active sessions."
},
{
"name": "azure_sessions_count_maximum",
"unit": "Count",
"type": "Gauge",
"description": "Number of active sessions."
},
{
"name": "azure_sessions_count_minimum",
"unit": "Count",
"type": "Gauge",
"description": "Number of active sessions."
},
{
"name": "azure_dtu_consumption_percent_average",
"unit": "Percent",
"type": "Gauge",
"description": "DTU consumption as a percentage of the limit (DTU-based purchasing model)."
},
{
"name": "azure_dtu_consumption_percent_maximum",
"unit": "Percent",
"type": "Gauge",
"description": "DTU consumption as a percentage of the limit (DTU-based purchasing model)."
},
{
"name": "azure_dtu_consumption_percent_minimum",
"unit": "Percent",
"type": "Gauge",
"description": "DTU consumption as a percentage of the limit (DTU-based purchasing model)."
},
{
"name": "azure_dtu_used_average",
"unit": "Count",
"type": "Gauge",
"description": "DTUs used (DTU-based purchasing model)."
},
{
"name": "azure_dtu_used_maximum",
"unit": "Count",
"type": "Gauge",
"description": "DTUs used (DTU-based purchasing model)."
},
{
"name": "azure_dtu_used_minimum",
"unit": "Count",
"type": "Gauge",
"description": "DTUs used (DTU-based purchasing model)."
},
{
"name": "azure_dtu_limit_average",
"unit": "Count",
"type": "Gauge",
"description": "DTU limit (DTU-based purchasing model)."
},
{
"name": "azure_dtu_limit_maximum",
"unit": "Count",
"type": "Gauge",
"description": "DTU limit (DTU-based purchasing model)."
},
{
"name": "azure_dtu_limit_minimum",
"unit": "Count",
"type": "Gauge",
"description": "DTU limit (DTU-based purchasing model)."
},
{
"name": "azure_cpu_used_average",
"unit": "Count",
"type": "Gauge",
"description": "vCores used (vCore-based purchasing model)."
},
{
"name": "azure_cpu_used_maximum",
"unit": "Count",
"type": "Gauge",
"description": "vCores used (vCore-based purchasing model)."
},
{
"name": "azure_cpu_used_minimum",
"unit": "Count",
"type": "Gauge",
"description": "vCores used (vCore-based purchasing model)."
},
{
"name": "azure_cpu_limit_average",
"unit": "Count",
"type": "Gauge",
"description": "vCore limit (vCore-based purchasing model)."
},
{
"name": "azure_cpu_limit_maximum",
"unit": "Count",
"type": "Gauge",
"description": "vCore limit (vCore-based purchasing model)."
},
{
"name": "azure_cpu_limit_minimum",
"unit": "Count",
"type": "Gauge",
"description": "vCore limit (vCore-based purchasing model)."
},
{
"name": "azure_storage_average",
"unit": "Bytes",
"type": "Gauge",
"description": "Data space used by the database."
},
{
"name": "azure_storage_maximum",
"unit": "Bytes",
"type": "Gauge",
"description": "Data space used by the database."
},
{
"name": "azure_storage_minimum",
"unit": "Bytes",
"type": "Gauge",
"description": "Data space used by the database."
},
{
"name": "azure_storage_percent_average",
"unit": "Percent",
"type": "Gauge",
"description": "Data space used as a percentage of the maximum data size."
},
{
"name": "azure_storage_percent_maximum",
"unit": "Percent",
"type": "Gauge",
"description": "Data space used as a percentage of the maximum data size."
},
{
"name": "azure_storage_percent_minimum",
"unit": "Percent",
"type": "Gauge",
"description": "Data space used as a percentage of the maximum data size."
},
{
"name": "azure_allocated_data_storage_average",
"unit": "Bytes",
"type": "Gauge",
"description": "Data space allocated to the database (includes unused space)."
},
{
"name": "azure_allocated_data_storage_maximum",
"unit": "Bytes",
"type": "Gauge",
"description": "Data space allocated to the database (includes unused space)."
},
{
"name": "azure_allocated_data_storage_minimum",
"unit": "Bytes",
"type": "Gauge",
"description": "Data space allocated to the database (includes unused space)."
},
{
"name": "azure_xtp_storage_percent_average",
"unit": "Percent",
"type": "Gauge",
"description": "In-Memory OLTP storage used as a percentage of the limit."
},
{
"name": "azure_xtp_storage_percent_maximum",
"unit": "Percent",
"type": "Gauge",
"description": "In-Memory OLTP storage used as a percentage of the limit."
},
{
"name": "azure_xtp_storage_percent_minimum",
"unit": "Percent",
"type": "Gauge",
"description": "In-Memory OLTP storage used as a percentage of the limit."
},
{
"name": "azure_full_backup_size_bytes_average",
"unit": "Bytes",
"type": "Gauge",
"description": "Cumulative full backup storage size."
},
{
"name": "azure_full_backup_size_bytes_maximum",
"unit": "Bytes",
"type": "Gauge",
"description": "Cumulative full backup storage size."
},
{
"name": "azure_full_backup_size_bytes_minimum",
"unit": "Bytes",
"type": "Gauge",
"description": "Cumulative full backup storage size."
},
{
"name": "azure_diff_backup_size_bytes_average",
"unit": "Bytes",
"type": "Gauge",
"description": "Cumulative differential backup storage size."
},
{
"name": "azure_diff_backup_size_bytes_maximum",
"unit": "Bytes",
"type": "Gauge",
"description": "Cumulative differential backup storage size."
},
{
"name": "azure_diff_backup_size_bytes_minimum",
"unit": "Bytes",
"type": "Gauge",
"description": "Cumulative differential backup storage size."
},
{
"name": "azure_log_backup_size_bytes_average",
"unit": "Bytes",
"type": "Gauge",
"description": "Cumulative transaction log backup storage size."
},
{
"name": "azure_log_backup_size_bytes_maximum",
"unit": "Bytes",
"type": "Gauge",
"description": "Cumulative transaction log backup storage size."
},
{
"name": "azure_log_backup_size_bytes_minimum",
"unit": "Bytes",
"type": "Gauge",
"description": "Cumulative transaction log backup storage size."
},
{
"name": "azure_replication_lag_seconds_average",
"unit": "Seconds",
"type": "Gauge",
"description": "Geo-replication lag (RPO) in seconds; reported on the primary database only."
},
{
"name": "azure_replication_lag_seconds_maximum",
"unit": "Seconds",
"type": "Gauge",
"description": "Geo-replication lag (RPO) in seconds; reported on the primary database only."
},
{
"name": "azure_replication_lag_seconds_minimum",
"unit": "Seconds",
"type": "Gauge",
"description": "Geo-replication lag (RPO) in seconds; reported on the primary database only."
},
{
"name": "azure_connection_successful_total",
"unit": "Count",
"type": "Sum",
"description": "Number of successful connections."
},
{
"name": "azure_connection_successful_count",
"unit": "Count",
"type": "Gauge",
"description": "Number of successful connections."
},
{
"name": "azure_connection_failed_total",
"unit": "Count",
"type": "Sum",
"description": "Number of failed connections caused by system errors."
},
{
"name": "azure_connection_failed_count",
"unit": "Count",
"type": "Gauge",
"description": "Number of failed connections caused by system errors."
},
{
"name": "azure_connection_failed_user_error_total",
"unit": "Count",
"type": "Sum",
"description": "Number of failed connections caused by user errors."
},
{
"name": "azure_connection_failed_user_error_count",
"unit": "Count",
"type": "Gauge",
"description": "Number of failed connections caused by user errors."
},
{
"name": "azure_blocked_by_firewall_total",
"unit": "Count",
"type": "Sum",
"description": "Number of connection attempts blocked by the firewall."
},
{
"name": "azure_blocked_by_firewall_count",
"unit": "Count",
"type": "Gauge",
"description": "Number of connection attempts blocked by the firewall."
},
{
"name": "azure_deadlock_total",
"unit": "Count",
"type": "Sum",
"description": "Number of deadlocks."
},
{
"name": "azure_deadlock_count",
"unit": "Count",
"type": "Gauge",
"description": "Number of deadlocks."
},
{
"name": "azure_availability_average",
"unit": "Percent",
"type": "Gauge",
"description": "Database availability percentage (100 if connections succeed, 0 if all fail) per minute."
},
{
"name": "azure_availability_maximum",
"unit": "Percent",
"type": "Gauge",
"description": "Database availability percentage (100 if connections succeed, 0 if all fail) per minute."
},
{
"name": "azure_availability_minimum",
"unit": "Percent",
"type": "Gauge",
"description": "Database availability percentage (100 if connections succeed, 0 if all fail) per minute."
},
{
"name": "azure_availability_count",
"unit": "Percent",
"type": "Gauge",
"description": "Database availability percentage (100 if connections succeed, 0 if all fail) per minute."
},
{
"name": "azure_availability_total",
"unit": "Percent",
"type": "Sum",
"description": "Database availability percentage (100 if connections succeed, 0 if all fail) per minute."
},
{
"name": "azure_tempdb_data_size_average",
"unit": "Count",
"type": "Gauge",
"description": "Space used in tempdb data files, in kilobytes."
},
{
"name": "azure_tempdb_data_size_maximum",
"unit": "Count",
"type": "Gauge",
"description": "Space used in tempdb data files, in kilobytes."
},
{
"name": "azure_tempdb_data_size_minimum",
"unit": "Count",
"type": "Gauge",
"description": "Space used in tempdb data files, in kilobytes."
},
{
"name": "azure_tempdb_log_size_average",
"unit": "Count",
"type": "Gauge",
"description": "Space used in the tempdb transaction log file, in kilobytes."
},
{
"name": "azure_tempdb_log_size_maximum",
"unit": "Count",
"type": "Gauge",
"description": "Space used in the tempdb transaction log file, in kilobytes."
},
{
"name": "azure_tempdb_log_size_minimum",
"unit": "Count",
"type": "Gauge",
"description": "Space used in the tempdb transaction log file, in kilobytes."
},
{
"name": "azure_tempdb_log_used_percent_average",
"unit": "Percent",
"type": "Gauge",
"description": "tempdb transaction log space used as a percentage."
},
{
"name": "azure_tempdb_log_used_percent_maximum",
"unit": "Percent",
"type": "Gauge",
"description": "tempdb transaction log space used as a percentage."
},
{
"name": "azure_tempdb_log_used_percent_minimum",
"unit": "Percent",
"type": "Gauge",
"description": "tempdb transaction log space used as a percentage."
}
],
"logs": [
{
"name": "Resource ID",
"path": "resources.azure.resource.id",
"type": "string"
}
]
},
"telemetryCollectionStrategy": {
"azure": {
"resourceProvider": "Microsoft.Sql",
"resourceType": "servers/databases",
"metrics": {},
"logs": {
"categoryGroups": [
"allLogs"
]
}
}
},
"assets": {
"dashboards": [
{
"id": "overview",
"title": "Azure SQL Database Overview",
"description": "Overview of Azure SQL Database metrics",
"definition": "file://assets/dashboards/overview.json"
}
]
}
}

View File

@@ -1,7 +0,0 @@
### Monitor Azure SQL Database with SigNoz
Collect key Azure SQL Database (single database) metrics and view them with an out of the box dashboard.
This integration collects platform metrics for the `Microsoft.Sql/servers/databases` resource type.
Note: This integration is for Azure SQL Database (the PaaS offering). Azure SQL Managed Instance and SQL Server on Azure VMs expose a different set of metrics and are not covered here.

View File

@@ -138,7 +138,14 @@ func (m *module) listMeterMetrics(ctx context.Context, params *metricsexplorerty
func (m *module) listMetrics(ctx context.Context, orgID valuer.UUID, params *metricsexplorertypes.ListMetricsParams) (*metricsexplorertypes.ListMetricsResponse, error) {
sb := sqlbuilder.NewSelectBuilder()
sb.Select("DISTINCT metric_name")
sb.Select(
"metric_name",
"anyLast(description) AS description",
"anyLast(type) AS metric_type",
"argMax(unit, unix_milli) AS metric_unit",
"anyLast(temporality) AS temporality",
"anyLast(is_monotonic) AS is_monotonic",
)
if params.Start != nil && params.End != nil {
start, end, distributedTsTable, _ := telemetrymetrics.WhichTSTableToUse(uint64(*params.Start), uint64(*params.End), nil)
@@ -157,6 +164,7 @@ func (m *module) listMetrics(ctx context.Context, orgID valuer.UUID, params *met
sb.Where(sb.Like("lower(metric_name)", fmt.Sprintf("%%%s%%", searchLower)))
}
sb.GroupBy("metric_name")
sb.OrderBy("metric_name ASC")
sb.Limit(params.Limit)
@@ -170,43 +178,47 @@ func (m *module) listMetrics(ctx context.Context, orgID valuer.UUID, params *met
}
defer rows.Close()
metricNames := make([]string, 0)
var metrics []metricsexplorertypes.ListMetric
var metricNames []string
for rows.Next() {
var name string
if err := rows.Scan(&name); err != nil {
return nil, errors.WrapInternalf(err, errors.CodeInternal, "failed to scan metric name")
var metric metricsexplorertypes.ListMetric
if err := rows.Scan(
&metric.MetricName,
&metric.Description,
&metric.MetricType,
&metric.MetricUnit,
&metric.Temporality,
&metric.IsMonotonic,
); err != nil {
return nil, errors.WrapInternalf(err, errors.CodeInternal, "failed to scan metric")
}
metricNames = append(metricNames, name)
metrics = append(metrics, metric)
metricNames = append(metricNames, metric.MetricName)
}
if err := rows.Err(); err != nil {
return nil, errors.WrapInternalf(err, errors.CodeInternal, "error iterating metric names")
return nil, errors.WrapInternalf(err, errors.CodeInternal, "error iterating metrics")
}
if len(metricNames) == 0 {
if len(metrics) == 0 {
return &metricsexplorertypes.ListMetricsResponse{
Metrics: []metricsexplorertypes.ListMetric{},
}, nil
}
metadata, err := m.GetMetricMetadataMulti(ctx, orgID, metricNames)
// Overlay any user-updated metadata on top of the timeseries metadata.
updatedMetadata, err := m.fetchUpdatedMetadata(ctx, orgID, metricNames)
if err != nil {
return nil, err
}
metrics := make([]metricsexplorertypes.ListMetric, 0, len(metricNames))
for _, name := range metricNames {
metric := metricsexplorertypes.ListMetric{
MetricName: name,
for i := range metrics {
if meta, ok := updatedMetadata[metrics[i].MetricName]; ok && meta != nil {
metrics[i].Description = meta.Description
metrics[i].MetricType = meta.MetricType
metrics[i].MetricUnit = meta.MetricUnit
metrics[i].Temporality = meta.Temporality
metrics[i].IsMonotonic = meta.IsMonotonic
}
if meta, ok := metadata[name]; ok && meta != nil {
metric.Description = meta.Description
metric.MetricType = meta.MetricType
metric.MetricUnit = meta.MetricUnit
metric.Temporality = meta.Temporality
metric.IsMonotonic = meta.IsMonotonic
}
metrics = append(metrics, metric)
}
return &metricsexplorertypes.ListMetricsResponse{
@@ -231,19 +243,18 @@ func (m *module) GetStats(ctx context.Context, orgID valuer.UUID, req *metricsex
}, nil
}
// Get metadata for all metrics
// Overlay any user-updated metadata on top of the timeseries metadata
// that was already fetched in the combined query.
metricNames := make([]string, len(metricStats))
for i := range metricStats {
metricNames[i] = metricStats[i].MetricName
}
metadata, err := m.GetMetricMetadataMulti(ctx, orgID, metricNames)
updatedMetadata, err := m.fetchUpdatedMetadata(ctx, orgID, metricNames)
if err != nil {
return nil, err
}
// Enrich stats with metadata
enrichStatsWithMetadata(metricStats, metadata)
enrichStatsWithMetadata(metricStats, updatedMetadata)
return &metricsexplorertypes.StatsResponse{
Metrics: metricStats,
@@ -975,11 +986,14 @@ func (m *module) fetchMetricsStatsWithSamples(
distributedSamplesTable, _ := telemetrymetrics.WhichSamplesTableToUse(uint64(req.Start), uint64(req.End), metrictypes.UnspecifiedType, metrictypes.TimeAggregationUnspecified, nil)
countExp := telemetrymetrics.CountExpressionForSamplesTable(distributedSamplesTable)
// Timeseries counts per metric
// Timeseries counts and metadata per metric.
tsSB := sqlbuilder.NewSelectBuilder()
tsSB.Select(
"metric_name",
"uniq(fingerprint) AS timeseries",
"anyLast(description) AS description",
"anyLast(type) AS metric_type",
"argMax(unit, unix_milli) AS metric_unit",
)
tsSB.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, distributedTsTable))
tsSB.Where(tsSB.Between("unix_milli", start, end))
@@ -1038,6 +1052,9 @@ func (m *module) fetchMetricsStatsWithSamples(
"COALESCE(ts.timeseries, 0) AS timeseries",
"COALESCE(s.samples, 0) AS samples",
"COUNT(*) OVER() AS total",
"ts.description AS description",
"ts.metric_type AS metric_type",
"ts.metric_unit AS metric_unit",
)
finalSB.From("__time_series_counts ts")
finalSB.JoinWithOption(sqlbuilder.FullOuterJoin, "__sample_counts s", "ts.metric_name = s.metric_name")
@@ -1073,7 +1090,7 @@ func (m *module) fetchMetricsStatsWithSamples(
metricStat metricsexplorertypes.Stat
rowTotal uint64
)
if err := rows.Scan(&metricStat.MetricName, &metricStat.TimeSeries, &metricStat.Samples, &rowTotal); err != nil {
if err := rows.Scan(&metricStat.MetricName, &metricStat.TimeSeries, &metricStat.Samples, &rowTotal, &metricStat.Description, &metricStat.MetricType, &metricStat.MetricUnit); err != nil {
return nil, 0, errors.WrapInternalf(err, errors.CodeInternal, "failed to scan metrics stats row")
}
metricStats = append(metricStats, metricStat)

View File

@@ -31,7 +31,6 @@ var (
AzureServiceAppService = ServiceID{valuer.NewString("appservice")}
AzureServiceContainerApp = ServiceID{valuer.NewString("containerapp")}
AzureServiceAKS = ServiceID{valuer.NewString("aks")}
AzureServiceSQLDatabase = ServiceID{valuer.NewString("sqldatabase")}
)
func (ServiceID) Enum() []any {
@@ -55,7 +54,6 @@ func (ServiceID) Enum() []any {
AzureServiceAppService,
AzureServiceContainerApp,
AzureServiceAKS,
AzureServiceSQLDatabase,
}
}
@@ -83,7 +81,6 @@ var SupportedServices = map[CloudProviderType][]ServiceID{
AzureServiceAppService,
AzureServiceContainerApp,
AzureServiceAKS,
AzureServiceSQLDatabase,
},
}