mirror of
https://github.com/SigNoz/signoz.git
synced 2026-06-12 11:50:28 +01:00
Compare commits
3 Commits
nv/10890
...
issue_5324
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
01cc8ec1d1 | ||
|
|
8fe3f769c2 | ||
|
|
e6d8713e1c |
@@ -1364,6 +1364,7 @@ components:
|
||||
- appservice
|
||||
- containerapp
|
||||
- aks
|
||||
- sqldatabase
|
||||
type: string
|
||||
CloudintegrationtypesServiceMetadata:
|
||||
properties:
|
||||
|
||||
@@ -2655,6 +2655,7 @@ export enum CloudintegrationtypesServiceIDDTO {
|
||||
appservice = 'appservice',
|
||||
containerapp = 'containerapp',
|
||||
aks = 'aks',
|
||||
sqldatabase = 'sqldatabase',
|
||||
}
|
||||
export type CloudintegrationtypesCloudIntegrationServiceDTOAnyOf = {
|
||||
/**
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 18 18"><defs><linearGradient id="f67d1585-6164-4ad0-b2dd-f9cc59b2969f" x1="9.908" y1="15.943" x2="7.516" y2="2.383" gradientUnits="userSpaceOnUse"><stop offset="0.15" stop-color="#0078d4"/><stop offset="0.8" stop-color="#5ea0ef"/><stop offset="1" stop-color="#83b9f9"/></linearGradient></defs><g id="a4fd1868-54fe-4ca6-8ff6-3b01866dc27b"><path d="M14.49,7.15A5.147,5.147,0,0,0,9.24,2.164,5.272,5.272,0,0,0,4.216,5.653,4.869,4.869,0,0,0,0,10.4a4.946,4.946,0,0,0,5.068,4.814H13.82A4.292,4.292,0,0,0,18,11.127,4.105,4.105,0,0,0,14.49,7.15Z" fill="url(#f67d1585-6164-4ad0-b2dd-f9cc59b2969f)"/><path d="M12.9,11.4V8H12v4.13h2.46V11.4ZM5.76,9.73a1.825,1.825,0,0,1-.51-.31.441.441,0,0,1-.12-.32.342.342,0,0,1,.15-.3.683.683,0,0,1,.42-.12,1.62,1.62,0,0,1,1,.29V8.11a2.58,2.58,0,0,0-1-.16,1.641,1.641,0,0,0-1.09.34,1.08,1.08,0,0,0-.42.89c0,.51.32.91,1,1.21a2.907,2.907,0,0,1,.62.36.419.419,0,0,1,.15.32.381.381,0,0,1-.16.31.806.806,0,0,1-.45.11,1.66,1.66,0,0,1-1.09-.42V12a2.173,2.173,0,0,0,1.07.24,1.877,1.877,0,0,0,1.18-.33A1.08,1.08,0,0,0,6.84,11a1.048,1.048,0,0,0-.25-.7A2.425,2.425,0,0,0,5.76,9.73ZM11,11.32A2.191,2.191,0,0,0,11,9a1.808,1.808,0,0,0-.7-.75,2,2,0,0,0-1-.26,2.112,2.112,0,0,0-1.08.27A1.856,1.856,0,0,0,7.49,9a2.465,2.465,0,0,0-.26,1.14,2.256,2.256,0,0,0,.24,1,1.766,1.766,0,0,0,.69.74,2.056,2.056,0,0,0,1,.3l.86,1h1.21L10,12.08A1.79,1.79,0,0,0,11,11.32Zm-1-.25a.941.941,0,0,1-.76.35.916.916,0,0,1-.76-.36,1.523,1.523,0,0,1-.29-1,1.529,1.529,0,0,1,.29-1,1,1,0,0,1,.78-.37.869.869,0,0,1,.75.37,1.619,1.619,0,0,1,.27,1A1.459,1.459,0,0,1,10,11.07Z" fill="#f2f2f2"/></g></svg>
|
||||
|
After Width: | Height: | Size: 1.6 KiB |
@@ -0,0 +1,565 @@
|
||||
{
|
||||
"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"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,7 @@
|
||||
### 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.
|
||||
@@ -138,14 +138,7 @@ 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(
|
||||
"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",
|
||||
)
|
||||
sb.Select("DISTINCT metric_name")
|
||||
|
||||
if params.Start != nil && params.End != nil {
|
||||
start, end, distributedTsTable, _ := telemetrymetrics.WhichTSTableToUse(uint64(*params.Start), uint64(*params.End), nil)
|
||||
@@ -164,7 +157,6 @@ 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)
|
||||
|
||||
@@ -178,47 +170,43 @@ func (m *module) listMetrics(ctx context.Context, orgID valuer.UUID, params *met
|
||||
}
|
||||
defer rows.Close()
|
||||
|
||||
var metrics []metricsexplorertypes.ListMetric
|
||||
var metricNames []string
|
||||
metricNames := make([]string, 0)
|
||||
for rows.Next() {
|
||||
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")
|
||||
var name string
|
||||
if err := rows.Scan(&name); err != nil {
|
||||
return nil, errors.WrapInternalf(err, errors.CodeInternal, "failed to scan metric name")
|
||||
}
|
||||
metrics = append(metrics, metric)
|
||||
metricNames = append(metricNames, metric.MetricName)
|
||||
metricNames = append(metricNames, name)
|
||||
}
|
||||
|
||||
if err := rows.Err(); err != nil {
|
||||
return nil, errors.WrapInternalf(err, errors.CodeInternal, "error iterating metrics")
|
||||
return nil, errors.WrapInternalf(err, errors.CodeInternal, "error iterating metric names")
|
||||
}
|
||||
|
||||
if len(metrics) == 0 {
|
||||
if len(metricNames) == 0 {
|
||||
return &metricsexplorertypes.ListMetricsResponse{
|
||||
Metrics: []metricsexplorertypes.ListMetric{},
|
||||
}, nil
|
||||
}
|
||||
|
||||
// Overlay any user-updated metadata on top of the timeseries metadata.
|
||||
updatedMetadata, err := m.fetchUpdatedMetadata(ctx, orgID, metricNames)
|
||||
metadata, err := m.GetMetricMetadataMulti(ctx, orgID, metricNames)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
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
|
||||
|
||||
metrics := make([]metricsexplorertypes.ListMetric, 0, len(metricNames))
|
||||
for _, name := range metricNames {
|
||||
metric := metricsexplorertypes.ListMetric{
|
||||
MetricName: name,
|
||||
}
|
||||
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{
|
||||
@@ -243,18 +231,19 @@ func (m *module) GetStats(ctx context.Context, orgID valuer.UUID, req *metricsex
|
||||
}, nil
|
||||
}
|
||||
|
||||
// Overlay any user-updated metadata on top of the timeseries metadata
|
||||
// that was already fetched in the combined query.
|
||||
// Get metadata for all metrics
|
||||
metricNames := make([]string, len(metricStats))
|
||||
for i := range metricStats {
|
||||
metricNames[i] = metricStats[i].MetricName
|
||||
}
|
||||
|
||||
updatedMetadata, err := m.fetchUpdatedMetadata(ctx, orgID, metricNames)
|
||||
metadata, err := m.GetMetricMetadataMulti(ctx, orgID, metricNames)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
enrichStatsWithMetadata(metricStats, updatedMetadata)
|
||||
|
||||
// Enrich stats with metadata
|
||||
enrichStatsWithMetadata(metricStats, metadata)
|
||||
|
||||
return &metricsexplorertypes.StatsResponse{
|
||||
Metrics: metricStats,
|
||||
@@ -986,14 +975,11 @@ func (m *module) fetchMetricsStatsWithSamples(
|
||||
distributedSamplesTable, _ := telemetrymetrics.WhichSamplesTableToUse(uint64(req.Start), uint64(req.End), metrictypes.UnspecifiedType, metrictypes.TimeAggregationUnspecified, nil)
|
||||
countExp := telemetrymetrics.CountExpressionForSamplesTable(distributedSamplesTable)
|
||||
|
||||
// Timeseries counts and metadata per metric.
|
||||
// Timeseries counts 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))
|
||||
@@ -1052,9 +1038,6 @@ 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")
|
||||
@@ -1090,7 +1073,7 @@ func (m *module) fetchMetricsStatsWithSamples(
|
||||
metricStat metricsexplorertypes.Stat
|
||||
rowTotal uint64
|
||||
)
|
||||
if err := rows.Scan(&metricStat.MetricName, &metricStat.TimeSeries, &metricStat.Samples, &rowTotal, &metricStat.Description, &metricStat.MetricType, &metricStat.MetricUnit); err != nil {
|
||||
if err := rows.Scan(&metricStat.MetricName, &metricStat.TimeSeries, &metricStat.Samples, &rowTotal); err != nil {
|
||||
return nil, 0, errors.WrapInternalf(err, errors.CodeInternal, "failed to scan metrics stats row")
|
||||
}
|
||||
metricStats = append(metricStats, metricStat)
|
||||
|
||||
@@ -31,6 +31,7 @@ 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 {
|
||||
@@ -54,6 +55,7 @@ func (ServiceID) Enum() []any {
|
||||
AzureServiceAppService,
|
||||
AzureServiceContainerApp,
|
||||
AzureServiceAKS,
|
||||
AzureServiceSQLDatabase,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -81,6 +83,7 @@ var SupportedServices = map[CloudProviderType][]ServiceID{
|
||||
AzureServiceAppService,
|
||||
AzureServiceContainerApp,
|
||||
AzureServiceAKS,
|
||||
AzureServiceSQLDatabase,
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
Reference in New Issue
Block a user