Azure Integration - Database for MySQL

Mackerel supports obtaining and monitoring Database for MySQL metrics in Azure Integration. Billable targets are determined using the conversion 1 resource = 1 Micro Host.

Please refer to the following page for Azure Integration configuration methods and a list of supported Azure services.
Azure Integration

Obtaining metrics

The following metrics can be retrieved for Database for MySQL. A maximum of 36 metrics will be retrieved. The actual metrics obtained may be reduced depending on the server SKU and role. For Metric explanations, please refer to the Azure documentation.

Graph names Metric Metric name in Mackerel Unit Aggregation Type
Backup Storage used backup_storage_used azure.db_for_mysql.backup_storage_used.bytes bytes Average
Connections active_connections
aborted_connections
total_connections
azure.db_for_mysql.connections.active
azure.db_for_mysql.connections.aborted
azure.db_for_mysql.connections.total
float Average
Total
Total
CPU credits Remaining/Consumed cpu_credits_remaining
cpu_credits_consumed
azure.db_for_mysql.cpu_credits.remaining
azure.db_for_mysql.cpu_credits.consumed
float Average
CPU percent cpu_percent azure.db_for_mysql.cpu.percent percentage Average
HA IO/SQL Status HA_IO_status
HA_SQL_status
azure.db_for_mysql.ha_status.io
azure.db_for_mysql.ha_status.sql
float Average
InnoDB Buffer Pool Reads/Requests Count Innodb_buffer_pool_reads
Innodb_buffer_pool_read_requests
azure.db_for_mysql.innodb_buffer_pool_read.reads
azure.db_for_mysql.innodb_buffer_pool_read.requests
float Total
IO percent io_consumption_percent azure.db_for_mysql.io.percent percentage Average
Memory percent memory_percent azure.db_for_mysql.memory.percent percentage Average
MySQL DDL Command Com_create_db
Com_drop_db
Com_create_table
Com_drop_table
Com_alter_table
azure.db_for_mysql.cmd_ddl.Com_create_db
azure.db_for_mysql.cmd_ddl.Com_drop_db
azure.db_for_mysql.cmd_ddl.Com_create_table
azure.db_for_mysql.cmd_ddl.Com_drop_table
azure.db_for_mysql.cmd_ddl.Com_alter_table
float Total
MySQL DML Command Com_select
Com_update
Com_insert
Com_delete
azure.db_for_mysql.cmd_dml.Com_select
azure.db_for_mysql.cmd_dml.Com_update
azure.db_for_mysql.cmd_dml.Com_insert
azure.db_for_mysql.cmd_dml.Com_delete
float Total
Network In/Out network_bytes_egress
network_bytes_ingress
azure.db_for_mysql.network.out
azure.db_for_mysql.network.in
bytes Total
Total/Slow Queries Queries
Slow_queries
azure.db_for_mysql.queries.total
azure.db_for_mysql.queries.slow
float Total
Replica IO/SQL Running Replica_IO_Running
Replica_SQL_Running
db_for_mysql.replica_running.io
db_for_mysql.replica_running.sql
float Average
Replication lag in seconds replication_lag db_for_mysql.replication_lag seconds Maximum
Server Log storage limit/used serverlog_storage_limit
serverlog_storage_usage
azure.db_for_mysql.server_log_storage_limit_used.limit
azure.db_for_mysql.server_log_storage_limit_used.used
bytes Maximum
Average
Server Log storage percent serverlog_storage_percent azure.db_for_mysql.server_log_storage.percent percentage Average
Storage IO count storage_io_count azure.db_for_mysql.storage_io_count float Total
Storage limit/used storage_limit
storage_used
azure.db_for_mysql.storage_limit_used.limit
azure.db_for_mysql.storage_limit_used.used
bytes Maximum
Average
Storage percent storage_percent azure.db_for_mysql.storage.percent percentage Average

Notes

  • Of the graphs / metrics that can be obtained with Azure integration listed above, Backup Storage used is normally obtained with a 15-minute interval granularity according to the specifications of the Azure Monitor API used by Azure integration. Also, updates can have a latency of up to 30 minutes.