AWS Integration - RDS

Mackerel supports obtaining and monitoring Amazon Relational Database Service (RDS) metrics in AWS Integration. When integrating with AWS Integration, billable targets are determined using the following conversions.

  • For Aurora Serverless v1: 1 Cluster = 1 Micro Host
  • For others: 1 Instance = 1 Micro Host

In addition to this, depending on the number of metrics retrieved, you may be charged for exceeding the maximum number of metrics per micro host.

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

Obtaining metrics

The metrics obtainable with AWS Integration’s RDS support are as follows. For Metric explanations, refer to the AWS help pages (Aurora and otherwise).

For each DB engine, the maximum number of metrics shown in the table below is obtained.

DB engine The maximum number of metrics obtainable
RDS PostgreSQL 24
SQL Server 20
Other than those above 19
Aurora MySQL 47
PostgreSQL 43
Aurora Serverless v1 MySQL 41
PostgreSQL 40

Common metrics

The following metrics can be obtained in common for RDS, Aurora, and Aurora Serverless v1.

Graph name Metric Metric name in Mackerel Unit Statistics
CPU CPUUtilization rds.cpu.used percentage Average
CPU Credit CPUCreditUsage
CPUCreditBalance
rds.cpu_credit.used
rds.cpu_credit.balance
float Average
Database Connections DatabaseConnections rds.database_connections.used float Average
BinLog Disk Usage BinLogDiskUsage rds.disk_usage.bin_log bytes Average
Memory FreeableMemory
SwapUsage
rds.memory.free
rds.memory.swap
bytes Average
Network Throughput NetworkReceiveThroughput
NetworkTransmitThroughput
rds.network_throughput.read
rds.network_throughput.transmit
bytes/sec Average
gp2 Storage Burst Balance BurstBalance rds.burst_balance.balance percentage Average
Maximum Used Transaction IDs MaximumUsedTransactionIDs *1 rds.maximum_used_transaction_ids.count integer Average
*1 Applies to PostgreSQL


RDS metrics

In the case of RDS, the following metrics can be obtained in addition to the above common metrics.

Graph name Metric Metric name in Mackerel Unit Statistics
Disk Queue DiskQueueDepth rds.disk_queue.depth float Average
Free Storage Space FreeStorageSpace rds.disk.free bytes Average
Replica Lag ReplicaLag rds.replica_lag.lag float Average
Disk IOPS ReadIOPS
WriteIOPS
rds.diskiops.read
rds.diskiops.write
iops Average
Disk Latency ReadLatency
WriteLatency
rds.latency.read
rds.latency.write
float Average
Disk Throughput ReadThroughput
WriteThroughput
rds.throughput.read
rds.throughput.write
bytes/sec Average
Disk Usage ReplicationSlotDiskUsage *2
TransactionLogsDiskUsage *2
rds.postgres_disk_usage.replication_slot
rds.postgres_disk_usage.transaction_logs
bytes Average
Oldest Replication Slot Lag OldestReplicationSlotLag *2 rds.oldest_replication_slot_lag.slot_lag bytes Average
Transaction Logs Generation TransactionLogsGeneration *2 rds.transaction_logs_generation.transaction_log bytes/sec Average
Failed SQL Server Agent Jobs FailedSQLServerAgentJobsCount *3 rds.failed_sql_server_agent_jobs.failed integer Average
*2 Applies to PostgreSQL
*3 Applies to Microsoft SQL Server


Aurora metrics

In the case of Aurora, the following metrics can be obtained in addition to the above common metrics.

Graph name Metric Metric name in Mackerel Unit Statistics
Storage FreeLocalStorage rds.aurora.storage.free bytes Average
BinLog Replica Lag AuroraBinlogReplicaLag rds.aurora.binlog_replica_lag.lag float Average
Replica Lag AuroraReplicaLag
AuroraReplicaLagMaximum
AuroraReplicaLagMinimum
rds.aurora.replica_lag.lag
rds.aurora.replica_lag.max_lag
rds.aurora.replica_lag.min_lag
float Average
Engine Uptime EngineUptime rds.aurora.engine_uptime.uptime float Average
Transactions ActiveTransactions
BlockedTransactions
rds.aurora.transactions.active
rds.aurora.transactions.blocked
float Average
Cache Hit Ratio BufferCacheHitRatio
ResultSetCacheHitRatio
rds.aurora.hit_ratio.buffer
rds.aurora.hit_ratio.result_set
percentage Average
DML Latency InsertLatency
UpdateLatency
DeleteLatency
DMLLatency
rds.aurora.dml_latency.insert
rds.aurora.dml_latency.update
rds.aurora.dml_latency.delete
rds.aurora.dml_latency.dml
float Average
DML throughput InsertThroughput
UpdateThroughput
DeleteThroughput
DMLThroughput
rds.aurora.dml_throughput.insert
rds.aurora.dml_throughput.update
rds.aurora.dml_throughput.delete
rds.aurora.dml_throughput.dml
float Average
Commit Latency CommitLatency rds.aurora.commit_latency.commit float Average
Commit Throughput CommitThroughput rds.aurora.commit_throughput.commit float Average
Select Latency SelectLatency rds.aurora.select_latency.select float Average
Select Throughput SelectThroughput rds.aurora.select_throughput.select float Average
DDL Latency DDLLatency rds.aurora.ddl_latency.ddl float Average
DDL Throughput DDLThroughput rds.aurora.ddl_throughput.ddl float Average
Queries Queries rds.aurora.queries.queries float Average
Login Failures LoginFailures rds.aurora.login_failures.failures float Average
Deadlocks Deadlocks rds.aurora.deadlocks.deadlocks float Average
Backtrack Window Difference BacktrackWindowActual *4 rds.aurora.backtrack_window_difference.minutes integer Average
Backtrack Window Alert BacktrackWindowAlert *4 rds.aurora.backtrack_window_alert.alert integer Sum
Aurora Volume Bytes Left Total AuroraVolumeBytesLeftTotal *4 rds.aurora.aurora_volume_bytes_left_total.total bytes Average
Aborted Clients AbortedClients *4 rds.aurora.aborted_clients.aborted integer Sum
Row Lock Time RowLockTime *4 rds.aurora.row_lock_time.row_lock float Average
Volume Used VolumeBytesUsed *5 rds.aurora.volume_used.bytes bytes Average
*4 Applies to Aurora MySQL
*5 Generated per cluster. Instances of the same cluster will display the same metric.


Aurora Serverless v1 metrics

In the case of Aurora Serverless v1, the following metrics can be obtained in addition to the above Aurora metrics.

Graph name Metric Metric name in Mackerel Unit Statistics
Serverless Database Capacity ServerlessDatabaseCapacity rds.aurora.serverless_database_capacity.capacity float Average

Aurora Serverless v2 metrics

In the case of Aurora Serverless v2, the following metrics can be obtained in addition to the above Aurora metrics.

Graph name Metric Metric name in Mackerel Unit Statistics
Serverless Database Capacity ServerlessDatabaseCapacity rds.aurora.serverless_database_capacity.capacity float Average
ACU Utilization ACUUtilization rds.aurora.acu_utilization.utilization percentage Average
Temp Storage IOPS TempStorageIOPS rds.aurora.temp_storage_iops.iops iops Average
Temp Storage Throughput TempStorageThroughput rds.aurora.temp_storage_throughput.throughput bytes/sec Average

Precautions

Among the graphs/metrics obtainable with AWS Integration, metrics included in the following graphs are usually obtained in 5 minute intervals.

  • CPU Credit
  • gp2 Storage Burst Balance
  • Volume Used

This is specified by the AWS CloudWatch API.