Metric Setsedit

CPU/Memory Metric Setedit

elasticapm.metrics.sets.cpu.CPUMetricSet

This metric set collects various system metrics and metrics of the current process.

system.cpu.total.norm.pct

type: scaled_float

format: percent

The percentage of CPU time in states other than Idle and IOWait, normalised by the number of cores.

system.process.cpu.total.norm.pct

type: scaled_float

format: percent

The percentage of CPU time spent by the process since the last event. This value is normalized by the number of CPU cores and it ranges from 0 to 100%.

system.memory.total

type: long

format: bytes

Total memory.

system.memory.actual.free

type: long

format: bytes

Actual free memory in bytes.

system.process.memory.size

type: long

format: bytes

The total virtual memory the process has.

system.process.memory.rss.bytes

type: long

format: bytes

he Resident Set Size. The amount of memory the process occupied in main memory (RAM).

Note

if you do not use Linux, you need to install psutil for this metric set.

Transactions Metric Setedit

This metric set collects metrics in relation with transactions.

transaction.duration

type: simple timer

This timer tracks the duration of transactions and allows for the creation of graphs displaying a weighted average.

Fields:

  • sum: The sum of all transaction durations in ms since the last report (the delta)
  • count: The count of all transactions since the last report (the delta)

You can filter and group by these dimensions:

  • transaction.name: The name of the transaction
  • transaction.type: The type of the transaction, for example request

Breakdown Metric Setedit

Note

tracking and collection of this metric set can be disabled using the <<config-breakdown_metrics, breakdown_metrics>> setting.

transaction.breakdown.count

type: long

format: count (delta)

The number of transactions for which breakdown metrics (span.self_time) have been created. As the Java agent tracks the breakdown for both sampled and non-sampled transactions, this metric is equivalent to transaction.duration.count

You can filter and group by these dimensions:

  • transaction.name: The name of the transaction
  • transaction.type: The type of the transaction, for example request
span.self_time

type: simple timer

This timer tracks the span self-times and is the basis of the transaction breakdown visualization.

Fields:

  • sum: The sum of all span self-times in ms since the last report (the delta)
  • count: The count of all span self-times since the last report (the delta)

You can filter and group by these dimensions:

  • transaction.name: The name of the transaction
  • transaction.type: The type of the transaction, for example request
  • span.type: The type of the span, for example app, template or db
  • span.subtype: The sub-type of the span, for example mysql (optional)