Meter receiver

The meter receiver accepts the metrics of meter protocol into the meter system.

Module definition

Module definition is defined in application.yml, typically located at $SKYWALKING_BASE_DIR/config/application.yml by default.

  selector: ${SW_RECEIVER_METER:default}

In Kafka Fetcher, follow these configurations to enable it.

  selector: ${SW_KAFKA_FETCHER:default}
    bootstrapServers: ${SW_KAFKA_FETCHER_SERVERS:localhost:9092}

Meter collection

Custom metrics may be collected by Manual Meter API. Custom metrics collected cannot be used directly, they should be configured in meter-analyzer-config configuration files, which is described in next part.

The receiver adds labels with key = service and key = instance to the collected data samples, and values from service and service instance name defined in SkyWalking Agent, for identification of the metric data.

A typical manual meter API set is Spring Sleuth APIs

Configuration file

The meter receiver is configured via a configuration file. The configuration file defines everything related to receiving from agents, as well as which rule files to load.

The OAP can load the configuration at bootstrap. If the new configuration is not well-formed, the OAP may fail to start up. The files are located at $CLASSPATH/meter-analyzer-config.

New meter-analyzer-config files is NOT enabled by default, you should make meter configuration take effect through section agent-analyzer in application.yml of skywalking backend.

   selector: ${SW_AGENT_ANALYZER:default}
     # ... take care of other analyzers
     meterAnalyzerActiveFiles: ${SW_METER_ANALYZER_ACTIVE_FILES:your-custom-meter-conf-without-ext-name} # The multiple files should be separated by ","

Meter-analyzer-config file is written in YAML format, defined by the scheme described below. Brackets indicate that a parameter is optional.

An example can be found here. If you’re using Spring Sleuth, see Spring Sleuth Setup.

Rule Name Description Configuration File Data Source
spring-sleuth Metrics of Spring Sleuth Application meter-analyzer-config/spring-sleuth.yaml Sprign Sleuth Application –meter format–> SkyWalking OAP Server

Meters configuration

# filter the metrics, only those metrics that satisfy this condition will be passed into the `metricsRules` below.
filter: <closure> # example: '{ tags -> tags.job_name == "vm-monitoring" }'
# expSuffix is appended to all expression in this file.
expSuffix: <string>
# insert metricPrefix into metric name:  <metricPrefix>_<raw_metric_name>
metricPrefix: <string>
# Metrics rule allow you to recompute queries.
  # The name of rule, which combinates with a prefix '<metricPrefix>_' as the index/table name in storage.
  # The name with prefix can also be quoted in UI (Dashboard/Template/Item/Metrics)
  name: <string>
  # MAL expression. Raw name of custom metrics collected can be used here
  exp: <string>

For more information on MAL, please refer to

rate, irate, and increase

Although we support the rate, irate, increase functions in the backend, we still recommend users to consider using client-side APIs to run these functions. The reasons are as follows:

  1. The OAP has to set up caches to calculate the values.
  2. Once the agent reconnects to another OAP instance, the time windows of rate calculation break. This leads to inaccurate results.