Promitor

This article covers an overview of all the knobs that you can tweak to align the runtime with your needs.

Promitor runtime is configured by mounting the configuration to a volume.

Depending on the operating system, it need to be available on :

• /config/runtime.yaml for Linux
• c:/config/runtime.yaml for Windows

We provide the capability to override te runtime YAML via environment variables, if you have the need for it.

Here is a complete example of the runtime YAML:

server:
  httpPort: 80 # Optional. Default: 80
metricSinks:
  statsd:
    host: graphite
    port: 8125 # Optional. Default: 8125
    metricPrefix: promitor. # Optional. Default: None
prometheus:
  metricUnavailableValue: NaN # Optional. Default: NaN
  enableMetricTimestamps: false # Optional. Default: true
  scrapeEndpoint:
    baseUriPath: /metrics # Optional. Default: /metrics
metricsConfiguration:
  absolutePath: /config/metrics-declaration.yaml # Optional. Default: /config/metrics-declaration.yaml
telemetry:
  applicationInsights:
    instrumentationKey: ABC # Optional. Note: Required to be specified when turned on
    isEnabled: false # Optional. Default: false
    verbosity: trace # Optional. Default: N/A
  containerLogs:
    isEnabled: true # Optional. Default: true
    verbosity: trace # Optional. Default: N/A
  defaultVerbosity: error # Optional. Default: error

Note: Using Promitor v0.x? Use environment variables to configure the runtime.

Runtime

The Promitor runtime is flexible and allows you to configure it to meet your needs:

• server.httpPort - Defines the port to serve HTTP traffic (default 80)

Example:

server:
  httpPort: 80 # Optional. Default: 80

Metric Sinks

Promitor automatically scrapes Azure Monitor and makes the information available by providing the metric information to the configured sinks.

As of today, we support the follow sinks:

• Prometheus Scraping Endpoint
• StatsD

Prometheus Scraping Endpoint

In order to expose a Prometheus Scraping endpoint, you’ll need to configure the sink:

• prometheusScrapingEndpoint.metricUnavailableValue - Defines the value that will be reported if a metric is unavailable. (Default: NaN)
• prometheusScrapingEndpoint.enableMetricTimestamps - Defines whether or not a timestamp should be included when the value was scraped on Azure Monitor. Supported values are True to opt-in & False to opt-out. (Default: true)
• prometheusScrapingEndpoint.scrapeEndpoint.baseUriPath - Controls the path where the scraping endpoint for Prometheus is being exposed. (Default: /metrics)

metricSinks:
  prometheusScrapingEndpoint:
    metricUnavailableValue: NaN # Optional. Default: NaN
    enableMetricTimestamps: false # Optional. Default: true
    baseUriPath: /metrics # Optional. Default: /metrics

StatsD

In order to push metrics to a StatsD server, you’ll need to configure the sink:

• metricSinks.statsd.host - DNS name or IP address of StatsD server.
• metricSinks.statsd.host - Port (UDP) address of StatsD server. (Default: 8125)
• metricSinks.statsd.metricPrefix - Prefix that will be added to every metric defined in the metric declaration.

metricSinks:
  statsd:
    host: graphite
    port: 8125
    metricPrefix: promitor.

Prometheus Scraping Endpoint - Legacy Configuration

For now, we still support configuring it by using the the old way of configuration:

prometheus:
  metricUnavailableValue: NaN # Optional. Default: NaN
  enableMetricTimestamps: false # Optional. Default: true
  scrapeEndpoint:
    baseUriPath: /metrics # Optional. Default: /metrics

However, this approach is deprecated and will be removed in 2.0 so we recommend migrating to metric sink approach.

Metric Configuration

Promitor will scrape the Azure Monitor metrics that are configured via a metric declaration YAML.

The behavior of this is configurable:

• metricsConfiguration.absolutePath - Defines the location of the YAML file that declares what Azure Monitor metrics to scrape. (Default: /config/metrics-declaration.yaml)

Example:

metricsConfiguration:
  absolutePath: /config/metrics-declaration.yaml # Optional. Default: /config/metrics-declaration.yaml

Telemetry

We provide insights in how our runtime is doing and is written to one or more sinks.

You can determine what telemetry sinks you want and what the default verbosity should be via the runtime YAML.

General telemetry information can be configured:

• telemetry.defaultVerbosity- Defines the default minimum log level that should be logged if a sink does not provide one. Allowed values are Trace, Debug, Information, Warning, Error, Critical, None ordered from most to least verbose. (Default: Error)

To learn more about the configured sinks and their configuration, see “Telemetry Sinks”.

Example:

telemetry:
  applicationInsights:
    # [...]
  containerLogs:
    # [...]
  defaultVerbosity: error # Optional. Default: error

Telemetry Sinks

Promitor provides the telemetry, but it’s up to you to choose where you want to send it to.

We currently support the following sinks:

• Container Logs (stdout/stderr)
• Azure Application Insights

Container Logs

Promitor can send telemetry to stdout/stderr.

In order to enable use this sink, the following configuration needs to be provided:

• telemetry.containerLogs.isEnabled - Determines if the sink is used or not. (Default: true)
• telemetry.containerLogs.verbosity - Verbosity to use for this sink, if not specified then the telemetry.defaultVerbosity will be used. (Optional)

Example:

telemetry:
  containerLogs:
    isEnabled: true # Optional. Default: true
    verbosity: trace # Optional. Default: N/A
  defaultVerbosity: error # Optional. Default: error

Azure Application Insights

Promitor can send telemetry to Azure Application Insights when there is a need to.

It currently supports:

• Traces
• Exceptions

In order to enable use this sink, the following configuration needs to be provided:

• telemetry.applicationInsights.isEnabled - Determines if the sink is used or not. (Default: true)
• telemetry.applicationInsights.verbosity - Verbosity to use for this sink, if not specified then the telemetry.defaultVerbosity will be used. (Optional)
• telemetry.applicationInsights.instrumentationKey - Defines the instrumentation key to use when sending telemetry to Azure Application Insights

Example:

telemetry:
  applicationInsights:
    instrumentationKey: ABC # Optional. Note: Required to be specified when turned on
    isEnabled: false # Optional. Default: false
    verbosity: trace # Optional. Default: N/A
  containerLogs:
    isEnabled: true # Optional. Default: true
    verbosity: trace # Optional. Default: N/A
  defaultVerbosity: error # Optional. Default: error

Azure Monitor

Promitor interacts with Azure Monitor API to scrape all the required metrics.

During troubleshooting it can be interesting to gain insights on what the API returns, for which you can opt-in.

The behavior of this can be configured to fit your needs:

• azureMonitor.logging.informationLevel - Defines granularity of information that should be reported. Available options are Basic, Headers, Body & BodyAndHeaders. (Default: Basic)
• azureMonitor.logging.isEnabled - Defines whether or not information concerning the integration with Azure Monitor API. (Default: false)

Example:

azureMonitor:
  logging:
    informationLevel: Basic # Optional. Default: Basic
    isEnabled: false # Optional. Default: false

Note: All telemetry is emitted as verbose so you have to make sure telemetry is configured correctly.

Overriding configuration with environment variables

In certain scenarios you’d like to override what was configured in the runtime YAML. Therefore we provide the capability to override them via environment variables.

Every environment variable should be prefixed with PROMITOR_YAML_OVERRIDE_ followed by the YAML hierarchy where every level is replaced with __ rather than a tab. Environment variables are not case sensitive.

Our runtime configuration API endpoint allows you to verify if it was overriden and returns what will be used to run Promitor.

Depending on the configuration that is changed it may be required to restart Promitor, for example changing the HTTP port.

Example

Let’s say we want to override the following HTTP port:

server:
  httpPort: 80

An environment variable called PROMITOR_YAML_OVERRIDE_server__httpPort can be provided which specifies the new port.

← back