You can install the Metric Registrar CLI plug-in and emit custom app metrics to Metric Registrar by registering your app as a metric source.
For information about how Metric Registrar approaches custom App Metrics and how to configure Metric Registrar, see Metric Registrar and custom App Metrics.
Registering your app as a metric source lets you see custom metrics in App Metrics and configure autoscaling rules with App Autoscaler.
For more information, see App Metrics and Scaling an app using App Autoscaler.
To install the Metric Registrar CLI plug-in:
Log in to the Cloud Foundry Command Line Interface (cf CLI).
Run:
cf install-plugin -r CF-Community "metric-registrar"
To register your app as a metric source, complete one of the following tasks:
Register a metrics endpoint: Register a metrics endpoint for custom metrics to be parsed and emitted to Loggregator. For more information, see Register a Metrics Endpoint.
Register a structured log format: Register a structured log format that can be emitted to Loggregator. For more information, see Register a Structured Log Format.
If you are migrating from and manually sending data to Metrics Forwarder, VMware, register a structured log format. For more information, see Register a structured log format.
Metric Registrar supports custom metrics created with the open-source tool, Prometheus. Prometheus uses a text-based exposition format common in many open-source libraries. It also provides several out-of-the-box metrics for different programming languages.
Note that metrics endpoints must be served over HTTPS.
For more information about Prometheus, see What is Prometheus? in the Prometheus documentation.
For examples of apps that use Prometheus to publish metrics to an endpoint, see metric-registrar-examples in GitHub.
Important These endpoints are public by default. If you do not want to expose public metrics endpoints for your app, see Register a Structured Log Format below.
Before registering a metrics endpoint, you must:
For all Spring apps, update the application.yml
file to include one or more Prometheus endpoints. For example:
management:
endpoints:
web:
exposure:
include: "prometheus"
For all Spring apps, update the security configuration file to permit access to the Prometheus endpoints. For an example, see metric-registrar-examples in GitHub.
For all other apps, see Client libraries in the Prometheus documentation.
To register a public metrics endpoint for an app:
Log in to the cf CLI.
For each Prometheus endpoint in your app, register the endpoint as a metric source:
cf register-metrics-endpoint APP-NAME PATH-OR-URL --insecure
Where:
APP-NAME
is the name of the app.PATH-OR-URL
is the path to the Prometheus endpoint, or a URL without the scheme.For example, if the app name is example
and the metrics endpoint is at https://example.com/metrics
, the command is:
cf register-metrics-endpoint example /metrics --insecure
Or, if pulling metrics by specifying an alternative route also mapped to the same app:
cf register-metrics-endpoint example otherexample.com/metrics --insecure
Important When you specify a URL to a metrics endpoint, the scheme must be omitted and the URL must use HTTPS. When you specify a path to a metrics endpoint, the path must start with a slash (`/`) character. Each metrics endpoint registered with Metric Registrar creates a service instance. If the generated service name is longer than 50 characters, it's encoded with a hash. In Metric Registrar v1.3.1 and later, you must use the `--insecure` flag for the same values that you provided in previous versions.
VMware recommends that you install the LogCache cf CLI plug-in to view metrics.
To install and use the Log Cache cf CLI plug-in:
To install Log Cache, run:
cf install-plugin -r CF-Community "log-cache"
To view metrics for an app, run:
cf tail --envelope-class=metrics APP-NAME
Where APP-NAME
is the name of your app.
For example, if you provide a custom metric called users_per_cpu
as a gauge, you see the following output:
2019-06-18T10:49:28.27-0600 [app-name/1] GAUGE cpu:0.154763 percentage disk:14000128.000000 bytes disk_quota:33554432.000000 bytes memory:10190848.000000 bytes memory_quota:33554432.000000 bytes 2019-06-18T10:49:26.42-0600 [app-name/1] GAUGE users_per_cpu:557.500000
Where the first line is default container metrics and the second line is custom app metrics users_per_cpu
.
Important Metric Registrar produces the following benign error message at every polling interval: [LGR/] ERR Invalid syslog drain URL: parse failure
To register a private metrics endpoint:
Register the endpoint:
cf register-metrics-endpoint APP-NAME PATH --internal-port PORT
Where:
APP-NAME
is the name of the app.PATH
is the path to the Prometheus endpoint.PORT
is the port where the Prometheus endpoint is served.Metric Registrar supports metrics emitted in JSON or DogStatsD formats. For more information see JSON and DogStatsD.
To register your app as a metric source:
Log in to the cf CLI.
Run:
cf register-log-format APP-NAME FORMAT
Where:
APP-NAME
is the name of your app.FORMAT
is either `json` or `DogStatsD`.In your app, log a structured json
or DogStatsD
message to represent the custom metric.
The following table shows the supported JSON format for event, gauge, and counter log types.
Type | Format |
---|---|
Events | { "type": "event", "title": "title", "body": "body", "tags": { "tag1": "tag value" } } |
Gauges | { "type": "gauge", "name": "some-counter", "value": |
Counters | { "type": "counter", "name": "some-counter", "delta": |
The following table shows the supported DogStatsD format for event, gauge, and counter log types. It also lists the supported fields. For more information about DogStatsD, see DogStatsD in the Datadog documentation.
Type | Format | Supported Fields |
---|---|---|
Events | _e{title.length,text.length}:title|text|d:timestamp| |
title text |
Gauges | gauge.name:value|g|@sample_rate|#tag1:value,tag2 |
gauge.name value |
Counters | counter.name:value|c|@sample_rate|#tag1:value,tag2 |
counter.name value |
Metric Registrar uses the syslog drain User Provided Service.
To create a Metric Registrar Service, run the following command:
Create the service:
cf create-user-provided-service SERVICE-NAME -l BINDING
Where:
SERVICE-NAME
is the name you choose for the service.BINDING
is the service binding. The binding can use the following schemes:
secure-endpoint://
metrics-endpoint://
structured-format://
Bind the provided service:
cf bind-service APP-NAME SERVICE-NAME
Where:
APP-NAME
is the name of the app.SERVICE-NAME
is the service name you chose in the previous step.Metric Registrar supports metrics emitted in JSON or DogStatsD formats. For metrics endpoints, the rest of the URI specifies the host, port, and path of the metrics endpoint.
For example:
secure-endpoint://:8081/metrics
metrics-endpoint:///metrics
structured-format://json
For a secure endpoint, you must expose the additional port you are serving on using Diego.
For example:
cf curl /v2/apps/APP-GUID -X PUT -d '{"ports": [PORT1, PORT2, PORT3...]}'
Where:
APP-GUID
is the GUID of your app.PORT1, PORT2, PORT3...
is a comma separated list of the ports on which you want your app to receive traffic.