This application consumes container metrics off the Cloud Foundry Doppler daemon, processes them based on the provided metrics template, and then sends them to a StatsD endpoint.
The application will get metrics for all apps that the user has access to.
To use paas-metric-exporter with GOV.UK PaaS, see the documentation.
The application is based on pivotal-cf/graphite-nozzle.
The following metrics will be exported for every application instance.
| Name | Type | Description |
|---|---|---|
cpu |
gauge | CPU utilisation |
diskBytes |
gauge | Disk usage in bytes |
diskUtilization |
gauge | Disk utilisation in percent (0-100) |
memoryBytes |
gauge | Memory usage in bytes |
memoryUtilization |
gauge | Memory utilisation in percent (0-100) |
crash |
counter | Increased by one if the application crashed for any reason |
requests.1xx |
counter | Number of requests processed with 1xx status |
requests.2xx |
counter | Number of requests processed with 2xx status |
requests.3xx |
counter | Number of requests processed with 3xx status |
requests.4xx |
counter | Number of requests processed with 4xx status |
requests.5xx |
counter | Number of requests processed with 5xx status |
requests.other |
counter | Number of requests processed with unknown status |
responseTime.1xx |
timer | Timing of processed requests with 1xx status |
responseTime.2xx |
timer | Timing of processed requests with 2xx status |
responseTime.3xx |
timer | Timing of processed requests with 3xx status |
responseTime.4xx |
timer | Timing of processed requests with 4xx status |
responseTime.5xx |
timer | Timing of processed requests with 5xx status |
responseTime.other |
timer | Timing of processed requests with unknown status |
Refer to the PaaS Technical Documentation for instructions on how to set up the metrics exporter app. Information on the configuration options are in the following table.
| Configuration Option | Application Flag | Environment Variable | Notes |
|---|---|---|---|
| API endpoint | api-endpoint | API_ENDPOINT | |
| Statsd endpoint | statsd-endpoint | STATSD_ENDPOINT | |
| Statsd prefix | statsd-prefix | STATSD_PREFIX | Namespace prepended to all emitted metric names. The default is mycf which results in metrics names like mycf.cpu, mycf.diskBytes etc |
| Username | username | USERNAME | |
| Password | password | PASSWORD | |
| Skip SSL Validation | skip-ssl-validation | SKIP_SSL_VALIDATION | |
| Enable debug mode | debug | DEBUG | This disables forwarding to statsd and prints to stdout |
| Update frequency | update-frequency | UPDATE_FREQUENCY | The time in seconds, that takes between each apps update call |
| Metric template | metric-template | METRIC_TEMPLATE | The template that will form a new metric namespace |
| Metric Whitelist | metric-whitelist | METRIC_WHITELIST | Comma separated metric name prefixes to enable. All by default. |
| Prometheus Bind Port | prometheus-bind-port | PORT | The port that the prometheus server binds to. Default is 8080 |
| Enable Statsd | enable-statsd | ENABLE_STATSD | Enable the statsd sender. Default is true. |
| Enable prometheus | enable-prometheus | ENABLE_PROMETHEUS | Enable the prometheus sender. Default is false. |
| Enable Loggregator | enable-loggregator | ENABLE_LOGGREGATOR | Enable the Loggregator sender. Default is false. |
By default all the above metrics will be emitted.
You may restrict these, by composing a list of comma separated metric name prefixes. For instance, in order to limit metrics to CPU, Disk usage, Response Times, and Requests metrics:
export METRIC_WHITELIST="cpu,diskBytes,responseTime,requests"
go run main.goYou can use following template fields in your metric template:
{{.App}}- name of the application{{.CellId}}- Cell GUID{{.GUID}}- Application ID{{.Instance}}- Application instance{{.Job}}- BOSH job name e.gcell{{.Metric}}- a metric from the list of available metrics{{.Organisation}}- a CF organisation that the app belongs to{{.Space}}- CF space used to deploy application
To run the test suite, first make sure you have ginkgo and gomega installed:
go get github.com/onsi/ginkgo/ginkgo
go get github.com/onsi/gomega
Then run make test from the root of this repository.
We generate some test mocks using counterfeiter. The mocks need to be regenerated if the mocked interfaces are changed.
To install counterfeiter please run first:
go get github.com/maxbrunsfeld/counterfeiter
To generate the mocks:
make generate