You can use Metricbeat on Cloud Foundry to retrieve and ship metrics.
To connect to loggregator and receive the logs, Metricbeat requires credentials created with UAA. The
command creates the required credentials for connecting to loggregator.
uaac client add metricbeat --name metricbeat --secret changeme --authorized_grant_types client_credentials,refresh_token --authorities doppler.firehose,cloud_controller.admin_read_only
Use a unique secret: The
uaac command shown here is an example. Remember to
changeme with your secret, and update the
metricbeat.yml file to
use your chosen secret.
You deploy Metricbeat as an application with no route.
Cloud Foundry requires that 3 files exist inside of a directory to allow Metricbeat to be pushed. The commands below provide the basic steps for getting it up and running.
curl -L -O https://artifacts.elastic.co/downloads/beats/metricbeat/metricbeat-7.12.1-linux-x86_64.tar.gz tar xzvf metricbeat-7.12.1-linux-x86_64.tar.gz cd metricbeat-7.12.1-linux-x86_64 curl -L -O https://raw.githubusercontent.com/elastic/beats/7.12/deploy/cloudfoundry/metricbeat/metricbeat.yml curl -L -O https://raw.githubusercontent.com/elastic/beats/7.12/deploy/cloudfoundry/metricbeat/manifest.yml
You need to modify the
metricbeat.yml file to set the
Metricbeat comes packaged with various pre-built Kibana dashboards that you can use to visualize data in Kibana.
If these dashboards are not already loaded into Kibana, you must run the Metricbeat
To learn how, see Load Kibana dashboards.
To deploy Metricbeat to Cloud Foundry, run:
To check the status, run:
$ cf apps name requested state instances memory disk urls metricbeat started 1/1 512M 1G
Metric events should start flowing to Elasticsearch. The events are annotated with metadata added by the add_cloudfoundry_metadata processor.
A single instance of Metricbeat can ship more than a hundred thousand events per minute. If your Cloud Foundry deployment is producing more events than Metricbeat can collect and ship, the Firehose will start dropping events, and it will mark Metricbeat as a slow consumer. If the problems persist, Metricbeat may be disconnected from the Firehose. In such cases, you will need to scale Metricbeat to avoid losing events.
The main settings you need to take into account are:
shard_idspecified in the
cloudfoundrymodule. The Firehose will divide the events amongst all the Metricbeat instances with the same value for this setting. All instances with the same
shard_idshould have the same configuration.
Number of Metricbeat instances. When Metricbeat is deployed as a Cloud
Foundry application, it can be scaled up and down like any other application,
cf scaleor by specifying the number of instances in the manifest.
- Output configuration. In some cases, you can fine-tune the output configuration to improve the events throughput. Some outputs support multiple workers. The number of workers can be changed to take better advantage of the available resources.
Some basic recommendations to adjust these settings when Metricbeat is not able to collect all events:
If Metricbeat is hitting its CPU limits, you will need to increase the
number of Metricbeat instances deployed with the same
- If Metricbeat has some spare CPU, there may be some backpressure from the output. Try to increase the number of workers in the output. If this doesn’t help, the bottleneck may be in the network or in the service receiving the events sent by Metricbeat.
- If you need to modify the memory limit of Metricbeat, remember that CPU shares assigned to Cloud Foundry applications depend on the configured memory limit. You may need to check the other recommendations after that.