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Merge pull request #7848 from bermudezmt/ucp-cluster-metrics 

Ucp cluster metrics
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Anne Henmi 2018-12-26 09:38:46 -07:00 committed by GitHub
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ee/ucp/admin/configure/collect-cluster-metrics.md
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@ -27,7 +27,7 @@ These are high-level aggregate metrics that typically combine technical, financi
- Company or division-level application downtime - Company or division-level application downtime
- Aggregate resource utilization - Aggregate resource utilization
- Application resource demand growth - Application resource demand growth
 
## Application metrics ## ## Application metrics ##
These are metrics about domain of APM tools like AppDynamics or DynaTrace and provide metrics about the state or performance of the application itself. These are metrics about domain of APM tools like AppDynamics or DynaTrace and provide metrics about the state or performance of the application itself.
@ -35,7 +35,9 @@ These are metrics about domain of APM tools like AppDynamics or DynaTrace and pr
- Container platform metrics - Container platform metrics
- Host infrastructure metrics - Host infrastructure metrics
Docker EE 2.1 does not collect or expose application level metrics. The following are metrics Docker EE 2.1 collects, aggregates, and exposes: Docker EE 2.1 does not collect or expose application level metrics.
The following are metrics Docker EE 2.1 collects, aggregates, and exposes:
## Service state metrics ## ## Service state metrics ##
@ -44,7 +46,6 @@ These are metrics about the state of services running on the container platform.
- Convergence of K8s deployments and Swarm services - Convergence of K8s deployments and Swarm services
- Cluster load by number of services or containers or pods - Cluster load by number of services or containers or pods
## Host infrastructure metrics ## ## Host infrastructure metrics ##
These are metrics taken from te software & hardware infrastructure. These are metrics taken from te software & hardware infrastructure.
@ -54,7 +55,6 @@ These are metrics taken from te software & hardware infrastructure.
- Storage I/O - disk I/O, IOPs, capacity - Storage I/O - disk I/O, IOPs, capacity
- Operating System – file descriptors, open network connections, number of processes/threads - Operating System – file descriptors, open network connections, number of processes/threads
## Container infrastructure system metrics ## ## Container infrastructure system metrics ##
These are application-level metrics derived from the container platform itself. These are application-level metrics derived from the container platform itself.
@ -85,7 +85,11 @@ To deploy Prometheus on worker nodes in a cluster:
node "test-3a724a-1" labeled node "test-3a724a-1" labeled
``` ```
4. Patch the ucp-metrics DaemonSet's nodeSelector using the same key and value used for the node label. This example shows the key “ucp-metrics” and the value “”. > **SELinux Prometheus Deployment for UCP 3.1.0, 3.1.1, and 3.1.2**
>
> If you are using SELinux, you must label your `ucp-node-certs` directories properly on your worker nodes before you move the ucp-metrics workload to them. To run ucp-metrics on a worker node, update the `ucp-node-certs` label by running `sudo chcon -R system_u:object_r:container_file_t:s0 /var/lib/docker/volumes/ucp-node-certs/_data`.
4. Patch the ucp-metrics DaemonSet's nodeSelector using the same key and value used for the node label. This example shows the key "ucp-metrics" and the value "".
``` ```
$ kubectl -n kube-system patch daemonset ucp-metrics --type json -p '[{"op": "replace", "path": "/spec/template/spec/nodeSelector", "value": {"ucp-metrics": ""}}]' $ kubectl -n kube-system patch daemonset ucp-metrics --type json -p '[{"op": "replace", "path": "/spec/template/spec/nodeSelector", "value": {"ucp-metrics": ""}}]'