Using a9s Prometheus
This chapter describes how to interact with a9s Prometheus using the Kubernetes API.
Pre-requisite
Data Service Custom Resources
Before using the a9s Prometheus service, ensure the necessary custom resources are present in your Kubernetes cluster. Use the following commands to verify their existence:
kubectl get prometheusinstances.anynines.com
kubectl get servicebindings.anynines.com
kubectl get backups.anynines.com
kubectl get restores.anynines.comIf you encounter the following error:
error: the server doesn't have a resource type "<resource-name>"
This indicates that the corresponding resource is missing. To resolve this, you can follow the instructions here or reach out to a platform operator for assistance.
Create a Prometheus Service Instance
To provision a Prometheus Service Instance, simply create a Prometheus Kubernetes Object by applying a Service Instance Claim.
Replace the placeholder values denoted by < >
in the provided yaml file. Kindly select one of the supported values for
spec.service
and spec.plan
. The supported values for service
and plan
can be found here.
Optional: To set up a clustered Prometheus with small specifications, apply the yaml manifest provided in the
Example
tab below. Feel free to modify the fields in order to create a different type of Prometheus database tailored
to your requirements.
- Template
- Example
apiVersion: anynines.com/v1
kind: PrometheusInstance
metadata:
name: <name>
namespace: <namespace>
spec:
service: <service-name>
plan: <plan-name>
compositionRef:
name: a9s-prometheus
apiVersion: anynines.com/v1
kind: PrometheusInstance
metadata:
name: example-a9s-prometheus
namespace: default
spec:
service: a9s-prometheus
plan: prometheus-single-small
compositionRef:
name: a9s-prometheus
Applying this Kubernetes yaml manifest is as straightforward as working with any default Kubernetes resource.
kubectl apply -f <filename.yaml>
After applying the manifest, please allow some time for the remote resources to be deployed. If you've deployed the provided example, you should observe an output similar to the following:
kubectl get prometheusinstances.anynines.com
NAME SYNCED READY CONNECTION-SECRET AGE
example-a9s-prometheus True True 9m
You can also obtain additional information about the status of Prometheus Objects using the following command:
kubectl describe prometheusinstances.anynines.com
Name: example-a9s-prometheus
Namespace: default
...
Status:
Conditions:
Last Transition Time: 2023-08-07T09:57:49Z
Reason: ReconcileSuccess
Status: True
Type: Synced
Last Transition Time: 2023-08-07T10:04:11Z
Reason: Available
Status: True
Type: Ready
Managed:
Conditions:
Last Transition Time: 2023-08-07T09:57:50Z
Reason: ReconcileSuccess
Status: True
Type: Synced
Last Transition Time: 2023-08-07T10:04:00Z
Reason: Available
Status: True
Type: Ready
Created At: 2023-08-07T09:57:50.556Z
Provisioned At: 2023-08-07T10:03:40.445Z
State: provisioned
Updated At: 2023-08-07T10:03:40.500Z
No Prometheus pod is running locally in the App Cluster.
Behind the scenes the Custom Resources synced up to the a9s Data Service platform which ensures the database is provisioned and healthy. The status information reflecting the database status synced back to the App Cluster to signify service readiness.
Bind an Application to a Prometheus Database
The ServiceBinding
Custom Resource is all that you need to quickly start using the database. To target a specific
Prometheus instance, set the spec.instanceRef
field.
Optional: If you've followed the example from the previous step, where we create a Prometheus Kubernetes Object, you can now proceed to apply the yaml manifest provided in the Example tab below. This will bind the previously created Prometheus instance.
- Template
- Example
apiVersion: anynines.com/v1
kind: ServiceBinding
metadata:
name: <name>
namespace: <namespace>
spec:
instanceRef: <prometheus-instance-name>
serviceInstanceType: prometheus
compositionRef:
name: a9s-servicebinding
apiVersion: anynines.com/v1
kind: ServiceBinding
metadata:
name: example-a9s-prometheus
namespace: default
spec:
instanceRef: example-a9s-prometheus
serviceInstanceType: prometheus
compositionRef:
name: a9s-servicebinding
After a few seconds, the ServiceBinding will be ready. You can then access the credentials and network details required
for database connectivity by describing the Secret that was automatically created. The Data Service automation generates
a Secret, named {service-binding-name}-creds
, in the same namespace as the ServiceBinding.
For instance, if you have already applied the provided examples, upon the successful deployment of the ServiceBinding, you can access credentials and network details by describing the corresponding Kubernetes Secret using the following command:
kubectl get secret example-a9s-prometheus-creds -o yaml
apiVersion: v1
data:
graphite_exporter_port: <base64 encoded value>
graphite_exporters: <base64 encoded value>
password: <base64 encoded value>
prometheus_urls: <base64 encoded value>
username: <base64 encoded value>
alertmanager_urls: <base64 encoded value>
grafana_urls: <base64 encoded value>
...
Backup a Prometheus Database
The a9s platform provides an easy way to create backups and restore if needed. You can use the Kubernetes Custom
Resource Backup
from the API group anynines.com
to create backups of Data Service Instances. To do this, simply
target the specific Data Service Instance you want to back up, as shown in the following yaml manifest:
- Template
- Example
apiVersion: anynines.com/v1
kind: Backup
metadata:
name: <name>
namespace: <namespace>
spec:
instanceRef: <prometheus-instance-name>
serviceInstanceType: prometheus
compositionRef:
name: a9s-backup
apiVersion: anynines.com/v1
kind: Backup
metadata:
name: example-a9s-prometheus
namespace: default
spec:
instanceRef: example-a9s-prometheus
serviceInstanceType: prometheus
compositionRef:
name: a9s-backup
And then apply the yaml manifest:
kubectl apply -f <filename.yaml>
You can inspect the status of the backup to determine when it is complete, similar to how we did it for the Prometheus instance, using the following command:
kubectl get backup.anynines.com -o yaml
You can observe the status transition from queued
to done
as the backup process completes.
apiVersion: anynines.com/v1
kind: Backup
...
status:
...
managed:
...
status: queued
apiVersion: anynines.com/v1
kind: Backup
...
status:
...
managed:
...
size: 736
status: done
Restore a Prometheus Database Backup
To restore a backup, you must apply a Restore from the API group anynines.com
, targeting an existing Prometheus Backup.
Below is the yaml file you can utilize for this purpose:
- Template
- Example
apiVersion: anynines.com/v1
kind: Restore
metadata:
name: <name>
namespace: <namespace>
spec:
backupRef: <backup-name>
serviceInstanceType: prometheus
compositionRef:
name: a9s-restore
apiVersion: anynines.com/v1
kind: Restore
metadata:
name: example-a9s-prometheus
namespace: default
spec:
backupRef: example-a9s-prometheus
serviceInstanceType: prometheus
compositionRef:
name: a9s-restore
And then apply the yaml manifest:
kubectl apply -f <filename.yaml>
You can observe the state transition from queued
to running
and done
as the restore completes.
kubectl get restore.anynines.com -o yaml
apiVersion: v1
items:
- apiVersion: anynines.com/v1
kind: Restore
...
status:
...
managed:
...
state: queued
apiVersion: v1
items:
- apiVersion: anynines.com/v1
kind: Restore
...
status:
...
managed:
...
state: done
Delete a9s Kubernetes Custom Resources
Delete the Custom Resources using the kubectl delete
command. Replace <resource-type>
with the actual resource type
and <resource-name>
with the name of the Custom Resource you want to delete.
kubectl delete <resource-type> <resource-name>
Alternatively, you can use the following command to delete Custom Resources by specifying the filename of the yaml manifest:
kubectl delete -f <filename.yaml>
Coming soon
a9s Prometheus offers a range of features that will soon be supported for a9s Prometheus through Kubernetes integration. See the following table for a summary of these upcoming features.
Feature | Description |
---|---|
Prometheus Metrics for Services and Applications | Enhance metrics collection to include not only supported service instances but also data from applications. |
Dashboards | Publicly accessible dashboards for Prometheus, Grafana, and Alertmanager. |
Service Configuration | Customize a9s Prometheus by fine-tuning configuration properties present in the version-specific Prometheus configuration file. |