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Docs: add grafana-dashboard trait doc (#1037) 

Signed-off-by: Yin Da <yd219913@alibaba-inc.com>

Signed-off-by: Yin Da <yd219913@alibaba-inc.com>
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docs/platform-engineers/operations/o11y/integration.md
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@ -90,6 +90,14 @@ kubectl get grafanadatasource -l grafana=my-grafana
For more details, you can refer to [vela-prism](https://github.com/kubevela/prism#grafana-related-apis).
## Integrate through KubeVela Config Management
It is also possible to make integrations through KubeVela's configuration management system, no matter you are using CLI or VelaUX.
### Prometheus
You can read the Configuration Management documentation for more details.
## Integrate Other Tools or Systems
There are a wide range of community tools or eco-systems that users can leverage for building their observability system, such as prometheus-operator or DataDog. By far, KubeVela does not have existing best practices for those integration. We may integrate with those popular projects through KubeVela addons in the future. We are also welcome to community contributions for broader explorations and more connections.

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docs/platform-engineers/operations/o11y/visualization.md
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docs/platform-engineers/operations/observability.md
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@ -69,12 +69,15 @@ You will see several pre-installed dashboards and use them to view your system a
![kubevela-application-dashboard](../../resources/kubevela-application-dashboard.jpg)
:::tip
:::caution
**Resource**: The observability suite includes several addons which requires some computation resources to work properly. The recommended installation resources for you cluster are 2 cores + 4 Gi memory.
**Version**: We recommend you to use KubeVela (>= v1.6.0) to use the observability addons. For version v1.5.0, logging is not supported.
:::
:::tip
**Addon Suite**: If you want to enable these addons in one command, you can use [WorkflowRun](https://github.com/kubevela/workflow) to orchestrate the install process. It allows you to manage the addon enable process as code and make it reusable across different systems.
:::
## Multi-cluster Installation