How to view logs in Grafana®

To view visualized log data in Grafana, connect Grafana to Logging and query the data using LogQL. Logging supports LogQL with some restrictions.

Prerequisites

Install and configure Nebius AI Cloud CLI.
If you don’t have a service account for observability services, create one.
Make sure that the service account is in a group that has at least the viewer role within your tenant; for example, the default viewers group. You can check this in the Administration → IAM section of the web console. If the service account is not in the required group, click → Add to group, and select viewers.
Issue a static key for the service account using the following command:
```
nebius iam static-key issue \
  --name <name_for_the_key> \
  --account-service-account-id <service_account_ID> \
  --service=OBSERVABILITY
```
Copy the value of the static key from the token parameter of the response. You will need it on later steps.

How to connect Grafana

Use one of these ways:

Install Nebius application
Connect a data source in Grafana

Install the Grafana solution by Nebius, an application for Managed Service for Kubernetes®. The application is configured to view logs.

Make sure that you have Grafana available, in any of these ways:
- Install Grafana on your local machine.
- Create an account in Grafana Cloud.
Open Grafana in your browser.
In the side menu, select Connections → Data sources.
In the top right corner, click Add new data source.
Select Loki.
In the Loki configuration, enter the following settings:
- Connection → URL: https://read.logging.api.nebius.cloud/projects/<project_ID>. In the URL, specify your Project ID.
- Authentication → HTTP headers: click Add header and enter Authorization and the value of the static key that you got earlier.
Click Save and test. If Loki is connected successfully, you should see the “Data source successfully connected” message.

How to explore and manage logs

Explore the logs: construct LogQL queries using Builder or create dashboards to visualize metrics. Currently, the only supported stream selector label is __bucket__. It can have the following values:

sp_serial for serial logs of Compute virtual machines
sp_mlflow for Managed Service for MLflow logs
sp_postgres for Managed Service for PostgreSQL® logs
sp_cloudapps for Nebius Applications logs
default for your own logs

Basic log search

Find deadlocks in a Managed Service for PostgreSQL cluster:

{__bucket__="sp_postgres"} |= `deadlock detected`

Filter by log level

{__bucket__="default"} | level="error"

Exclude noisy entries

{__bucket__="sp_postgres"} |= `ERROR` != `vacuum` != `healthcheck`

For the full query syntax, see the LogQL query language reference.

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Observability in Nebius AI Cloud

​Prerequisites

​How to connect Grafana

​How to explore and manage logs

​Basic log search

​Filter by log level