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# Linking Confluent Cloud as a source - Docs

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# Linking Confluent Cloud as a source - Docs

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Let AI connect your sources for you

Skip the manual setup — run this in your project and the wizard auto-detects your databases and APIs and connects them to PostHog.

`npx @posthog/wizard warehouse`

[Learn more](/wizard.md)

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**Alpha release**

This source is currently in **alpha**. The interface and available tables may change.

The Confluent Cloud connector syncs operational metrics from the [Confluent Cloud Metrics API](https://api.telemetry.confluent.cloud/docs) into the PostHog Data warehouse: Kafka throughput, consumer lag, connector activity, ksqlDB, Schema Registry, and Flink compute pool utilization. Confluent only retains this data for about 7 days, so warehousing it lets you do capacity planning and cost analysis over longer time ranges.

## Prerequisites

You need a Confluent Cloud **service account** with the **MetricsViewer** role and a **Cloud API key** owned by it. Cluster-scoped API keys don't work with the Metrics API, so make sure you create a Cloud (resource management) key.

1.  In the [Confluent Cloud console](https://confluent.cloud), go to **Administration → Accounts & access** and create a service account.
2.  Grant it the **MetricsViewer** role for the resources you want to collect metrics for.
3.  Go to **Administration → API keys** and create a **Cloud API key** owned by that service account. Note the key and secret.

## Adding a data source

1.  In PostHog, go to the [Sources tab](https://app.posthog.com/data-management/sources) of the data pipeline section.
2.  Click **\+ New source** and click **Link** next to this source.
3.  Enter your credentials (see [Configuration](#configuration) below) and click **Next**.
4.  Select the tables you want to sync, choose a sync method and frequency, then click **Import**.

Once the syncs are complete, you can start querying this data in PostHog.

When linking Confluent Cloud, you'll need:

-   **Cloud API key** and **Cloud API secret** – from the steps above.
-   **Resource IDs** – the IDs of the resources to collect metrics for, as comma-separated lists. For example, Kafka cluster IDs (`lkc-...`) are shown under **Cluster settings**, connector IDs (`lcc-...`) under the connector's settings. Leave a resource type blank to skip it.

## Sync modes

The metrics tables sync incrementally on the `timestamp` column: each sync only queries the time window since the last one, plus a small overlap to pick up late-arriving data. Because the Metrics API retains roughly 7 days of data, keep a frequent sync schedule so no window is missed.

Each table can be synced in one of several modes, depending on what the source supports:

-   **Webhook** (when available) – the source pushes changes to PostHog in real time. Fastest freshness, lowest ongoing cost, and the only mode that reliably captures updates and deletes.
-   **Incremental** – only new or updated rows are synced on each run, using a cursor field (such as an `updated_at` timestamp). Cheaper than a full refresh, but deletes aren't captured.
-   **Append only** – new rows are appended using a cursor field; existing rows are never updated. Ideal for immutable, append-only tables like event logs.
-   **Full refresh** – the whole table is reloaded on every sync. Use it when a table has no reliable cursor or when you need deletions reflected.

See [sync methods](/docs/cdp/sources.md#sync-methods) for a full explanation of how each mode works and how to choose between them.

## Configuration

| Option | Type | Required |
| --- | --- | --- |
| Cloud API key | text | Yes |
| Cloud API secret | password | Yes |
| Kafka cluster IDs | text | No |
| Connector IDs | text | No |
| ksqlDB cluster IDs | text | No |
| Schema Registry cluster IDs | text | No |
| Flink compute pool IDs | text | No |

## Supported tables

The metrics tables contain one row per metric, resource, and UTC hour, with the metric's aggregated value. Values are aggregated per resource, so per-topic or per-consumer-group detail isn't included. The `metric_descriptors` table documents every metric name, its unit, and its data type.

| Table | Description | Sync method | Incremental field | Primary key |
| --- | --- | --- | --- | --- |
| metric_descriptors | Metadata catalog for every metric available in the Metrics API 'cloud' dataset, including its data type, unit, and lifecycle stage. | Full refresh | — | — |
| resource_descriptors | Metadata catalog for the resource types that metrics can be scoped to, such as Kafka clusters, connectors, and Flink compute pools. | Full refresh | — | — |
| kafka_metrics | Hourly time-series values for every kafka metric in the Metrics API catalog, aggregated per resource. The API retains about 7 days of data, so the first sync backfills that window and regular syncs keep history beyond it. | Incremental, Full refresh | timestamp | — |
| connector_metrics | Hourly time-series values for every connector metric in the Metrics API catalog, aggregated per resource. The API retains about 7 days of data, so the first sync backfills that window and regular syncs keep history beyond it. | Incremental, Full refresh | timestamp | — |
| ksqldb_metrics | Hourly time-series values for every ksql metric in the Metrics API catalog, aggregated per resource. The API retains about 7 days of data, so the first sync backfills that window and regular syncs keep history beyond it. | Incremental, Full refresh | timestamp | — |
| schema_registry_metrics | Hourly time-series values for every schema_registry metric in the Metrics API catalog, aggregated per resource. The API retains about 7 days of data, so the first sync backfills that window and regular syncs keep history beyond it. | Incremental, Full refresh | timestamp | — |
| compute_pool_metrics | Hourly time-series values for every compute_pool metric in the Metrics API catalog, aggregated per resource. The API retains about 7 days of data, so the first sync backfills that window and regular syncs keep history beyond it. | Incremental, Full refresh | timestamp | — |

## Troubleshooting

-   If you see an authentication error, the API key or secret is invalid or has been revoked. Create a new Cloud API key and reconnect.
-   If you see a permissions error, the key authenticated but isn't authorized for the configured resources. Make sure it's a Cloud API key (not a cluster-scoped key) owned by a service account with the MetricsViewer role for those resources.
-   If a metrics table syncs no rows, check that the matching resource IDs are filled in on the source settings and that the resources produced data in the last 7 days.

If your sync is failing or data looks wrong, see the [Data warehouse troubleshooting guide](/docs/data-warehouse/troubleshooting.md). If that doesn't help, [contact support](https://us.posthog.com/#panel=support%3Asupport%3Adata_warehouse%3A%3Atrue) – we're happy to help.

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