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Create prometheus-grafana-integration-premium#22603
huoyao1125 wants to merge 1 commit intopingcap:release-8.5from
huoyao1125:patch-38

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Summary of Changes

Hello, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces new documentation that guides users through the process of integrating TiDB Cloud with Prometheus and Grafana for monitoring. It clarifies different integration approaches, provides detailed setup instructions, and lists all available metrics, ensuring users can effectively set up external monitoring for their TiDB Cloud clusters.

Highlights

  • New Documentation for Prometheus and Grafana Integration: Added a comprehensive guide on how to integrate TiDB Cloud with Prometheus for metric collection and Grafana for visualization.
  • Prometheus Integration Versions Clarified: The document distinguishes between cluster-level and legacy project-level Prometheus integrations, providing separate instructions and a deprecation notice for the legacy version.
  • Detailed Integration Steps: Outlined step-by-step instructions for obtaining scrape_config files, configuring Prometheus, and importing Grafana dashboards.
  • Metric Rotation Best Practices: Included a section on the best practice for rotating scrape_config bearer tokens to enhance data security.
  • Comprehensive Metrics List: Provided a detailed table of all available metrics that Prometheus can track for TiDB clusters, including additional metrics specific to cluster-level integration.

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@ti-chi-bot ti-chi-bot bot added missing-translation-status This PR does not have translation status info. size/L Denotes a PR that changes 100-499 lines, ignoring generated files. labels Mar 20, 2026
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Code Review

The pull request introduces a new documentation page detailing the integration of TiDB Cloud with Prometheus and Grafana for monitoring, including steps for configuration, dashboard usage, and metric rotation best practices. Review comments suggest several improvements for consistency with the style guide, including using sentence case for headings, enclosing technical terms and file paths in backticks, improving sentence conciseness and readability, and rephrasing passive voice to active voice for clarity.


## Steps

### Step 1. Get a scrape_config file for Prometheus
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medium

Headings should use sentence case for consistency with the style guide. The current heading is not in sentence case.

### Step 1. Get a `scrape_config` file for Prometheus

| tidbcloud_changefeed_latency | gauge | changefeed_id | The data replication latency between the upstream and the downstream of a changefeed |
| tidbcloud_changefeed_checkpoint_ts | gauge | changefeed_id | The checkpoint timestamp of a changefeed, representing the largest TSO (Timestamp Oracle) successfully written to the downstream |
| tidbcloud_changefeed_replica_rows | gauge | changefeed_id | The number of replicated rows that a changefeed writes to the downstream per second |
| tidbcloud_node_storage_used_bytes | gauge | cluster_name: `<cluster name>`<br/>instance: `tikv-0\|tikv-1…\|tiflash-0\|tiflash-1…`<br/>component: `tikv\|tiflash` | The disk usage, in bytes, for TiKV or TiFlash nodes. This metric primarily represents the logical data size in the storage engine, and excludes WAL files and temporary files. To calculate the actual disk usage rate, use `(capacity - available) / capacity` instead. When the storage usage of TiKV exceeds 80%, latency spikes might occur, and higher usage might cause requests to fail. When the storage usage of all TiFlash nodes reaches 80%, any DDL statement that adds a TiFlash replica hangs indefinitely. |
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medium

This description is quite long and contains multiple pieces of information. Consider breaking it down into shorter sentences or bullet points for improved readability, especially for a technical document.

The disk usage, in bytes, for TiKV or TiFlash nodes. This metric primarily represents the logical data size in the storage engine, and excludes WAL files and temporary files. To calculate the actual disk usage rate, use `(capacity - available) / capacity` instead.
- When TiKV storage usage exceeds 80%, latency spikes might occur, and higher usage might cause requests to fail.
- When all TiFlash nodes reach 80% storage usage, any DDL statement that adds a TiFlash replica hangs indefinitely.


For more information about how to use Grafana, see [Grafana documentation](https://grafana.com/docs/grafana/latest/getting-started/getting-started-prometheus/).

## Best practice of rotating scrape_config
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medium

Headings should use sentence case for consistency with the style guide. Also, technical terms like scrape_config should be enclosed in backticks.

## Best practice for rotating `scrape_config`


3. In your Prometheus service, check **Status** > **Targets** to confirm that the new `scrape_config` file has been read. If not, you might need to restart the Prometheus service.

### Step 3. Use Grafana GUI dashboards to visualize the metrics
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medium

Headings should use sentence case for consistency with the style guide. The current heading is not in sentence case.

### Step 3. Use Grafana GUI dashboards to visualize metrics

</SimpleTab>

> **Note:**
>
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low

To improve conciseness and directness, rephrase this instruction to use a more active and imperative tone.

Copy the content before closing the file window.


To improve data security, it is a general best practice to periodically rotate `scrape_config` file bearer tokens.

1. Follow [Step 1](#step-1-get-a-scrape_config-file-for-prometheus) to create a new `scrape_config` file for Prometheus.
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To improve conciseness and directness, rephrase this instruction to use a more active and imperative tone.

1. Create a new `scrape_config` file for Prometheus by following [Step 1](#step-1-get-a-scrape_config-file-for-prometheus).


1. Follow [Step 1](#step-1-get-a-scrape_config-file-for-prometheus) to create a new `scrape_config` file for Prometheus.
2. Add the content of the new file to your Prometheus configuration file.
3. Once you have confirmed that your Prometheus service is still able to read from TiDB Cloud, remove the content of the old `scrape_config` file from your Prometheus configuration file.
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The sentence uses passive voice and can be more concise. Rephrasing it to active voice improves clarity and directness, as recommended by the style guide.

3. Once you confirm that your Prometheus service can read from TiDB Cloud, remove the content of the old `scrape_config` file from your Prometheus configuration file.

Comment on lines +112 to +133
| tidbcloud_db_queries_total| count | sql_type: `Select\|Insert\|...`<br/>cluster_name: `<cluster name>`<br/>instance: `tidb-0\|tidb-1…`<br/>component: `tidb` | The total number of statements executed |
| tidbcloud_db_failed_queries_total | count | type: `planner:xxx\|executor:2345\|...`<br/>cluster_name: `<cluster name>`<br/>instance: `tidb-0\|tidb-1…`<br/>component: `tidb` | The total number of execution errors |
| tidbcloud_db_connections | gauge | cluster_name: `<cluster name>`<br/>instance: `tidb-0\|tidb-1…`<br/>component: `tidb` | Current number of connections in your TiDB server |
| tidbcloud_db_query_duration_seconds | histogram | sql_type: `Select\|Insert\|...`<br/>cluster_name: `<cluster name>`<br/>instance: `tidb-0\|tidb-1…`<br/>component: `tidb` | The duration histogram of statements |
| tidbcloud_changefeed_latency | gauge | changefeed_id | The data replication latency between the upstream and the downstream of a changefeed |
| tidbcloud_changefeed_checkpoint_ts | gauge | changefeed_id | The checkpoint timestamp of a changefeed, representing the largest TSO (Timestamp Oracle) successfully written to the downstream |
| tidbcloud_changefeed_replica_rows | gauge | changefeed_id | The number of replicated rows that a changefeed writes to the downstream per second |
| tidbcloud_node_storage_used_bytes | gauge | cluster_name: `<cluster name>`<br/>instance: `tikv-0\|tikv-1…\|tiflash-0\|tiflash-1…`<br/>component: `tikv\|tiflash` | The disk usage, in bytes, for TiKV or TiFlash nodes. This metric primarily represents the logical data size in the storage engine, and excludes WAL files and temporary files. To calculate the actual disk usage rate, use `(capacity - available) / capacity` instead. When the storage usage of TiKV exceeds 80%, latency spikes might occur, and higher usage might cause requests to fail. When the storage usage of all TiFlash nodes reaches 80%, any DDL statement that adds a TiFlash replica hangs indefinitely. |
| tidbcloud_node_storage_capacity_bytes | gauge | cluster_name: `<cluster name>`<br/>instance: `tikv-0\|tikv-1…\|tiflash-0\|tiflash-1…`<br/>component: `tikv\|tiflash` | The disk capacity bytes of TiKV/TiFlash nodes |
| tidbcloud_node_cpu_seconds_total | count | cluster_name: `<cluster name>`<br/>instance: `tidb-0\|tidb-1…\|tikv-0…\|tiflash-0…`<br/>component: `tidb\|tikv\|tiflash` | The CPU usage of TiDB/TiKV/TiFlash nodes |
| tidbcloud_node_cpu_capacity_cores | gauge | cluster_name: `<cluster name>`<br/>instance: `tidb-0\|tidb-1…\|tikv-0…\|tiflash-0…`<br/>component: `tidb\|tikv\|tiflash` | The CPU limit cores of TiDB/TiKV/TiFlash nodes |
| tidbcloud_node_memory_used_bytes | gauge | cluster_name: `<cluster name>`<br/>instance: `tidb-0\|tidb-1…\|tikv-0…\|tiflash-0…`<br/>component: `tidb\|tikv\|tiflash` | The used memory bytes of TiDB/TiKV/TiFlash nodes |
| tidbcloud_node_memory_capacity_bytes | gauge | cluster_name: `<cluster name>`<br/>instance: `tidb-0\|tidb-1…\|tikv-0…\|tiflash-0…`<br/>component: `tidb\|tikv\|tiflash` | The memory capacity bytes of TiDB/TiKV/TiFlash nodes |
| tidbcloud_node_storage_available_bytes | gauge | instance: `tidb-0\|tidb-1\|...`<br/>component: `tikv\|tiflash`<br/>cluster_name: `<cluster name>` | The available disk space in bytes for TiKV/TiFlash nodes |
| tidbcloud_disk_read_latency | histogram | instance: `tidb-0\|tidb-1\|...`<br/>component: `tikv\|tiflash`<br/>cluster_name: `<cluster name>`<br/>`device`: `nvme.*\|dm.*` | The read latency in seconds per storage device |
| tidbcloud_disk_write_latency | histogram | instance: `tidb-0\|tidb-1\|...`<br/>component: `tikv\|tiflash`<br/>cluster_name: `<cluster name>`<br/>`device`: `nvme.*\|dm.*` | The write latency in seconds per storage device |
| tidbcloud_kv_request_duration | histogram | instance: `tidb-0\|tidb-1\|...`<br/>component: `tikv`<br/>cluster_name: `<cluster name>`<br/>`type`: `BatchGet\|Commit\|Prewrite\|...` | The duration in seconds of TiKV requests by type |
| tidbcloud_component_uptime | histogram | instance: `tidb-0\|tidb-1\|...`<br/>component: `tidb\|tikv\|tiflash`<br/>cluster_name: `<cluster name>` | The uptime in seconds of TiDB components |
| tidbcloud_ticdc_owner_resolved_ts_lag | gauge | changefeed_id: `<changefeed-id>`<br/>cluster_name: `<cluster name>` | The resolved timestamp lag in seconds for changefeed owner |
| tidbcloud_changefeed_status | gauge | changefeed_id: `<changefeed-id>`<br/>cluster_name: `<cluster name>` | Changefeed status:<br/>`-1`: Unknown<br/>`0`: Normal<br/>`1`: Warning<br/>`2`: Failed<br/>`3`: Stopped<br/>`4`: Finished<br/>`6`: Warning<br/>`7`: Other |
| tidbcloud_resource_manager_resource_unit_read_request_unit | gauge | cluster_name: `<cluster name>`<br/>resource_group: `<group-name>` | The read request units consumed by Resource Manager |
| tidbcloud_resource_manager_resource_unit_write_request_unit | gauge | cluster_name: `<cluster name>`<br/>resource_group: `<group-name>` | The write request units consumed by Resource Manager |
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There is an inconsistency in the use of ellipsis characters. Some entries use ... while others use . Please standardize to ... for consistency throughout the document, as per the style guide.

| tidbcloud_db_queries_total| count | sql_type: `Select\|Insert\|...`<br/>cluster_name: `<cluster name>`<br/>instance: `tidb-0\|tidb-1...`<br/>component: `tidb` | The total number of statements executed |
| tidbcloud_db_failed_queries_total | count | type: `planner:xxx\|executor:2345\|...`<br/>cluster_name: `<cluster name>`<br/>instance: `tidb-0\|tidb-1...`<br/>component: `tidb` | The total number of execution errors |
| tidbcloud_db_connections | gauge | cluster_name: `<cluster name>`<br/>instance: `tidb-0\|tidb-1...`<br/>component: `tidb` | Current number of connections in your TiDB server |
| tidbcloud_db_query_duration_seconds | histogram | sql_type: `Select\|Insert\|...`<br/>cluster_name: `<cluster name>`<br/>instance: `tidb-0\|tidb-1...`<br/>component: `tidb` | The duration histogram of statements |
| tidbcloud_changefeed_latency | gauge | changefeed_id | The data replication latency between the upstream and the downstream of a changefeed |
| tidbcloud_changefeed_checkpoint_ts | gauge | changefeed_id | The checkpoint timestamp of a changefeed, representing the largest TSO (Timestamp Oracle) successfully written to the downstream |
| tidbcloud_changefeed_replica_rows | gauge | changefeed_id | The number of replicated rows that a changefeed writes to the downstream per second |
| tidbcloud_node_storage_used_bytes | gauge | cluster_name: `<cluster name>`<br/>instance: `tikv-0\|tikv-1...\|tiflash-0\|tiflash-1...`<br/>component: `tikv\|tiflash` | The disk usage, in bytes, for TiKV or TiFlash nodes. This metric primarily represents the logical data size in the storage engine, and excludes WAL files and temporary files. To calculate the actual disk usage rate, use `(capacity - available) / capacity` instead. When the storage usage of TiKV exceeds 80%, latency spikes might occur, and higher usage might cause requests to fail. When the storage usage of all TiFlash nodes reaches 80%, any DDL statement that adds a TiFlash replica hangs indefinitely. |
| tidbcloud_node_storage_capacity_bytes | gauge | cluster_name: `<cluster name>`<br/>instance: `tikv-0\|tikv-1...\|tiflash-0\|tiflash-1...`<br/>component: `tikv\|tiflash` | The disk capacity bytes of TiKV/TiFlash nodes |
| tidbcloud_node_cpu_seconds_total | count | cluster_name: `<cluster name>`<br/>instance: `tidb-0\|tidb-1...\|tikv-0...\|tiflash-0...`<br/>component: `tidb\|tikv\|tiflash` | The CPU usage of TiDB/TiKV/TiFlash nodes |
| tidbcloud_node_cpu_capacity_cores | gauge | cluster_name: `<cluster name>`<br/>instance: `tidb-0\|tidb-1...\|tikv-0...\|tiflash-0...`<br/>component: `tidb\|tikv\|tiflash` | The CPU limit cores of TiDB/TiKV/TiFlash nodes |
| tidbcloud_node_memory_used_bytes | gauge | cluster_name: `<cluster name>`<br/>instance: `tidb-0\|tidb-1...\|tikv-0...\|tiflash-0...`<br/>component: `tidb\|tikv\|tiflash` | The used memory bytes of TiDB/TiKV/TiFlash nodes |
| tidbcloud_node_memory_capacity_bytes | gauge | cluster_name: `<cluster name>`<br/>instance: `tidb-0\|tidb-1...\|tikv-0...\|tiflash-0...`<br/>component: `tidb\|tikv\|tiflash` | The memory capacity bytes of TiDB/TiKV/TiFlash nodes |
| tidbcloud_node_storage_available_bytes | gauge | instance: `tidb-0\|tidb-1\|...`<br/>component: `tikv\|tiflash`<br/>cluster_name: `<cluster name>` | The available disk space in bytes for TiKV/TiFlash nodes |
| tidbcloud_disk_read_latency | histogram | instance: `tidb-0\|tidb-1\|...`<br/>component: `tikv\|tiflash`<br/>cluster_name: `<cluster name>`<br/>`device`: `nvme.*\|dm.*` | The read latency in seconds per storage device |
| tidbcloud_disk_write_latency | histogram | instance: `tidb-0\|tidb-1\|...`<br/>component: `tikv\|tiflash`<br/>cluster_name: `<cluster name>`<br/>`device`: `nvme.*\|dm.*` | The write latency in seconds per storage device |
| tidbcloud_kv_request_duration | histogram | instance: `tidb-0\|tidb-1\|...`<br/>component: `tikv`<br/>cluster_name: `<cluster name>`<br/>`type`: `BatchGet\|Commit\|Prewrite\|...` | The duration in seconds of TiKV requests by type |
| tidbcloud_component_uptime | histogram | instance: `tidb-0\|tidb-1\|...`<br/>component: `tidb\|tikv\|tiflash`<br/>cluster_name: `<cluster name>` | The uptime in seconds of TiDB components |
| tidbcloud_ticdc_owner_resolved_ts_lag | gauge | changefeed_id: `<changefeed-id>`<br/>cluster_name: `<cluster name>` | The resolved timestamp lag in seconds for changefeed owner |
| tidbcloud_changefeed_status | gauge | changefeed_id: `<changefeed-id>`<br/>cluster_name: `<cluster name>` | Changefeed status:<br/>`-1`: Unknown<br/>`0`: Normal<br/>`1`: Warning<br/>`2`: Failed<br/>`3`: Stopped<br/>`4`: Finished<br/>`6`: Warning<br/>`7`: Other |
| tidbcloud_resource_manager_resource_unit_read_request_unit | gauge | cluster_name: `<cluster name>`<br/>resource_group: `<group-name>` | The read request units consumed by Resource Manager |
| tidbcloud_resource_manager_resource_unit_write_request_unit | gauge | cluster_name: `<cluster name>`<br/>resource_group: `<group-name>` | The write request units consumed by Resource Manager |


### Step 1. Get a scrape_config file for Prometheus

Before configuring your Prometheus service to read metrics of TiDB Cloud, you need to generate a `scrape_config` YAML file in TiDB Cloud first. The `scrape_config` file contains a unique bearer token that allows the Prometheus service to monitor your target clusters.
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Technical terms like 'bearer token' should be enclosed in backticks for consistent formatting, as per the style guide.

The `scrape_config` file contains a unique `bearer token` that allows the Prometheus service to monitor your target clusters.


- Why does the same metric have different values on Grafana and the TiDB Cloud console at the same time?

The aggregation calculation logic is different between Grafana and TiDB Cloud, so the displayed aggregated values might differ. You can adjust the `mini step` configuration in Grafana to get more fine-grained metric values.
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The sentence uses passive voice. Rephrasing it to active voice improves clarity and directness, as recommended by the style guide.

Grafana and TiDB Cloud use different aggregation calculation logic, so the displayed aggregated values might differ. You can adjust the `mini step` configuration in Grafana to get more fine-grained metric values.

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