fix dead links

Author: nicecui

blog/release-0-7-2.md

@@ -6,7 +6,7 @@ date: 2024-04-08
 
 Release date: April 08, 2024
 
-This is a patch release, containing a critial bug fix to avoid wrongly delete data files ([#3635](https://github.com/GreptimeTeam/greptimedb/pull/3635)).
+This is a patch release, containing a critical bug fix to avoid wrongly delete data files ([#3635](https://github.com/GreptimeTeam/greptimedb/pull/3635)).
 
 **It's highly recommended to upgrade to this version if you're using v0.7.**
 

docs/user-guide/ingest-data/for-observerbility/kafka.md

@@ -76,7 +76,7 @@ A pipeline processes the logs into structured data before ingestion into Greptim
 ### Logs with JSON format
 
 For logs in JSON format (e.g., `{"timestamp": "2024-12-23T10:00:00Z", "level": "INFO", "message": "Service started"}`),
-you can use the built-in [`greptime_identity`](/logs/manage-pipelines.md#greptime_identity) pipeline for direct ingestion.
+you can use the built-in [`greptime_identity`](/user-guide/logs/manage-pipelines.md#greptime_identity) pipeline for direct ingestion.
 This pipeline creates columns automatically based on the fields in your JSON log message.
 
 Simply configure Vector's `transforms` settings to parse the JSON message and use the `greptime_identity` pipeline as shown in the following example:

i18n/zh/docusaurus-plugin-content-docs/current/user-guide/ingest-data/for-observerbility/kafka.md

@@ -75,7 +75,7 @@ Pipeline 在写入到 GreptimeDB 之前将日志处理为结构化数据。
 ### JSON 格式的日志
 
 对于 JSON 格式的日志（例如 `{"timestamp": "2024-12-23T10:00:00Z", "level": "INFO", "message": "Service started"}`），
-你可以使用内置的 [`greptime_identity`](/logs/manage-pipelines.md#greptime_identity) pipeline 直接写入日志。
+你可以使用内置的 [`greptime_identity`](/user-guide/logs/manage-pipelines.md#greptime_identity) pipeline 直接写入日志。
 此 pipeline 根据 JSON 日志消息中的字段自动创建列。
 
 你只需要配置 Vector 的 `transforms` 设置以解析 JSON 消息，并使用 `greptime_identity` pipeline，如以下示例所示：