songzhendong commented on code in PR #379:
URL: 
https://github.com/apache/skywalking-booster-ui/pull/379#discussion_r1551827296


##########
src/locales/lang/menus/en.ts:
##########
@@ -30,6 +30,8 @@ const titles = {
   general_service_virtual_mq: "Virtual MQ",
   general_service_virtual_mq_desc:
     "Observe the virtual message queue servers which are conjectured by 
language agents through various plugins.",
+  general_service_airflow: "Airflow",
+  general_service_airflow_desc: "Observe metrics such as task DAGs through 
telemetry data collected from Apache Airflow.",

Review Comment:
   Yes,I agree, I understand that in Apache Airflow,the DAG (Directed Acyclic 
Graph) is a core concept used to represent the overall structure and execution 
order of the job workflow. A DAG defines a set of tasks and the dependencies 
between those tasks, ensuring that tasks are executed in a specific order and 
under certain conditions.
   Below is the simplest example of a DAG.
   
![image](https://github.com/apache/skywalking-booster-ui/assets/2069772/a2246683-c7b3-41c0-b08e-d1a3937cb392)
   I am writing a technical blog about Skywalking Airflow Monitor where I will 
provide a detailed introduction to the Airflow metrics. It will be completed 
soon.
   



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