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Posted to commits@inlong.apache.org by GitBox <gi...@apache.org> on 2022/04/25 09:48:06 UTC

[GitHub] [incubator-inlong] EMsnap commented on a diff in pull request #3931: [INLONG-3930][Doc] Add more deployment and development guides in Readme

EMsnap commented on code in PR #3931:
URL: https://github.com/apache/incubator-inlong/pull/3931#discussion_r857448237


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README.md:
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@@ -61,7 +61,10 @@ Apache InLong offers a variety of features:
 ## When should I use InLong?
 InLong is based on MQ and aims to provide a one-stop, practice-tested module pluggable integration framework for massive data, based on this system, users can easily build stream-based data applications. It is suitable for environments that need to quickly build a data reporting platform, as well as an ultra-large-scale data reporting environment that InLong is very suitable for, and an environment that needs to automatically sort and land the reported data.
 
-InLong is only a one-stop data reporting pipeline platform. It cannot be used as a persistent data storage, nor does it support complex business logic processing on data streams.
+You can use InLong in the following ways:
+- Integrate InLong, manage data streams through [SDK](https://inlong.apache.org/docs/next/sdk/manager-sdk/example).
+- Use [the InLong command-line tool](https://inlong.apache.org/docs/next/user_guide/command_line_tools) to view and create data streams.
+- Visualization operations on [InLong dashboard](https://inlong.apache.org/docs/next/user_guide/dashboard_usage).

Review Comment:
   visualize your operations
   



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