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This article shows you the principle of Application Discovery and the example analysis of automatic discovery tools, the content is concise and easy to understand, it will definitely brighten your eyes. I hope you can get something through the detailed introduction of this article.

Application Discovery is the process of collecting and understanding the computer room environment in which your business is located, and determining which physical and virtual servers exist and the number of operating system information, network information, and applications running on these servers.

The collection process of Application Discovery can be done manually, but when the number of servers involved in your business is large and complex, it will lead to inefficiency, long cycle, and error prone. Therefore, it is recommended to use auto-discovery tools, which can automatically discover all applications and supporting infrastructure by installing Agent (third-party or self-developed) on the server, and plan how to keep the data up-to-date by running the auto-discovery tool continuously.

So what kind of information does the server generally support? You can take a look at the last screenshot, such as network information such as IP, MAC, system information such as operating system version, and hardware information such as CPU and memory. The automatic discovery tool is mainly used to accurately control the basic information of organizational assets and to find and update in time when business information changes. For example, the records collected by the automatic discovery tool can be compared with the basic information of your organization's CMDB system, take appropriate policies when changes or inconsistencies are detected, and finally ensure that the business information you have is accurate, and so on.

There are many third-party automatic discovery tools, interested students can search on their own, of course, organizations with R & D capabilities can also develop their own tools.

AWS also has a similar service, Application Discovery Service (ADS), which is mainly used for cloud migration. We will not discuss the specific features of this service here, but only refer to the information that ADS can automatically discover to provide us with some ideas.

The ADS application discovery tool can:

Automatically discover the inventory of infrastructure and applications running in the data center and maintain the inventory by continuously monitoring the system.

Helps determine how applications depend on each other or on the underlying infrastructure.

Versions of operating systems and services used for analysis and planning.

Measure the applications and processes running on the host to determine performance baselines and optimization opportunities.

Provides a way to classify applications and servers

Auto-discovery tools can save time and effort when making CMDB updates.

As the project progresses, it is critical to keep resource information up-to-date, and tools help alleviate this pain.

The following is an excerpt from the official Application Discovery Service document. Refer to what information ADS can support collection and discovery:

AWS Application Discovery Agent

AWS Discovery Agent is the AWS software installed on the local server and VM to perform discovery and migration. The agent captures the details of system configuration, system performance, running processes, and network connections between systems. Agents support most Linux and Windows operating systems, which you can deploy on physical local servers, Amazon EC2 instances, and virtual machines.

The above is a sample analysis of Application Discovery principles and automatic discovery tools. Have you learned any knowledge or skills? If you want to learn more skills or enrich your knowledge reserve, you are welcome to follow the industry information channel.

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