What is AWS Application Discovery Service?

AWS Application Discovery Service helps you plan your migration to the AWS cloud by collecting usage and configuration data about your on-premises servers and databases. Application Discovery Service is integrated with AWS Migration Hub and AWS Database Migration Service Fleet Advisor. Migration Hub simplifies your migration tracking as it aggregates your migration status information into a single console. You can view the discovered servers, group them into applications, and then track the migration status of each application from the Migration Hub console in your home Region. You can use DMS Fleet Advisor to assess migrations options for database workloads.

All discovered data is stored in your AWS Migration Hub home Region. Therefore, you must set your home Region in the Migration Hub console or with CLI commands before performing any discovery and migration activities. Your data can be exported for analysis in Microsoft Excel or AWS analysis tools such as Amazon Athena and Amazon QuickSight.

Using Application Discovery Service APIs, you can export the system performance and utilization data for your discovered servers. Input this data into your cost model to compute the cost of running those servers in AWS. Additionally, you can export data about the network connections that exist between servers. This information helps you determine the network dependencies between servers and group them into applications for migration planning.

Application Discovery Service offers two ways of performing discovery and collecting data about your on-premises servers:

Application Discovery Service integrates with application discovery solutions from AWS Partner Network (APN) partners. These third-party solutions can help you import details about your on-premises environment directly into Migration Hub, without using any agentless collector or discovery agent. Third-party application discovery tools can query AWS Application Discovery Service, and they can write to the Application Discovery Service database using the public API. In this way, you can import data into Migration Hub and view it, so that you can associate applications with servers and track migrations.

VMware Discovery

If you have virtual machines (VMs) that are running in the VMware vCenter environment, you can use the Agentless Collector to collect system information without having to install an agent on each VM. Instead, you load this on-premises appliance into vCenter and allow it to discover all of its hosts and VMs.

Agentless Collector captures system performance information and resource utilization for each VM running in the vCenter, regardless of what operating system is in use. However, it cannot “look inside” each of the VMs, and as such, cannot figure out what processes are running on each VM nor what network connections exist. Therefore, if you need this level of detail and want to take a closer look at some of your existing VMs in order to assist in planning your migration, you can install the Discovery Agent on an as-needed basis.

Also, for VMs hosted on VMware, you can use both the Agentless Collector and Discovery Agent to perform discovery simultaneously. For details regarding the exact types of data each discovery tool will collect, see Using the VMware vCenter Agentless Collector data collection module.

Database discovery

If you have database and analytics servers in your on-premises environment, then you can use the Agentless Collector to discover and inventory these servers. You can then collect performance metrics for each database server without the need to install Agentless Collector on each computer in your environment.

The Agentless Collector database and analytics data collection module captures metadata and performance metrics that provide insight into your data infrastructure. The database and analytics data collection module uses LDAP in Microsoft Active Directory to gather information about the OS, database, and analytics servers in your network. Then, the data collection module periodically runs queries to collect actual utilization metrics of CPU, memory, and disk capacity for the databases and analytics servers. For details regarding the collected metrics, see Data collected by the database and analytics module.

After Agentless Collector completes data collection from your environment, you can use the AWS DMS console for further analysis and for planning your migration. For example, to choose an optimal migration target in the AWS Cloud, you can generate target recommendations for your source databases. For more information, see Using the database and analytics data collection module.

Compare Agentless Collector and Discovery Agent

The following table provides a quick comparison of the Application Discovery Service data collection tools.

Assumptions

To use Application Discovery Service, the following is assumed:

Here's what to expect: