Explain the features of AWS Application Discovery Service

In this recipe, we will learn about AWS Application Discovery Service. We will also learn about the features of AWS Application Discovery Service.

Recipe Objective - Explain the features of AWS Application Discovery Service?

The AWS Application Discovery Service is widely used and is defined as a service that gathers information about on-premises data centres to assist enterprise clients in planning migration projects. Thousands of workloads, many of which are highly interrelated, can be involved in data centre migration planning. Data on server use and dependency mapping are crucial early on in the transfer process. To help users better understand the workloads, AWS Application Discovery Service collects and presents configuration, use, and behaviour data from users' servers. The acquired data is stored in an AWS Application Discovery Service data store in an encrypted format. This information may be exported as a CSV file and used to calculate the Total Cost of Ownership (TCO) of running on AWS and to plan the user's migration to AWS. Many commercial customers have completed their cloud migrations with the aid of AWS Professional Services and APN Migration Partners. These experts have been trained to assess the output of the Application Discovery Service and may assist you in learning more about your on-premises setup and recommending viable migration solutions. This information is also available in the AWS Migration Hub, where users can migrate the detected servers and monitor their progress as they migrate to AWS. The data users uncover is saved in their AWS Migration Hub home region. As a result, before doing any discovery or migration activities, users must first set their home region in the Migration Hub console or with CLI commands. User's data can be exported to Microsoft Excel or AWS analytical tools like Amazon Athena and Amazon QuickSight for further investigation.

Benefits of AWS Application Discovery Service

  • The AWS Application Discovery Service gathers data on server specifications, performance, and details on running processes and network connections. This information can be used to create a precise cost estimate before migrating to AWS, as well as to group servers into applications for planning purposes thus for migration planning, reliable research is essential. The AWS Application Discovery Service is connected with the AWS Migration Hub, making migration tracking easier. Users may use Migration Hub to follow the status of migrations throughout their application portfolio after executing discovery and grouping the servers as apps and thus gets integration with migration hub. The acquired data is protected by AWS Application Discovery Service, which encrypts it both in transit to AWS and at rest within the Application Discovery Service data storage and thus helps in protecting data with encryption.

System Requirements

  • Any Operating System(Mac, Windows, Linux)

This recipe explains AWS Application Discovery Service and the features of AWS Application Discovery Service.

Features of AWS Application Discovery Service

    • It provides identification of server dependencies

Each server's inbound and outgoing network activity is recorded by AWS Application Discovery Service agents. This information can subsequently be utilised to deduce server dependencies.

    • It measures server performance

AWS Application Discovery Service measures host CPU, memory, and disc usage, as well as disc and network performance, to collect performance information about apps and processes (e.g., latency and throughput). This data allows users to create a performance baseline to compare to after migrating to AWS.

    • It provides an exploration of data in Amazon Athena

With Amazon Athena, users may evaluate the time-series system performance for each server, the types of processes executing on them, and the network dependencies between different servers using data obtained from their on-premises servers by running pre-defined queries.

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Ed Godalle

Director Data Analytics at EY / EY Tech
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I am the Director of Data Analytics with over 10+ years of IT experience. I have a background in SQL, Python, and Big Data working with Accenture, IBM, and Infosys. I am looking to enhance my skills... Read More

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