Explain the features of Amazon WorkSpaces

In this recipe, we will learn about Amazon WorkSpaces. We will also learn about the features of Amazon WorkSpaces.

Recipe Objective - Explain the features of Amazon WorkSpaces?

The Amazon WorkSpaces is a widely used service and enables users to provision virtual, cloud-based Microsoft Windows or Amazon Linux desktops for your users, known as WorkSpaces. Amazon WorkSpaces eliminates the requirement for hardware procurement and deployment, as well as the installation of sophisticated applications. As users' needs change, users may rapidly add or delete users. Users can use a variety of devices and web browsers to access their virtual desktops. Amazon WorkSpaces is also defined as a cloud-based, fully managed desktop computing solution that enables clients to deploy cloud-based desktops to their users. End-users can utilise their preferred device to access documents, programmes, and resources, such as laptops, iPads, Kindle Fire tablets, or Android tablets. This service was created to fulfil the growing demand for cloud-based 'Desktop as a Service' among its clients (DaaS). Each WorkSpace is an AWS-hosted persistent Windows Server 2008 R2 machine that looks like Windows 7. Users may access their desktops through PCoIP, and data backups are performed every 12 hours by default. The user must have an Internet connection with open TCP and UDP ports. They must first download the Amazon WorkSpaces client application for their device, which is available for free.

Learn to Build ETL Data Pipelines on AWS

Benefits of Amazon WorkSpaces

  • The Amazon WorkSpaces provides access to apps and desktops from anywhere, users can empower their remote workforce and respond rapidly to changing situations and thus increasing the productivity of users. Amazon WorkSpaces secures user data by storing it on AWS rather than on susceptible endpoint devices and thus it provides security. Amazon WorkSpaces provides on-demand, pay-as-you-go scalability with a variety of computing, memory, and storage choices and thus helps users save money. Amazon WorkSpaces reduces downtime with fully managed application delivery and AWS architecture that is further designed to provide 99.9% uptime and thus manages work.

System Requirements

  • Any Operating System(Mac, Windows, Linux)

This recipe explains Amazon WorkSpaces and the Features of Amazon WorkSpaces.

Features of Amazon WorkSpaces

    • It offers Functionality

Amazon WorkSpaces makes it simple to give users a secure, managed, cloud-based virtual desktop experience. Unlike typical on-premises VDI solutions, users won't have to worry about sourcing, deploying, or administering a complicated infrastructure since Amazon WorkSpaces takes care of everything. With Amazon WorkSpaces, users can provide their customers with a high-quality portable desktop and apps that they can use on their preferred device. Managing conventional PCs or an on-premises Virtual Desktop Infrastructure (VDI) solution both demand considerable financial investment and are difficult to implement and manage. Using a cloud-based virtual desktop environment reduces the need for upfront investment and ongoing infrastructure administration, resulting in significant cost savings.

    • It provides streaming protocols

Streaming protocols are used by Amazon WorkSpaces to offer users a safe and high-quality experience. These protocols examine the hosted desktop, network, and user's device before choosing compression and decompression algorithms (codecs) to encode a representation of the user's desktop and send it to the user's device as a pixel stream. By default, Amazon WorkSpaces uses Teradici's PC-over-IP (PCoIP) streaming protocol.

    • It provides Bundles

Users may use Amazon WorkSpaces to establish a standalone, managed directory for users, or users can connect it with their existing Active Directory infrastructure so that their users can access corporate resources using their existing credentials. This integration uses Amazon Virtual Private Cloud (VPC) or AWS Direct Connect to provide a secure hardware VPN connection to the user's on-premises network. To preserve complete administrative control, users may administer your WorkSpaces using the same tools they use to manage their on-premises workstations.

    • It enables users to bring their licenses

Users may use Amazon WorkSpaces to operate their existing Windows 10 Desktop licences on hardware that is physically dedicated to them. Users may save up to 16 per cent ($4 per month per WorkSpace) when they bring their current Windows licences to WorkSpaces vs WorkSpaces that contain a new Windows licence. To be eligible, the user's company must fulfil Microsoft's licence criteria and agree to host at least 100 Amazon WorkSpaces per month in a certain AWS region.

    • It provides easy provisioning

It's simple to set up desktops using Amazon WorkSpaces. Whether users want to launch one or many Amazon WorkSpaces, all they have to do is select the packages that best match their customer's needs, as well as the number of Amazon WorkSpaces they want to launch. After their Amazon WorkSpaces have been deployed, users will get an email with information on how to log in to their Amazon WorkSpace and where to download the Amazon WorkSpaces client apps they require. Users may quickly remove an Amazon WorkSpace if they no longer require it.

    • It provides security and encryption

The Amazon WorkSpaces offers a high-quality desktop experience that assists users in meeting compliance and security standards, such as HIPAA and PCI compliance. Users' company's data isn't delivered to or kept on end-user devices using WorkSpaces. WorkSpaces uses the PC-over-IP (PCoIP) remote display protocol to give users a similar desktop experience while their data is stored in the AWS cloud or on-premises.

What Users are saying..

profile image

Ed Godalle

Director Data Analytics at EY / EY Tech
linkedin profile url

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

Relevant Projects

Build a Spark Streaming Pipeline with Synapse and CosmosDB
In this Spark Streaming project, you will learn to build a robust and scalable spark streaming pipeline using Azure Synapse Analytics and Azure Cosmos DB and also gain expertise in window functions, joins, and logic apps for comprehensive real-time data analysis and processing.

Create A Data Pipeline based on Messaging Using PySpark Hive
In this PySpark project, you will simulate a complex real-world data pipeline based on messaging. This project is deployed using the following tech stack - NiFi, PySpark, Hive, HDFS, Kafka, Airflow, Tableau and AWS QuickSight.

Real-time Auto Tracking with Spark-Redis
Spark Project - Discuss real-time monitoring of taxis in a city. The real-time data streaming will be simulated using Flume. The ingestion will be done using Spark Streaming.

Learn to Create Delta Live Tables in Azure Databricks
In this Microsoft Azure Project, you will learn how to create delta live tables in Azure Databricks.

PySpark Project-Build a Data Pipeline using Hive and Cassandra
In this PySpark ETL Project, you will learn to build a data pipeline and perform ETL operations by integrating PySpark with Hive and Cassandra

Yelp Data Processing Using Spark And Hive Part 1
In this big data project, you will learn how to process data using Spark and Hive as well as perform queries on Hive tables.

Web Server Log Processing using Hadoop in Azure
In this big data project, you will use Hadoop, Flume, Spark and Hive to process the Web Server logs dataset to glean more insights on the log data.

How to deal with slowly changing dimensions using snowflake?
Implement Slowly Changing Dimensions using Snowflake Method - Build Type 1 and Type 2 SCD in Snowflake using the Stream and Task Functionalities

Airline Dataset Analysis using PySpark GraphFrames in Python
In this PySpark project, you will perform airline dataset analysis using graphframes in Python to find structural motifs, the shortest route between cities, and rank airports with PageRank.

Real-Time Streaming of Twitter Sentiments AWS EC2 NiFi
Learn to perform 1) Twitter Sentiment Analysis using Spark Streaming, NiFi and Kafka, and 2) Build an Interactive Data Visualization for the analysis using Python Plotly.