Explain the features of Amazon Lumberyard

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

Recipe Objective - Explain the features of Amazon Macie?

The Amazon Lumberyard is a widely used service and is defined as a defunct freeware cross-platform game engine developed by Amazon, based on CryEngine and licenced from Crytek in 2015. Amazon and the Linux Foundation announced in July 2021 that parts of the engine would be used to create the Open 3D Engine, a new open source game engine that would replace it. The new engine will be managed by a new Open 3D Foundation, which will be run by the Linux Foundation and will be licenced under the open source Apache 2.0 licence. The new engine is said to be based on Lumberyard, but many parts have been rewritten, so it is considered a new engine. The Lumberyard engine includes Amazon Web Services integration, which allows developers to build or host their games on Amazon's servers, as well as Twitch support. The engine also includes Twitch ChatPlay, which allows Twitch stream viewers to influence the game via the associated chat, a feature inspired by the Twitch Plays Pokémon phenomenon. End users have access to the source code with the following restrictions: The Lumberyard engine source code may not be publicly released or used to create their game engine. Amazon Lumberyard debuted on February 9, 2016, alongside GameLift, a fee-based managed service for deploying and hosting multiplayer games, to make it easier for developers to create games with "large and vibrant communities of fans.

Deploy an Auto Twitter Handle with Spark and Kafka

Benefits of Amazon Lumberyard

  • The Amazon Lumberyard V2 O3DE is designed to be modular and flexible. To give the games and simulations the capabilities they need without the features they don't, swap out subsystems or easily add integrations and thus it builds bigger. With O3DE's AWS Integration Gem, users can add multiplayer scaling, analytics, cloud storage, and real-time data sources to their game directly from the engine and thus it builds connected. O3DE is open-source and completely free. There are no seat fees, subscription fees, or revenue-sharing obligations. Users have complete control over their engine technology thanks to the Apache 2.0 licence and thus it builds free.

System Requirements

  • Any Operating System(Mac, Windows, Linux)

This recipe explains Amazon Lumberyard and its Features of Amazon Lumberyard.

Features of Amazon Lumberyard

    • It provides integration with DynamoDB and Cognito

The Amazon Lumberyard allows the game to communicate with services such as Amazon DynamoDB and Amazon Cognito. Through AWS Identity and Access Management, an AWS account holder or administrator grants the team access to Cloud Canvas. The administrator can grant or restrict access as needed, giving development, test, and release teams specific permissions.

    • It's compatible with Amazon Gameloft.

The Amazon Lumberyard and Amazon GameLift work together to deploy, operate, and scale dedicated instances for multiplayer games in the Amazon Lumberyard.

    • It is linked to Twitch.

Users can interact with other players and view real-time statistics while playing the Amazon Lumberyard thanks to a Twitch integration.

    • It has features such as Canvas with Clouds

Amazon Lumberyard provides Cloud Canvas, a set of Amazon Lumberyard-exclusive AWS tools that allows developers to integrate cloud-connected features into their games, and is available from the Amazon Lumberyard. Cloud Canvas includes the Cloud Gems Framework for prepackaged game features, tools to manage AWS resources, authentication methods, and flow graph nodes, which allow communication between the game and services like Amazon DynamoDB and Amazon Cognito.

What Users are saying..

profile image

Anand Kumpatla

Sr Data Scientist @ Doubleslash Software Solutions Pvt Ltd
linkedin profile url

ProjectPro is a unique platform and helps many people in the industry to solve real-life problems with a step-by-step walkthrough of projects. A platform with some fantastic resources to gain... Read More

Relevant Projects

Snowflake Azure Project to build real-time Twitter feed dashboard
In this Snowflake Azure project, you will ingest generated Twitter feeds to Snowflake in near real-time to power an in-built dashboard utility for obtaining popularity feeds reports.

Build an ETL Pipeline for Financial Data Analytics on GCP-IaC
In this GCP Project, you will learn to build an ETL pipeline on Google Cloud Platform to maximize the efficiency of financial data analytics with GCP-IaC.

Build an AWS ETL Data Pipeline in Python on YouTube Data
AWS Project - Learn how to build ETL Data Pipeline in Python on YouTube Data using Athena, Glue and Lambda

SQL Project for Data Analysis using Oracle Database-Part 6
In this SQL project, you will learn the basics of data wrangling with SQL to perform operations on missing data, unwanted features and duplicated records.

Azure Data Factory and Databricks End-to-End Project
Azure Data Factory and Databricks End-to-End Project to implement analytics on trip transaction data using Azure Services such as Data Factory, ADLS Gen2, and Databricks, with a focus on data transformation and pipeline resiliency.

Build an Incremental ETL Pipeline with AWS CDK
Learn how to build an Incremental ETL Pipeline with AWS CDK using Cryptocurrency data

Snowflake Real Time Data Warehouse Project for Beginners-1
In this Snowflake Data Warehousing Project, you will learn to implement the Snowflake architecture and build a data warehouse in the cloud to deliver business value.

Learn to Build Regression Models with PySpark and Spark MLlib
In this PySpark Project, you will learn to implement regression machine learning models in SparkMLlib.

SQL Project for Data Analysis using Oracle Database-Part 5
In this SQL Project for Data Analysis, you will learn to analyse data using various SQL functions like ROW_NUMBER, RANK, DENSE_RANK, SUBSTR, INSTR, COALESCE and NVL.

Implementing Slow Changing Dimensions in a Data Warehouse using Hive and Spark
Hive Project- Understand the various types of SCDs and implement these slowly changing dimesnsion in Hadoop Hive and Spark.