Introduction to Amazon Lumberyard and its use cases

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

Recipe Objective - Introduction to Amazon Lumberyard and its use cases?

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.

Build a Real-Time Dashboard with Spark, Grafana and Influxdb

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 the Use cases of Amazon Lumberyard.

Use cases of Amazon Lumberyard

    • It integrates with Amazon Gameloft

The Amazon Lumberyard provides Lumberyard and Amazon GameLift working together to deploy, operate, and scale dedicated instances for multiplayer games.

    • It connects with Twitch

The Amazon Lumberyard integrates with Twitch to allow users to interact with other players and view real-time statistics while playing.

    • It provides features like Cloud Canvas

Amazon Lumberyard provides Cloud Canvas which is a set of Amazon Lumberyard-exclusive AWS tools that allows developers to integrate cloud-connected features into their games. The Cloud Gems Framework for common prepackaged game features, tools to manage AWS resources, authentication methods, and flow graph nodes, which open up communication from the game to services like Amazon DynamoDB and Amazon Cognito, are all included in Cloud Canvas.

What Users are saying..

profile image

Abhinav Agarwal

Graduate Student at Northwestern University
linkedin profile url

I come from Northwestern University, which is ranked 9th in the US. Although the high-quality academics at school taught me all the basics I needed, obtaining practical experience was a challenge.... Read More

Relevant Projects

Flask API Big Data Project using Databricks and Unity Catalog
In this Flask Project, you will use Flask APIs, Databricks, and Unity Catalog to build a secure data processing platform focusing on climate data. You will also explore advanced features like Docker containerization, data encryption, and detailed data lineage tracking.

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.

Azure Stream Analytics for Real-Time Cab Service Monitoring
Build an end-to-end stream processing pipeline using Azure Stream Analytics for real time cab service monitoring

Hadoop Project to Perform Hive Analytics using SQL and Scala
In this hadoop project, learn about the features in Hive that allow us to perform analytical queries over large datasets.

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

Build Serverless Pipeline using AWS CDK and Lambda in Python
In this AWS Data Engineering Project, you will learn to build a serverless pipeline using AWS CDK and other AWS serverless technologies like AWS Lambda and Glue.

Data Processing and Transformation in Hive using Azure VM
Hive Practice Example - Explore hive usage efficiently for data transformation and processing in this big data project using Azure VM.

SQL Project for Data Analysis using Oracle Database-Part 4
In this SQL Project for Data Analysis, you will learn to efficiently write queries using WITH clause and analyse data using SQL Aggregate Functions and various other operators like EXISTS, HAVING.

AWS Project for Batch Processing with PySpark on AWS EMR
In this AWS Project, you will learn how to perform batch processing on Wikipedia data with PySpark on AWS EMR.

Python and MongoDB Project for Beginners with Source Code-Part 1
In this Python and MongoDB Project, you learn to do data analysis using PyMongo on MongoDB Atlas Cluster.