Lua

Lua
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About

Lua is a free and open-source, powerful, robust, minimal, and embeddable scripting language. It’s extensible and interpreted scripting language that is dynamically typed, and run by interpreting bytecode with a register-based virtual machine. Lua is a versatile programming language being used in numerous industries (from the web to gaming to image processing and beyond), and it’s designed with a high priority for embedded systems.

Lua runs on all if not most Unix-like operating systems including Linux and Windows; on mobile operating systems (Android, iOS, BREW, Symbian, Windows Phone); on embedded microprocessors (ARM and Rabbit); on IBM mainframes, and many more.

Lua Features:

  • Builds on all systems with a standard C compiler.
  • It’s remarkably lightweight, fast, efficient, and portable.
  • It’s easy to learn and use.
  • It has a simple and well-documented API.
  • It supports several types of programming (such as procedural, object-oriented, functional, and data-driven programming as well as data description).
  • Implements object-oriented via meta-mechanisms.
  • It also brings together straightforward procedural syntax with formidable data description constructs rooted around associative arrays and extensible semantics.
  • Comes with automatic memory management with incremental garbage collection (thus making it perfect for real-world configuration, scripting, and also breakneck prototyping).

You can subscribe to LUA, an AWS Marketplace product and launch an instance from the product’s AMI using the Amazon EC2 launch wizard.

To launch an instance from the AWS Marketplace using the launch wizard

  • Open the Amazon EC2 console at https://console.aws.amazon.com/ec2/
  • From the Amazon EC2 dashboard, choose Launch Instance. On the Choose an Amazon Machine Image (AMI) page, choose the AWS Marketplace category on the left. Find a suitable AMI by browsing the categories, or using the search functionality. Choose Select to choose your product.
  • A dialog displays an overview of the product you’ve selected. You can view the pricing information, as well as any other information that the vendor has provided. When you’re ready, choose Continue.
  • On the Choose an Instance Type page, select the hardware configuration and size of the instance to launch. When you’re done, choose Next: Configure Instance Details.
  • On the next pages of the wizard, you can configure your instance, add storage, and add tags. For more information about the different options you can configure, see Launching an Instance. Choose Next until you reach the Configure Security Group page.
  • The wizard creates a new security group according to the vendor’s specifications for the product. The security group may include rules that allow all IP addresses (0.0.0.0/0) access on SSH (port 22) on Linux or RDP (port 3389) on Windows. We recommend that you adjust these rules to allow only a specific address or range of addresses to access your instance over those ports
  • When you are ready, choose Review and Launch.
  • On the Review Instance Launch page, check the details of the AMI from which you’re about to launch the instance, as well as the other configuration details you set up in the wizard. When you’re ready, choose Launch to select or create a key pair, and launch your instance.
  • Depending on the product you’ve subscribed to, the instance may take a few minutes or more to launch. You are first subscribed to the product before your instance can launch. If there are any problems with your credit card details, you will be asked to update your account details. When the launch confirmation page displays.

Usage/Deployment Instructions

Step 1: SSH into Your Instance: Use the SSH command with the username ubuntu and the appropriate key pair to start the application.

Username: ubuntu

ssh -i path/to/ssh_key.pem ubuntu@instance-IP

Replace path/to/ssh_key.pem with the path to your SSH key file and instance-IP with your instance’s public IP address.

Step 2: Now, create a file on the terminal

nano filename.lua

And add the following code to the file.

print(“Hello World”)

print(“This is admin and we are testing Lua”)

Save and close the file.

Step 3: Then run your program as shown.

lua filename.lua

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    Amazon EC2 enables “compute” in the cloud. Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources and lets you run on Amazon’s proven computing environment. Amazon EC2 reduces the time required to obtain and boot new server instances to minutes, allowing you to quickly scale capacity, both up and down, as your computing requirements change. Amazon EC2 changes the economics of computing by allowing you to pay only for capacity that you actually use.

    VPC endpoints enable you to privately connect your VPC to services hosted on AWS without requiring an Internet gateway, a NAT device, VPN, or firewall proxies. Endpoints are horizontally scalable and highly available virtual devices that allow communication between instances in your VPC and AWS services. Amazon VPC offers two different types of endpoints: gateway type endpoints and interface type endpoints.

    Gateway type endpoints are available only for AWS services including S3 and DynamoDB. These endpoints will add an entry to your route table you selected and route the traffic to the supported services through Amazon’s private network.

    Interface type endpoints provide private connectivity to services powered by PrivateLink, being AWS services, your own services or SaaS solutions, and supports connectivity over Direct Connect. More AWS and SaaS solutions will be supported by these endpoints in the future. Please refer to VPC Pricing for the price of interface type endpoints.

    No. You do not need an Elastic IP address for all your instances. By default, every instance comes with a private IP address and an internet routable public IP address. The private address is associated exclusively with the instance and is only returned to Amazon EC2 when the instance is stopped or terminated. The public address is associated exclusively with the instance until it is stopped, terminated or replaced with an Elastic IP address. These IP addresses should be adequate for many applications where you do not need a long lived internet routable end point. Compute clusters, web crawling, and backend services are all examples of applications that typically do not require Elastic IP addresses.

    Amazon S3 provides a simple web service interface that you can use to store and retrieve any amount of data, at any time, from anywhere on the web. Using this web service, you can easily build applications that make use of Internet storage. Since Amazon S3 is highly scalable and you only pay for what you use, you can start small and grow your application as you wish, with no compromise on performance or reliability.

    Amazon S3 is also designed to be highly flexible. Store any type and amount of data that you want; read the same piece of data a million times or only for emergency disaster recovery; build a simple FTP application, or a sophisticated web application such as the Amazon.com retail web site. Amazon S3 frees developers to focus on innovation instead of figuring out how to store their data

    By default, Amazon RDS chooses the optimal configuration parameters for your DB Instance taking into account the instance class and storage capacity. However, if you want to change them, you can do so using the AWS Management Console, the Amazon RDS APIs, or the AWS Command Line Interface. Please note that changing configuration parameters from recommended values can have unintended effects, ranging from degraded performance to system crashes, and should only be attempted by advanced users who wish to assume these risks.

    • RDS for Amazon Aurora: No limit imposed by software
    • RDS for MySQL: No limit imposed by software
    • RDS for MariaDB: No limit imposed by software
    • RDS for Oracle: 1 database per instance; no limit on number of schemas per database imposed by software
    • RDS for SQL Server: 30 databases per instance
    • RDS for PostgreSQL: No limit imposed by software

    Highlights

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      Lightweight and Fast

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      Embeddability

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      Simplicity

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      Extensibility

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      Cross Platform

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      Garbage Collection

    Application Installed

    • icon Lua