By default, the Amazon EC2 Ubuntu Server instance does not come with a GUI desktop environment. You can only connect to it via SSH using a client side application like “Putty” to perform any operations on it. This post will be focused on how to setup a remote desktop environment on the Ubuntu Server 13.10 using xrdp so one can connect to it using Remote Desktop. At first when I installed the Remote Desktop Protocol (RDP) server (xrdp) via the Ubuntu Software Centre which runs on my local machine VirtualBox, I tried to RDP to it but for some reasons, the screen appeared Grey.
This is a quick tutorial on how to install Ubuntu Server 13.10 on Amazon Web Services (AWS) EC2 (Elastic Compute Cloud) instance. That said Amazon offers a free tier for both new and existing clients, which means that you can install the OS and use it for free for just one year from date of registering. Before I get started, I would assume that you already have an account on AWS, if not then you need to sign-up for a free account @ AWS Step 1: Create a New Instance – Once you are logged into AWS, click on EC2 under Amazon Web Services – Under Create Instance, click on “Launch Instance“ – Check “Free tier only” to filter all Free tier AMIs, then click on Select for “Ubuntu Server 13.
Following from my previous post on Installing the Amazon EMR Command Line Interface for Windows, I will look at how to create an Elastic MapReduce job (Hive Cluster) from the CLI. This includes creation of Instances i.e a Master Instance and Slave Instances using an Interactive Hive Session. Step 1: without specifying the number of instances to create – Run the following command from the Amazon EMR CLI directory: –create –alive –hive-interactive –name “Test_Job Flow” –instance-type m1.
I was working on a simple project on how to manage my Amazon EC2 and S3 buckets from my local machine and decided to document how to achieve this using the Amazon EMR CLI for Windows. There are several tools and options how there that you can also use to manage your Amazon EC2 and S3 buckets, for instance Windows PowerShell. For the purpose of this post, I will focus mainly on Amazon EMR CLI.
Recently I have been involved in a new project to evaluate the ease and use of the Amazon Web Services cloud based solution to enable us manage and query over 5TB of PMTA log files. Since Amazon AWS service is new to me, I have studied and run some tests to understand how the solution works and its benefit. One of the few challenges I first had were: – Where do I start from?