Programming your own operating system is more complicated than most other types of coding. With that in mind, you need a lot of knowledge and experience to take on this challenge. However, you can put yourself on the right track with three basic steps:
Learning OS development is one of the most challenging programming tasks you can undertake. However, succeeding in your effort to program your own operating system will mark you as a competent programmer and one who deeply understands how processors, hardware, and computer programs work together to create what the rest of the world takes for granted as a functioning computer.
Image Builder reduces the amount of work involved in creating and managing images at scale byautomating your build pipelines. You can automate your builds by providing your buildexecution schedule preference. Automation reduces the operational cost of maintainingyour software with the latest operating system patches.
Image Builder provides access to test components that you can use to test your images beforedeployment. You can also create custom test components with AWS Task Orchestrator and Executor (AWSTOE), and usethose. Image Builder distributes your image only if all of the configured tests havesucceeded.
The base image is the selected image and operating system used in your image orcontainer recipe document, along with the components. The base image and thecomponent definitions combined produce the desired configuration for the outputimage.
A component is created from a declarative, plain-text YAML or JSON document thatdescribes the runtime configuration for building and validating, or testing an instancethat is produced by your pipeline. Components run on the instance using a componentmanagement application. The component management application parses the documents andruns the desired steps.
After they are created, one or more components are grouped together using an imagerecipe or container recipe to define the plan for building and testing a virtual machineor container image. You can use public components that are owned and managed by AWS,or you can create your own. For more information about components, see AWS Task Orchestrator and Executor component manager.
There is no cost to use EC2 Image Builder to create custom AMI or container images. However,standard pricing applies for other services that are used in the process. The followinglist includes the usage of some AWS services that can incur costs when you create,build, store, and distribute your custom AMI or container images, depending on yourconfiguration.
Amazon EC2 allows you to set up and configure everything about your instances from your operating system up to your applications. An Amazon Machine Image (AMI) is simply a packaged-up environment that includes all the necessary bits to set up and boot your instance. Your AMIs are your unit of deployment. You might have just one AMI or you might compose your system out of several building block AMIs (e.g., webservers, appservers, and databases). Amazon EC2 provides a number of tools to make creating an AMI easy. Once you create a custom AMI, you will need to bundle it. If you are bundling an image with a root device backed by Amazon EBS, you can simply use the bundle command in the AWS Management Console. If you are bundling an image with a boot partition on the instance store, then you will need to use the AMI Tools to upload it to Amazon S3. Amazon EC2 uses Amazon EBS and Amazon S3 to provide reliable, scalable storage of your AMIs so that we can boot them when you ask us to do so.
The RunInstances call that initiates execution of your application stack will return a set of DNS names, one for each system that is being booted. This name can be used to access the system exactly as you would if it were in your own data center. You own that machine while your operating system stack is executing on it.
You can currently use Windows Server, SUSE Enterprise Linux, Ubuntu, and Amazon Linux AMIs on P2 and G3 instances. P3 instances only support HVM AMIs. If you want to launch AMIs with operating systems not listed here, contact AWS Customer Support with your request or reach out through EC2 Forums.
Aside from the NVIDIA drivers and GRID SDK, the use of G2 and G3 instances does not necessarily require any third-party licenses. However, you are responsible for determining whether your content or technology used on G2 and G3 instances requires any additional licensing. For example, if you are streaming content you may need licenses for some or all of that content. If you are using third-party technology such as operating systems, audio and/or video encoders, and decoders from Microsoft, Thomson, Fraunhofer IIS, Sisvel S.p.A., MPEG-LA, and Coding Technologies, please consult these providers to determine if a license is required. For example, if you leverage the on-board h.264 video encoder on the NVIDIA GRID GPU you should reach out to MPEG-LA for guidance, and if you use mp3 technology you should contact Thomson for guidance.
The design that you create to program your FPGA is called an Amazon FPGA Image (AFI). AWS provides a service to register, manage, copy, query, and delete AFIs. After an AFI is created, it can be loaded on a running F1 instance. You can load multiple AFIs to the same F1 instance, and can switch between AFIs in runtime without reboot. This lets you quickly test and run multiple hardware accelerations in rapid sequence. You can also offer to other customers on the AWS Marketplace a combination of your FPGA acceleration and an AMI with custom software or AFI drivers.
You will want to verify that the minimum memory requirements of your operating system and applications are within the memory allocated for each T2 instance size (e.g. 512 MiB for t2.nano). Operating systems with Graphical User Interfaces (GUI) that consume significant memory and CPU, for example Microsoft Windows, might need a t2.micro or larger instance size for many use cases. You can find AMIs suitable for the t2.nano instance types on AWS Marketplace. Windows customers who do not need the GUI can use the Microsoft Windows Server 2012 R2 Core AMI.
The c4.8xlarge instance type provides the ability for an operating system to control processor C-states and P-states. This feature is currently available only on Linux instances. You may want to change C-state or P-state settings to increase processor performance consistency, reduce latency, or tune your instance for a specific workload. By default, Amazon Linux provides the highest-performance configuration that is optimal for most customer workloads; however, if your application would benefit from lower latency at the cost of higher single- or dual-core frequencies, or from lower-frequency sustained performance as opposed to bursty Turbo Boost frequencies, then you should consider experimenting with the C-state or P-state configuration options that are available to these instances. For additional information on this feature, see the Amazon EC2 User Guide section on Processor State Control.
Yes, you can select a new instance type, operating system, tenancy, or payment option when you exchange your Convertible RIs. You also have the flexibility to exchange a portion of your Convertible RI or merge the value of multiple Convertible RIs in a single exchange.
Yes. Convertible RIs offer you the option to change the instance type, operating system, tenancy or payment option of your RI during its term. Please refer to the Convertible RI section of the FAQ for additional information.
Now that you've installed the CPU and the CPU cooler, you may want to perform a quick test run of your components just to make sure they all work. This test is much more difficult to perform (and troubleshoot) once everything is installed in the chassis. To do this, install GPU and connect everything to the power supply (if you don't know how to install the GPU, see section below). Make sure the power supply is connected to the motherboard (both CPU 8pin and 24pin) and GPU, then plug it in and turn it on.
A: Amazon WorkSpaces supports two protocols, PCoIP and WorkSpaces Streaming Protocol (WSP). The protocol that you choose depends on several factors, such as the type of devices your users will be accessing their WorkSpaces from, which operating system is on your WorkSpaces, what network conditions your users will be facing, and whether your users require unique features available to specific protocols, such as bidirectional video or smartcard support with WSP. Visit Protocols for Amazon WorkSpaces in the Amazon WorkSpaces Administration Guide to learn more.
A: Amazon WorkSpaces offers Amazon Linux WorkSpaces built on Amazon Linux 2 LTS, Ubuntu WorkSpaces built on Ubuntu Desktop 22.04 LTS, or Windows 10 desktop experiences. You can choose if your Windows 10 desktop experience is powered by Windows Server 2016 or Windows Server 2019. If your organization is eligible to bring its own Windows Desktop licenses, you can run the Windows 10 Enterprise operating system on your Amazon WorkSpaces.
A: Yes. You can switch between Value, Standard, Performance, Power, or PowerPro bundles by using the Amazon WorkSpaces management console or the WorkSpaces API. When you switch hardware bundles, your WorkSpaces restart immediately. When they resume, your operating system, applications, data, and allocated storage on both the root and user volumes are all preserved.
For example, you can launch a Standard bundle (2vCPU, 4 GiB), and later expand the volume size on both volumes to 500 GB. You can then switch to the Performance bundle (2vCPU, 7.5 GiB) while preserving your operating system, applications, and data in the expanded volume.
A: You can activate your Windows 10 Desktop operating system using existing Microsoft activation servers that are hosted in your VPC, or ones that can be reached from the VPC in which Amazon WorkSpaces are launched.
A: After you have created a BYOL image with the Offi