Sold by: Askforcloud LLC
Deployed on AWS
AWS Free Tier
This product has charges associated with it for seller support. Pre-configured Kubernetes AMI on Ubuntu 22.04 LTS with kubeadm, kubelet, and kubectl pre-installed.
Overview
Kubernetes on Ubuntu Server 22.04 LTS - Pre-Configured and Ready to Deploy
Get started with Kubernetes on AWS using this pre-configured Amazon Machine Image (AMI) built on Ubuntu Server 22.04 LTS. This AMI is a repackaged open source software product with professional support and maintenance provided by AskforCloud LLC. Launch a Kubernetes-ready EC2 instance with essential tools already installed, so you can focus on deploying and managing your containerized applications rather than configuring infrastructure from scratch.
What Is Kubernetes?
Kubernetes (K8s) is an open-source container orchestration platform originally designed by Google and now maintained by a worldwide community of contributors under the Cloud Native Computing Foundation. It automates software deployment, scaling, and management of containerized workloads and services. Kubernetes supports both declarative configuration and automation, making it a portable and extensible platform for managing applications of all sizes.
Kubernetes assembles one or more computers - virtual machines or bare metal - into a cluster capable of running workloads in containers. It works with various container runtimes such as containerd and CRI-O, and its suitability for managing workloads of all sizes has led to widespread adoption across clouds and data centers.
Pre-Installed Components
This AMI comes with the following Kubernetes tools pre-installed and ready for use:
- kubeadm - Bootstrap and initialize your Kubernetes cluster with a single command. kubeadm handles the complex setup of control plane components so you can get a cluster running quickly.
- kubelet - The primary node agent that runs on every machine in your cluster, responsible for starting pods and containers and ensuring they remain healthy.
- kubectl - The command-line interface for interacting with your Kubernetes cluster. Use kubectl to deploy applications, inspect resources, manage configurations, and view logs.
Potential Use Cases
This Kubernetes AMI can support a variety of containerized workload scenarios, including:
- Development and Testing Environments - Spin up a Kubernetes cluster on EC2 to build, test, and iterate on microservices-based applications before promoting them to production.
- CI/CD Pipeline Infrastructure - Run continuous integration and continuous delivery pipelines on self-managed Kubernetes infrastructure where you control the configuration and lifecycle.
- Container Orchestration Learning - Use this AMI as a hands-on learning environment to explore Kubernetes concepts such as pods, services, deployments, and scaling.
- Self-Managed Workloads on AWS - Deploy and manage containerized applications on EC2 instances with full control over your Kubernetes cluster configuration and networking.
Getting Started
After launching this AMI on your chosen EC2 instance, the core Kubernetes tools (kubeadm, kubelet, kubectl) are already installed on Ubuntu Server 22.04 LTS. You will use kubeadm to initialize your cluster's control plane and configure kubectl to interact with it. Refer to the official Kubernetes documentation.
Disclaimer - This AMI contains free and open source software. All software and trademarks used in this AMI are the exclusive property of their respective owners. Askforcloud LLC does not offer a commercial license for the product mentioned above.
Kubernetes is a registered trademark of the Linux Foundation.
Highlights
- Askforcloud LLC simplifies cloud adoption with ready-to-deploy AMIs built for speed, security, and performance. Empower your workloads with scalable, reliable, and efficient cloud solutions designed for seamless deployment.
- Pre-installed Kubernetes tooling on Ubuntu 22.04 LTS - This AMI comes with kubeadm, kubelet, and kubectl already installed and configured on Ubuntu Server 22.04 LTS, reducing the time and effort needed to set up a Kubernetes environment on AWS. Instead of manually installing and configuring each component, you can launch this AMI and begin initializing your cluster immediately.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu Server 22.04 LTS
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
t2.large Recommended | $0.10 |
t3.micro | $0.006 |
t2.micro | $0.006 |
t3a.2xlarge | $0.10 |
r4.2xlarge | $0.10 |
m5d.8xlarge | $0.60 |
m5.xlarge | $0.10 |
m4.10xlarge | $0.70 |
c5n.large | $0.10 |
m5zn.large | $0.10 |
Dimensions summary
You pay by the hour for this Kubernetes machine image running on Ubuntu Server 22.04 LTS. Pricing is usage-based, with no upfront commitment. Each dimension maps to a specific Amazon EC2 instance type, billed per hour of use. The choices span many instance families, including general-purpose, compute-optimized, memory-optimized, storage-optimized, GPU, and high-memory options. Your rate depends on the instance you select, since larger instances with more compute, memory, or specialized hardware carry different hourly rates. You can pick the instance that fits your workload size and pay only for the hours you run it.
Top-of-mind questions for buyers
One hour reflects each hour a chosen Amazon EC2 instance runs with the machine image installed. Billing meters running time per instance. If you run several instances, each accrues its own hourly charge. The rate matches the instance type you launched.
The software charge meters running time only. A stopped instance does not accrue software fees. Underlying AWS charges, such as storage for the attached volume, may still apply while the instance is stopped. Software billing resumes when you start the instance again.
Your rate follows the instance type you select. To handle more compute or memory, launch a larger instance family, which carries a different hourly rate. You can also run additional instances, each billed separately per hour. There is no upfront commitment, so you adjust as needs change.
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For this offer, Askforcloud LLC does not offer refund, you can cancel at anytime.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Added latest version
Additional details
Usage instructions
Connect to EC2 Linux instance - https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstances.html ( Port - 22 and Username - ubuntu)
Kubernetes - https://kubernetes.io/docs/home/ Use the following steps:
- Verify kubectl - check in command line interface - kubectl
- Check Kubernetes Version : kubectl version
- Refer document - https://kubernetes.io/docs/tutorials/kubernetes-basics/
Resources
Vendor resources
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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