Sold by: digitalis.io
Deployed on AWS
AWS Free Tier
VM pre-loaded with everything a developer needs: Headlamp UI for easy cluster management, ArgoCD for GitOps, VS Code Server for in-browser coding, and essential databases. Deploy, code, and manage your apps instantly. Ready to code in minutes.
Overview
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Kubernetes configuration
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Kubernetes in a Box by Digitalis.IO is a production ready Kubernetes platform that deploys in under 15 minutes. No complex setup, no steep learning curve, just a complete, enterprise grade container orchestration platform with monitoring, dashboards, GitOps, databases, and more.
It is perfect for development teams who need a quick Kubernetes environment for testing and development. It is also great for learning Kubernetes without the complexity of manual cluster setup. Use it for proof of concepts and demos that need production grade features. It suits small to medium workloads that do not require a full managed Kubernetes service. Finally, it is ideal for CI/CD pipelines for testing containerized applications.
Why Choose This Over EKS GKE AKS? Setup Time for Kubernetes in a Box is a quick 15 minutes compared to 30 to 60 plus minutes for Managed K8s (EKS GKE AKS). Cost is approximately $41 per month (single t3 dot medium) for Kubernetes in a Box, versus $75 plus control plane plus nodes for Managed K8s. Complexity is easy with a Web UI wizard for Kubernetes in a Box, while Managed K8s requires complex CLI Console setup. Kubernetes in a Box includes 10 plus production tools pre installed, but Managed K8s requires manual installation. Kubernetes in a Box is best for Development, test, and small workloads, and Managed K8s is best for Production at scale.
What You Get. Deploy a complete Kubernetes platform with these production grade tools pre configured.
Core Infrastructure includes K3s, a lightweight, certified Kubernetes distribution. It features cert manager for automated SSL TLS certificate management. It uses Rancher Local Path Provisioner for dynamic persistent volume provisioning. Traefik Ingress provides a built in load balancer and reverse proxy.
The Observability Stack includes Prometheus for metrics collection and monitoring. Grafana is included for beautiful dashboards and alerting. Grafana Tempo offers distributed tracing (optional). CloudWatch Integration allows for AWS native monitoring.
DevOps and GitOps features are ArgoCD for GitOps continuous delivery for Kubernetes. Headlamp is a modern Kubernetes web dashboard. Code server is VS Code in your browser for remote development.
Database Options include MariaDB (MySQL) plus phpMyAdmin for a relational database with web UI. PostgreSQL (CloudNativePG) plus pgAdmin is available for an advanced relational database with web UI.
The Web Based Configuration Wizard offers an intuitive UI, so no Kubernetes knowledge is required. It features one click deployments, allowing you to enable or disable features with checkboxes. Credential management automatically generates passwords and tokens. You can also export configuration to download kubeconfig and credentials.
Highlights
- Production-ready Kubernetes VM for developers and testers. Deploy in under 15 minutes with pre-configured Web UI, Development Environment, GitOps and databases.
- It's a significantly cheaper and faster alternative to setting up or running full managed services for development and smaller workloads. Focus on code, not config.
- Fully automated installation with no DevOps skills required
Details
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Delivery method
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64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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.medium Recommended | $0.06 |
t3.micro | $0.06 |
m3.2xlarge | $0.06 |
r7i.xlarge | $0.06 |
r5ad.2xlarge | $0.06 |
m6i.large | $0.06 |
h1.16xlarge | $0.06 |
r8i.32xlarge | $0.06 |
m6id.4xlarge | $0.06 |
m5n.24xlarge | $0.06 |
Dimensions summary
You pay by the hour for this Kubernetes platform, billed per running EC2 instance. Each dimension maps to a specific AWS instance type, so your cost tracks the compute you choose. Rates scale with instance size and family. Smaller general-purpose types like t3 and m5 cost less per hour, while large memory-optimized (r-series), storage-optimized (i-series), GPU (g and p series), and high-memory (u-series) types cost more. You select instances to match your workload's CPU, memory, storage, or GPU needs. Total spend depends on which types you run and for how long.
Top-of-mind questions for buyers
Each dimension maps to one AWS EC2 instance type. You pay per instance-hour for the type you launch. One running instance of a given type accrues one hourly charge. Larger sizes within a family carry higher hourly rates, matching their added CPU, memory, storage, or GPU capacity.
The software rate meters running instance-hours. A stopped instance does not accrue software charges. Underlying AWS resources such as attached storage may still bill separately through AWS. The listing charge tracks the hours your chosen instances actually run.
Each running instance bills independently at its own hourly rate. Your total is the sum across every active instance for the hours each runs. Mixing families such as compute, memory, storage, or GPU types adds each type's rate separately on the same invoice.
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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
patches and updates
Additional details
Usage instructions
Deploy this AMI using either the AWS console or your preferred automation tool. Once the EC2 instance is up and running browse to https://<instance-ip>:9443 to launch the wizard. From here, just follow the on screen instructions.
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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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