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    OpenTofu | Support by cloudimg

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    Sold by: cloudimg 
    Deployed on AWS
    Free Trial
    AWS Free Tier
    This product has charges associated with it for seller support. OpenTofu, the open source Infrastructure-as-Code engine and community-driven Terraform fork, preinstalled as a ready-to-use IaC workstation. The tofu binary, a shared provider plugin cache on a dedicated disk and an offline demo configuration are all set up, so you can init, plan and apply within minutes of launch. Backed by 24/7 cloudimg support.

    Overview

    Open image

    This is a repackaged open source software product wherein additional charges apply for cloudimg support services.

    Overview OpenTofu is the open source Infrastructure-as-Code engine: a community-driven, MPL-2.0 licensed fork of Terraform that lets you declare your cloud and on-premises infrastructure in HCL configuration files and apply it predictably with a plan-and-apply workflow. This image delivers OpenTofu fully installed and configured as a ready-to-use IaC workstation, so an engineer can SSH in and start managing infrastructure with the tofu command line immediately, with no setup.

    Infrastructure as Code Workstation The tofu binary installed on the system path and verified against the official release checksum. A provider plugin cache placed on a dedicated, independently resizable data disk and exported to every login shell, so downloaded providers are shared across workspaces and persist on durable storage rather than the OS disk. A login banner and an information file describing the layout and how to get started.

    Offline Demo Configuration A self-contained demo configuration ships on the image using only the null and local providers, so you can run init, validate, plan and apply end to end with no cloud credentials and confirm the toolchain works the moment you log in. Copy it, point it at your own providers and start building.

    Plan and Apply Workflow Write your infrastructure in HCL, run a plan to preview every change before it happens, then apply to converge your environment to the desired state. OpenTofu speaks the same provider and module ecosystem engineers already know, supports remote state backends including native S3 state locking, and integrates cleanly into CI and pull-request automation.

    Ready To Use Connect over SSH and run tofu straight away. The plugin cache, demo configuration and environment are already in place, so the first init pulls providers into a shared cache on the data disk and every subsequent workspace reuses them. Build your own configurations or wire the workstation into your pipelines.

    cloudimg Support 24/7 technical support by email and chat. Help with provider and backend configuration, remote state, module structure, migrating from Terraform, CI integration and upgrade planning.

    Use Cases A managed bastion or jump-host for running Infrastructure-as-Code. A CI runner image for plan-and-apply pipelines. A migration workstation for teams moving from Terraform to OpenTofu. A reproducible engineering environment with a pinned, checksum-verified IaC toolchain.

    All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.

    Highlights

    • OpenTofu, the open source MPL-2.0 Terraform fork, preinstalled as a ready-to-use Infrastructure-as-Code workstation with the tofu binary on the system path, verified against the official release checksum, no setup required
    • A provider plugin cache on a dedicated, independently resizable data disk is exported to every login shell, so downloaded providers are shared across workspaces and persist on durable storage rather than the OS disk
    • Ships a self-contained offline demo configuration using the null and local providers so you can init, plan and apply end to end with no cloud credentials, with 24/7 technical support from cloudimg

    Details

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    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 24.04

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    Pricing

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    Try this product free for 7 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.

    OpenTofu | Support by cloudimg

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    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. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
    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.

    Usage costs (800)

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    • ...
    Dimension
    Description
    Cost/hour
    t3.small
    Recommended
    t3.small
    $0.04
    t2.micro
    t2.micro instance type
    $0.04
    t3.micro
    t3.micro instance type
    $0.04
    r6in.large
    r6in.large instance type
    $0.08
    m8idb.12xlarge
    m8idb.12xlarge instance type
    $0.24
    r6idn.2xlarge
    r6idn.2xlarge instance type
    $0.24
    r8a.xlarge
    r8a.xlarge instance type
    $0.12
    c5a.2xlarge
    c5a.2xlarge instance type
    $0.24
    h1.8xlarge
    h1.8xlarge instance type
    $0.24
    r5dn.4xlarge
    r5dn.4xlarge instance type
    $0.24

    Vendor refund policy

    Refunds available on request.

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    Usage information

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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

    Initial release of OpenTofu 1.12.2, the open source Infrastructure-as-Code engine, as a ready-to-use CLI workstation.

    Additional details

    Usage instructions

    Connect via SSH on port 22 as the default login user for your operating system variant (the user guide lists it per variant). This is a headless command-line Infrastructure-as-Code workstation: there is no web interface. Read the welcome notes with: sudo cat /root/opentofu-info.txt. Run tofu version to confirm the toolchain. A self-contained offline demo ships at /opt/opentofu/demo (null + local providers, no cloud credentials needed): copy it somewhere writable, then run tofu init, tofu validate, tofu plan and tofu apply to exercise the workflow end to end. The provider plugin cache is on a dedicated data disk at /var/lib/tofu/plugin-cache and is exported as TF_PLUGIN_CACHE_DIR for every login shell, so providers download once and are shared across all your workspaces. Point your own configurations at your cloud providers and run plan and apply as normal.

    Resources

    Vendor resources

    Support

    Vendor support

    cloudimg provides 24/7 technical support for this product by email and live chat. Our engineers help with deployment, configuration, updates, performance tuning and troubleshooting; critical issues receive a one hour average response. Contact support@cloudimg.co.uk .

    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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