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    Oracle Linux 9 with Github Actions Runner by TLC

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    Deployed on AWS
    AWS Free Tier
    This product has charges associated with it for Github Actions self-hosted runner software, custom rc-local and cloud-init integration on Oracle Linux 9.7. Automatically grows filesystem for larger volume sizes at launch. Configured to read user-data for automatic Github runner registration via GH API, or can be registered without user-data via SSH command-line and registration token obtained from Github.com UI.

    Overview

    This is a repackaged open source, enterprise-class operating system software product wherein additional charges apply for: custom rc-local.service; custom initramfs to support auto-expanding root filesystem; standard cloud-init to read user-data; Github Actions self-hosted runner software integration; and TLC email technical support, all on Oracle Linux version 9.7. The AMI starts with one lean 14Gb volume that can automatically grow the Oracle Linux 9 root filesystem for much larger volume sizes via custom rc.local service, as cloud-init can't do that for lvm based root filesystems. Because it is the root filesystem, it can grow for system software as well as user software and big data, as needed. The AMI has the added feature of having pre-installed Github Actions software (over 1Gb unzipped) to instance based servers and gh-runner user added (in addition to the OS user, ec2-user), which saves teams considerable time and expense (via reduced disk I/O at launch) in adding and maintaining Github Actions self-hosted runners. Though configured with cloud-init to read user-data for automatic Github runner registration and deregistration via GH API (documentation available) at first boot, it can also be registered without user-data via SSH command-line with registration token (and instructions) obtained from Github.com UI. GH runner configuration can also be achieved via pre-installed SSM agent, which is capable of supporting SSM's Session Manager (SM), though additional policy and instance profile (not provided) is needed for SSM-SM access. When used with the free public domain TLC terraform for automatic runner deployments via GH Webhook and AWS Lambda (documentation also available), the webhook allows GitHub users to dynamically provision and register (or reregister) instance based self-hosted runners (not containerized runners) for their workloads. Updates to the terraform plan often replaces the need to constantly update the AMI itself. The terraform plan creates the lambda function that allows setting a maximum number of self-hosted instances, which repo gets a webhook, size of the root volume, as well as creates instance user-data that enables dynamic self-hosted runner registration. Dynamic provisioning via webhook and lambda helps to avoid expensive and overly complicated containerized Kubernetes clusters and clunky auto-scaling groups to achieve the same. Unlike Github's hosted runners, these self-hosted runners are not ephemeral, allowing users opportunity to save custom added programs, libraries and data (via EBS snapshots) before they are terminated. Run only as spot instances, they often 'become' ephemeral as spot instances themselves are ephemeral and spawning new spot runners with the same name is gracefully handled by (the terraform instance userdata provisioned) Github APIs. TLC's terraform plan also creates policy and profile to support SSM-SM at launch without additional manual configuration.

    Highlights

    • Technology Leadership's Github Actions runner features Oracle 9.7 and Github Actions runner software and user pre-installed. It is a lean and fast machine that is a 'shell' executor that can handle BASH or PYTHON tasks out-of-the-box, but can accommodate most (Linux compatible) programming languages like Java, NodeJS, Go, PHP, etc, which can be installed via your github actions workflows, as needed.
    • The server can be registered as a runner with standard 'manual' instructions obtained from the github.com UI, skipping the (time-consuming) need to install software or add a gh-runner user. Tokens and configuration can be added via user-data, as well. Best of all, it is designed to be used with TLC terraform which creates a GH webhook and AWS Lambda function that will utilize this AMI for fully automated and dynamic runner provisioning based on a repository 'push', 'merge', etc.
    • Works in all regions, only 1 penny per hour for ANY SIZE instance, no backdoors or 'bug' data sending, hourly or monthly payment options available.

    Details

    Delivery method

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

    Latest version

    Operating system
    OtherLinux Oracle Linux 9.7

    Deployed on AWS
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    Pricing

    Oracle Linux 9 with Github Actions Runner by TLC

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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.
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    Usage costs (556)

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    • ...
    Dimension
    Cost/hour
    t3.micro
    Recommended
    $0.01
    t2.micro
    $0.01
    c7i-flex.12xlarge
    $0.01
    d3en.4xlarge
    $0.01
    c5.24xlarge
    $0.01
    c3.xlarge
    $0.01
    m5dn.24xlarge
    $0.01
    inf1.xlarge
    $0.01
    r6idn.32xlarge
    $0.01
    c5ad.16xlarge
    $0.01

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    We do not offer refunds on paid hourly or yearly purchases. You may cancel hourly charges at any time to avoid future charges.

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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

    Additional details

    Usage instructions

    To connect to the operating system, use SSH. the keypair you specified at launch, and the username ec2-user Switch to root user with 'sudo su -'

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