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    Docker on Ubuntu 16 with Container Guard

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    Sold by: Gigabits 
    Deployed on AWS
    AWS Free Tier
    This is a repackaged open source software product wherein additional charges apply for custom operational agents. Includes container health monitoring, resource tracking, image vulnerability scanning, and security hardening. Managed Docker runtime with built-in oversight.

    Overview

    GigaOps Container Guard delivers a monitored Docker runtime on Ubuntu 16 with container-aware security tooling built by Gigabits.

    Key Features:

    • Container Health Monitoring: Tracks running containers, restart counts, and resource usage per container.
    • Resource Tracking: Real-time CPU, memory, and disk metrics for the Docker host.
    • Image Scanning: Alerts on known vulnerabilities in pulled container images.
    • Security Hardening: Docker daemon configured with security best practices on first boot.
    • Drift Detection: Alerts on unauthorized Docker configuration changes.
    • One-Command Diagnostics: Run gigaops docker-report for host and container health.

    Ideal For: Teams running containerized workloads on Ubuntu 16 who need Docker monitoring without a full orchestration platform.

    Highlights

    • Container health monitoring for Docker on Ubuntu 16. Tracks running containers, restart events, and per-container resource usage from a single dashboard.
    • Docker host resource tracking with alerts. Image vulnerability scanning flags known CVEs in pulled images. Security hardening applied to Docker daemon on first boot.
    • Drift detection on Docker configuration changes. One-command diagnostics for host and container health. Managed Docker runtime on Ubuntu 16 with built-in oversight.

    Details

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    Delivery method

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

    Latest version

    Operating system
    Ubuntu 16

    Deployed on AWS
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    Pricing

    Docker on Ubuntu 16 with Container Guard

     Info
    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 (37)

     Info
    Dimension
    Cost/hour
    t2.xlarge
    Recommended
    $0.14
    t2.micro
    $0.20
    t3.micro
    $0.06
    t3.nano
    $0.06
    vt1.24xlarge
    $4.47
    t3a.nano
    $0.06
    t3a.medium
    $0.13
    t3.2xlarge
    $0.55
    t3.medium
    $0.13
    t2.nano
    $0.06

    AI Insights

     Info

    Dimensions summary

    You pay by the hour for the software running on your chosen Amazon EC2 instance type. There is no upfront commitment. Pricing scales with the instance size you select, not with a plan or feature tier. The dimensions cover several instance families: general-purpose burstable types (t1, t2, t3, t3a), older general-purpose types (m1, m2, m3, m5), and video transcoding types (vt1). Within each family, hourly rates rise as compute capacity grows, from nano and micro sizes up to larger 2xlarge and 24xlarge sizes. You match the instance to your workload needs.

    Top-of-mind questions for buyers

    One unit is one running EC2 instance of the type you select, billed per hour. The rate covers the software plus the Ubuntu 16 operating system image with Container Guard. Each running instance meters separately. Underlying AWS infrastructure charges apply on top and appear on the same invoice.
    Hourly software charges apply only while an instance runs. Stopped instances do not accrue software charges. However, stopped instances may still incur AWS storage fees for attached volumes. The software licence meters running hours only, so shutting an instance down halts the software portion of your bill.
    Your hourly rate follows the instance type you run at any given time. Moving from a smaller size to a larger one raises the rate only for hours the larger instance runs. There is no plan upgrade or tier commitment. You can mix sizes across separate instances as needed.
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    Helpful?

    Vendor refund policy

    The instance can be terminated at anytime to stop incurring charges. No refund available.

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

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    Usage information

     Info

    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

    first release

    Additional details

    Usage instructions

    1. Connect to the instance via SSH:

    • Once your instance is running, connect to it using an SSH client with the private key you configured during launch.

    • The default username for Ubuntu-based instances is ubuntu.

      Example SSH command:

      ssh -i /path/to/your-key.pem ubuntu@<instance-public-ip>

    2. Run OS commands via SSH:

    • After logging in, use sudo to run commands that require root access.

    3. Test Docker installation:

    • To verify that Docker is installed and running properly, run the following command: sudo docker run hello-world This will pull the hello-world image and run it, displaying a message indicating that Docker is working correctly.

    Support

    Vendor support

    please contact support@gigabitscloud.com  for any inquiries

    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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