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 enterprise oversight.
Overview
GigaOps Container Guard delivers a monitored Docker runtime on Ubuntu 22 with container-aware security 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 22 LTS who need Docker monitoring without a full orchestration platform.
Highlights
- Container health monitoring for Docker on Ubuntu 22. Tracks running containers, restart events, and per-container resource usage with real-time alerts.
- Image vulnerability scanning flags known CVEs. Docker host resource tracking with configurable thresholds. Security hardening applied to Docker daemon on first boot.
- Drift detection on unauthorized Docker changes. One-command diagnostics for container and host health. Enterprise Docker oversight on Ubuntu 22 LTS.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22.04 LTS
Deployed on AWS
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Features and programs
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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 |
|---|---|
t3.small Recommended | $0.09 |
t2.micro | $0.21 |
t3.micro | $0.10 |
t2.xlarge | $0.28 |
t3.xlarge | $0.27 |
t2.2xlarge | $0.55 |
m5.xlarge | $0.26 |
m4.16xlarge | $4.47 |
m4.large | $0.13 |
m4.xlarge | $0.27 |
Dimensions summary
You pay by the hour for this pre-built image, which packages Docker on Ubuntu 22 with Container Guard. Pricing is not tiered by feature. Instead, each dimension maps to a specific AWS EC2 instance type, and you pick the one that matches your compute needs. Rates rise with instance size and capability. Small burstable types like t3.nano sit at the low end. Large memory, compute, GPU, and high-performance types like x8i.96xlarge or p5.48xlarge cost more per hour. You run only the instances you choose, and billing follows your actual usage hours.
Top-of-mind questions for buyers
Each dimension maps to one running AWS EC2 instance of that type, billed per hour. For example, the m5.xlarge rate applies to one m5.xlarge instance running this image. You pay separately for each instance you launch, and the rate matches the instance type you pick.
The hourly software charge applies only while an instance runs. Stopped instances do not accrue the software fee. You may still owe underlying AWS charges, such as storage for attached volumes, but the image meters running hours only.
Your rate follows the instance type you run. Moving from a small burstable type to a larger memory, compute, or GPU type raises the hourly rate. The change is not automatic; you launch the new type yourself, and billing tracks whichever instances are running.
cloudgigabits.com
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Vendor refund policy
The instance can be terminated at anytime to stop incurring charges. No refund available.
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) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
version fixes
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.
To use the Gigabits Ops Agent, follow instructions here: https://gigabits-logos.s3.us-east-1.amazonaws.com/gigabits-ops-agent-usage-instructions.pdf
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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