Sold by: Gigabits
Deployed on AWS
AWS Free Tier
GigaOps Container Guard on Docker (Ubuntu 22). 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 software, billed only while an instance runs. The many options here are not tiers or feature levels. Each one maps to a specific Amazon EC2 instance type, grouped by family such as general purpose (m, t), compute (c), memory (r, x, z), storage (d, i), and accelerated (g, p, inf, trn). Your rate follows the instance size you pick: larger instances with more CPU and memory cost more per hour. Choose the instance that fits your workload, then run it as needed with no upfront commitment.
Top-of-mind questions for buyers
One unit is one running Amazon EC2 instance of the type you choose, charged per hour. The rate bundles the software license for that instance. You pay for each instance-hour it runs. Running several instances at once bills each one separately at its own instance-type rate.
Software charges accrue only while an instance runs. Stopping or terminating the instance stops the hourly software charge. Underlying AWS resources, such as attached storage, may still bill through your AWS account, but the software license meters running time only.
Each instance type maps to a set amount of CPU, memory, and other resources. Larger sizes within a family carry a higher hourly rate. You pick the instance that fits your workload, and the rate follows that choice. There is no upfront commitment.
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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.
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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