GigaOps Container Guard on Docker (Ubuntu 24). Includes container health monitoring, resource tracking, image scanning, and automated hardening. Production-ready Docker on the latest Ubuntu LTS.
GigaOps Container Guard delivers a production-ready Docker environment on Ubuntu 24 with integrated container monitoring built by Gigabits.
Key Features:
Container Health Monitoring: Tracks running containers, restart counts, and per-container resource usage.
Resource Tracking: Real-time host metrics with configurable alerts.
Image Scanning: Flags known vulnerabilities in container images.
Security Hardening: Docker daemon best practices and host firewall on first boot.
Drift Detection: Alerts on unauthorized Docker configuration changes.
One-Command Diagnostics: Run gigaops docker-report for full environment health.
Ideal For: Teams deploying containers on Ubuntu 24 LTS who need built-in Docker oversight and security.
Highlights
Container monitoring for Docker on Ubuntu 24 LTS. Tracks running containers, resource usage, and restart events with real-time alerting.
Image vulnerability scanning and Docker security hardening applied on first boot. Host resource tracking with configurable thresholds for CPU, memory, and disk.
Drift detection on Docker config changes. One-command diagnostics. Production-ready Docker runtime on the latest Ubuntu LTS with enterprise oversight.
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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.
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.
You pay by the hour for this software, billed through the running EC2 instance you choose. Each dimension maps to a specific EC2 instance type, so your rate follows the instance size and family you select. Smaller instances like nano, micro, and large sizes carry lower hourly rates. Larger sizes such as metal and multi-xlarge configurations carry higher rates. The families span general purpose, compute, memory, storage, and accelerated computing options. There are no tiers or upfront commitments. Your cost scales with the number of hours each instance runs and the instance type you deploy.
Top-of-mind questions for buyers
What does one hourly unit cover for this software?
Each hourly unit covers the software running on one EC2 instance of the type you select. You are billed for every hour that instance runs. The rate matches the instance type chosen. Running two instances bills two separate hourly charges at their respective rates.
Am I charged the hourly software fee when my instance is stopped?
The software fee meters running time only. A stopped instance does not accrue software charges. When you restart it, hourly billing resumes at that instance type's rate. Note that AWS may still charge underlying storage fees for a stopped instance, separate from this software.
Do I commit upfront, or is this purely pay-as-you-go?
This is pay-as-you-go. You make no upfront commitment and select no fixed term. Charges accrue only for the hours each instance runs. If you switch to a different instance type, your rate changes to match that type. Cost scales up or down with your actual usage.
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Vendor refund policy
The instance can be terminated at anytime to stop incurring charges. No refund available.
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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
fixed updates
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'.
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.
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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