Sold by: Gigabits
Deployed on AWS
AWS Free Tier
This is a repackaged open source software product wherein additional charges apply for native tool customization and OS hardening. Includes container health monitoring, resource tracking, and image scanning. Production-ready Docker on the latest Ubuntu LTS.
Overview
Gigabits (GigaOps) 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.
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.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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 hardened Docker on Ubuntu 24 image. Pricing follows the EC2 instance type you launch, not a fixed plan. Each dimension maps to one AWS instance size, from small shared-CPU types like t1.micro to large compute, memory, storage, GPU, and bare-metal types. Hourly rates rise as the instance adds vCPU, memory, or specialized hardware. You pick the instance that fits your workload, and the software hourly fee applies on top of standard AWS infrastructure charges. There is no upfront commitment, so costs scale with the hours you run.
Top-of-mind questions for buyers
Each hourly unit covers one running EC2 instance of the matching type, such as m5.large or c6i.xlarge. You pay the software fee for every hour that instance runs. The rate is tied to the instance size you launch, not to users or data volume.
The software fee meters running hours only. A fully stopped instance does not accrue the hourly software charge. Standard AWS infrastructure charges, such as storage for the instance volume, may still apply separately while it sits stopped.
Your hourly software fee changes to the rate for the new instance type. Larger types with more vCPU, memory, or specialized hardware carry higher hourly rates. The change takes effect when you launch the new instance; there is no commitment tying you to one size.
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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
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'.
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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