GigaOps ARM Runtime Monitor on Oracle Linux 9.3. Includes ARM-optimized health checks, resource monitoring, compliance scanning, and security alerts. Purpose-built observability for ARM-based workloads.
GigaOps ARM Runtime Monitor delivers specialized monitoring for ARM-based Oracle Linux 9.3 instances. Built by Gigabits, it provides observability tuned for Graviton and other ARM architectures.
Key Features:
ARM-Optimized Health Checks: Monitoring tuned for ARM processor metrics and performance characteristics.
Resource Monitoring: CPU, memory, disk, and network tracking with alerts.
Compliance Scanning: CIS-aligned checks adapted for Oracle Linux 9.3 ARM.
Security Alerts: Notifications on login failures, service changes, and suspicious activity.
Automated Hardening: First-boot security baselines including firewall and SSH restrictions.
One-Command Diagnostics: Run gigaops report for ARM workload health summary.
Ideal For: Teams running ARM/Graviton workloads on Oracle Linux 9.3 who need architecture-aware monitoring and compliance.
Highlights
ARM-optimized health monitoring for Oracle Linux 9.3 on AWS Graviton. Performance checks tuned for ARM processor characteristics and workload patterns.
Resource monitoring tracks CPU, memory, disk, and network with alerts. CIS-aligned compliance scanning adapted for Oracle Linux 9.3 ARM architecture. Security alerts on suspicious activity.
Automated first-boot hardening. One-command diagnostics for ARM workload health. Purpose-built observability for Oracle Linux 9.3 on Graviton/ARM instances.
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 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 the software running on an Amazon EC2 instance you choose. Each dimension maps to a specific EC2 instance type, so your rate follows the instance you pick. Smaller instances like nano, micro, and medium sizes carry lower hourly rates. Larger instances such as xlarge through metal sizes cost more per hour, matching added compute, memory, and storage. The list spans general purpose, compute, memory, storage, and accelerated instance families, including ARM-based options. You are billed only for the hours the instance runs, with no upfront commitment.
Top-of-mind questions for buyers
What does one hourly unit cover, and what am I actually paying for?
Each hourly unit covers the software running on one Amazon EC2 instance of the type you select. The rate is metered per instance-hour. You pay this software charge on top of the underlying AWS infrastructure cost for that instance. Each running instance meters separately.
Am I charged when my instance is stopped or paused?
The software charge meters running hours only. A fully stopped instance does not accrue software charges. Underlying AWS storage fees for the volume may still apply while stopped, but those are separate from this listing's per-hour software rate.
Why do larger instance types cost more per hour for the same software?
Each dimension maps to a specific EC2 instance type. The rate follows the instance you pick, not extra software features. Larger sizes carry more compute, memory, or storage, so their hourly rate is higher. The software function is the same across all instance types.
cloudgigabits.com
Helpful?
Vendor refund policy
The instance can be terminated at anytime to stop incurring charges. No refunds available.
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Give us feedbackReport a problem with this product or seller
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.
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
Release 1
Additional details
Usage instructions
Ssh to the instance public IP and login as 'ec2-user' user using the key specified at launch time. Use 'sudo su -' in order to get a root prompt. For more information please visit the links below:
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.
nOps is an automated cloud optimization platform, helping organizations save on their cloud bill, increase commitment flexibility & eliminate manual processes
This listing bundles Rocky Linux, ECS-Agent and Docker runtime engine in a single 1-Click deploy ECS-Optimized AMI. Launch this AMI today to get started on your journey to running containers the right way.
Be the first to review this product. We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.