Sold by: Cloud Ops Group
Deployed on AWS
AWS Free Tier
Pre-configured Prometheus AMI by Cloud Ops Group for AWS infrastructure monitoring, alerting, and metrics collection. Deploy in minutes.
Overview
Pre-Configured Prometheus Monitoring AMI by Cloud Ops Group
Gain full-stack infrastructure visibility with a ready-to-deploy Prometheus AMI built and maintained by Cloud Ops Group. Instead of spending hours installing and configuring Prometheus from scratch, launch a production-ready monitoring instance on AWS in minutes.
Why Choose This AMI Over Self-Installation?
Cloud Ops Group packages Prometheus with AWS-native integrations and operational best practices so your team can focus on insights rather than setup. This AMI is designed for DevOps engineers, SRE teams, and platform engineers who need reliable infrastructure monitoring without the overhead of manual deployment.
Key Capabilities
- Multi-dimensional data model - Identify time series by metric name and key/value pairs for granular analysis and faster root-cause identification
- PromQL query language - Slice and aggregate metrics flexibly to reduce mean time to resolution during incidents
- Autonomous single-server architecture - No distributed storage dependencies, reducing operational complexity and infrastructure cost
- Pull-based collection over HTTP - Scrape targets automatically with minimal network configuration
- Push gateway support - Accommodate short-lived batch jobs that cannot be scraped directly
- Service discovery - Automatically detect EC2 instances and other AWS resources as monitoring targets
- Multiple visualization options - Connect to Grafana dashboards for rich data visualization and reporting
AWS Integrations
This Prometheus AMI works seamlessly with key AWS services:
- Amazon EC2 Service Discovery - Automatically discover and monitor EC2 instances without manual target configuration
- Amazon CloudWatch - Use the CloudWatch Exporter to pull AWS service metrics into Prometheus for unified monitoring
- Grafana on AWS - Visualize Prometheus metrics with Grafana dashboards for comprehensive data visualization
- Alertmanager - Route alerts to Amazon SNS, PagerDuty, or other notification channels
Use Case: Monitoring a SaaS Platform on AWS
An engineering team running a microservices architecture on EC2 can deploy this AMI to collect metrics across all instances using EC2 service discovery. PromQL queries surface latency spikes and resource saturation, while Alertmanager routes critical notifications to on-call engineers. Grafana dashboards provide real-time visibility into system health, helping teams reduce incident response time.
Security and Configuration
The AMI includes TLS support for securing metric transport and API access. Authentication can be configured for the Prometheus UI and API endpoints to restrict unauthorized access. We recommend deploying within a private VPC subnet with security groups limiting inbound access to authorized networks only.
Getting Started
- Subscribe to the AMI through AWS Marketplace
- Launch an EC2 instance using the AMI
- Configure security groups to allow access on port 9090
- Access the Prometheus UI and begin configuring scrape targets
- Connect Grafana for dashboard visualization
For a guided deployment consultation or product demonstration, visit https://www.cloudopsgroup.com/services/prometheus/ to schedule a call with the Cloud Ops Group team.
Highlights
- Pre-configured Prometheus AMI that deploys on AWS in minutes, eliminating manual installation and configuration. Includes service discovery for EC2 instances, PromQL query language for flexible metric analysis, and push gateway support for batch jobs. Built and maintained by Cloud Ops Group with ongoing updates and dedicated support.
- Integrates with AWS services including Amazon EC2 service discovery for automatic target detection, CloudWatch Exporter for unified AWS metrics collection, and Grafana for rich data visualization dashboards. Route alerts through Alertmanager to Amazon SNS, PagerDuty, or your preferred notification channels for rapid incident response.
- Autonomous single-server architecture requires no distributed storage dependencies, reducing operational complexity and infrastructure cost. TLS support secures metric transport and API access. Deploy within a private VPC subnet with security groups for network isolation. Ideal for DevOps engineers, SRE teams, and platform engineers monitoring cloud infrastructure.
Details
Sold by
Categories
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Debian trixie
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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 |
|---|---|
t3a.medium Recommended | $0.004 |
t2.micro | $0.001 |
t3.micro | $0.001 |
c3.large | $0.011 |
c3.xlarge | $0.021 |
c3.2xlarge | $0.042 |
c3.4xlarge | $0.084 |
c3.8xlarge | $0.168 |
c4.large | $0.01 |
c4.xlarge | $0.02 |
Dimensions summary
You pay by the hour for the software running on an Amazon EC2 instance. There is no upfront commitment. Your cost depends on the EC2 instance type you choose, and each instance size carries its own hourly rate. The listing covers many instance families, including compute-optimized (C), general-purpose (M), memory-optimized (R and X), storage-optimized (D, I, H), and accelerated GPU/FPGA options (G, P, F, DL). Larger instances within a family cost more per hour because they provide more compute, memory, or storage. Pick the instance that fits your monitoring workload.
Top-of-mind questions for buyers
The hourly rate covers the Prometheus monitoring software packaged in the AMI. You also pay the standard AWS charge for the EC2 instance you run it on. These are separate charges. The software fee is tied to the instance type you launch.
Hourly software charges apply only while the instance runs. A stopped instance does not accrue software fees. You may still pay AWS for attached storage, such as the disk holding your Prometheus data, even when the instance is off.
Each instance type has its own hourly software rate. Larger sizes provide more CPU, memory, or storage, so they carry a higher rate. Since Prometheus runs on autonomous single server nodes, you pick one instance sized to your metric volume and query load.
www.cloudopsgroup.com
Helpful?
Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
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
Prometheus 2.53.3, Updated Linux kernel and system packages.
Additional details
Usage instructions
- To get started, create an SSH tunnel into your instance as the ec2-user user with: ssh -i /path/to/mykey.pem <ec2-user@ec2-111-111-111-111.compute-1.amazonaws.com> -L9090:localhost:9090
- Prometheus is already running and listening on port 9090.
- Edit "/etc/prometheus/prometheus.yml" if you want to change options.
- Restart server with "/etc/init.d/prometheus restart"
Resources
Vendor resources
Support
Vendor support
Cloud Ops Group Support
Cloud Ops Group provides technical support for the Prometheus AMI Monday through Friday, 9:00 AM - 5:00 PM (business hours). Please allow up to 24 hours for initial response during business days.
Support Channel: Visit https://www.cloudopsgroup.com/services/prometheus/ to submit support requests or schedule a consultation.
What is Covered:
- Assistance with AMI deployment and initial configuration
- Troubleshooting Prometheus service issues
- Guidance on integrating with AWS services (EC2 service discovery, CloudWatch Exporter, Grafana)
- Questions about PromQL queries and alerting rules
- Requesting refunds or billing inquiries
Getting Help: When submitting a support request, please include your AWS account ID, EC2 instance ID, and a description of the issue you are experiencing. This helps our team diagnose and resolve problems more quickly.
For deployment consultations or guided demonstrations, contact Cloud Ops Group through the services page linked above.
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.
Similar products
This product has charges associated with it for seller support. Grafana on Ubuntu 22.04 LTS is a powerful, open-source analytics and monitoring platform that enables users to visualize and analyze their data seamlessly. With its intuitive dashboard, users can create, explore, and share interactive graphs while integrating with various data sources, including Prometheus, Elasticsearch, and more. Ideal for DevOps teams and data engineers, this AMI allows for quick deployments in the AWS EC2 cloud, ensuring scalability and flexibility for monitoring applications. Additionally, leveraging Ubuntu 22.04 LTS provides a stable and secure environment, with long-term support, making it perfect for production workloads. Enhance your data observability and operational efficiency with this robust Grafana solution designed for the cloud.
DevOps Stack by Intuz provides a comprehensive suite of pre-configured tools on AWS, enabling teams to setup DevOps infrastructure in minutes. Includes Docker, Kubernetes, Jenkins, Terraform, Ansible, Prometheus, and Grafana.
This product has charges associated with it for seller support. Experience the power of open-source observability with Grafana, fully optimized and supported by Meetrix.io
This product has charges associated with it for seller support if opted in the future.
A fully managed Prometheus and Grafana monitoring stack designed for AWS environments. This solution provides real-time metrics collection, intuitive dashboards, and intelligent alerting to help teams quickly identify system issues, optimize performance, and maintain high availability. Ideal for EC2, EKS, ECS, Lambda, and hybrid workloads.
Deploy a fully managed, secured, and optimized Prometheus monitoring stack in minutes. Includes automated Docker setup, SSL support, and optional domain mapping for seamless production monitoring.
Customer reviews
No customer reviews yet
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.