This is a repackaged open source software product wherein additional charges apply for a secure, ready-to-use Grafana 13 and Prometheus monitoring server. Collect metrics and build dashboards and alerts in minutes, with unique passwords for every instance.
Grafana is an open source tool for dashboards and alerts, and Prometheus is an open source system for collecting metrics. Together they let you watch servers, applications and services: CPU, memory, disk, response times, error rates and any custom metric you send. This image gives DevOps and IT teams a working monitoring server in minutes, already wired together, so you can start building dashboards straight away.
What is included: Grafana 13.2.1, Prometheus and Node Exporter on Ubuntu 24.04 LTS. Prometheus is added to Grafana as a data source, and Node Exporter reports this server's own metrics so your first dashboard has data from the start. Security is on by default: no password ships in the image. On first boot every instance sets its own Grafana admin password and a new Grafana secret key, Node Exporter listens only on the server itself, and SSH accepts key-based login only.
What you get on top of the free software: a pre-built and tested image that is ready in minutes, a unique security setup for every server, simple scripts for changing passwords, regular image updates, and help by email whenever you need it. Grafana is open source software licensed under AGPL-3.0, and Prometheus and Node Exporter under Apache-2.0. Grafana is a trademark of Grafana Labs, and Prometheus is a trademark of The Linux Foundation. This image is an independent build by ProvenCloud.
Highlights
Ready in minutes: launch the instance, open Grafana on port 3000 and sign in. Prometheus is already connected as a data source and Node Exporter is already sending this server's metrics.
Secure by default: no shared or default passwords. Every instance sets its own Grafana admin passwords on first boot and a new Grafana secret key is generated, and SSH accepts key-based login only.
Watch everything in one place: build dashboards and alerts for servers, applications and databases, and point Prometheus at more targets as you grow.
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.
Try this product free for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Grafana & Prometheus Monitoring on Ubuntu 24.04 LTS by ProvenCloud [IN]
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. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
You pay by the hour for the EC2 instance you run this machine image on. The software itself carries no license fee, since it bundles open-source packages. Your hourly rate depends only on which instance type you pick. Options span many families, including general-purpose (m, t), compute-optimized (c), memory-optimized (r, x, z), storage-optimized (d, i), and accelerated (g, p, inf, trn) instances. Within each family, larger sizes cost more per hour because they provide more CPU, memory, or other resources. You add AWS compute and storage charges separately. There is no upfront commitment.
Top-of-mind questions for buyers
What do I get for the hourly charge, and does the software add a license fee?
The hourly charge covers the chosen EC2 instance running this machine image. It bundles Grafana, Prometheus, and Node Exporter as open-source packages under AGPL-3.0, with no license key required. You pay AWS separately for compute and storage. The software stack is identical regardless of which instance type you select.
Am I charged when the instance is stopped or paused?
The hourly software rate meters running time. A stopped instance stops accruing the hourly charge. You may still pay AWS for attached storage, such as the 20 GiB gp3 root volume, while the instance is stopped. You resume hourly charges when you start the instance again.
Does picking a larger instance type change what software I receive?
No. Every instance type runs the same image with the same packages and versions. Larger sizes within a family give more CPU, memory, or other resources and cost more per hour. The seller recommends t3a.medium for this image, but you may select any listed type to match your workload.
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Vendor refund policy
Software charges are billed hourly, only while your instance runs. You can stop charges at any time by terminating the instance or cancelling your subscription. Charges already incurred are not refundable.
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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
Latest stable release on AWS Marketplace.
Grafana 13.2.1 with Prometheus and Node Exporter on Ubuntu 24.04 LTS.
A unique Grafana admin password and secret key are set for every instance on first boot.
Includes helper scripts in /home/ubuntu/iscripts for changing passwords and checking status.
Additional details
Usage instructions
Once the instance is running, open Grafana at http://<instance-public-ip>:3000 and sign in with admin as the username and your instance ID as the password. Prometheus is at http://<instance-public-ip>:9090. You can also connect over SSH with the username ubuntu and your Amazon key pair.
Required inbound ports: 22 (SSH), 3000 (Grafana) and 9090 (Prometheus). The Prometheus page has no password, so allow port 9090 and port 22 only from your own IP address.
Your instance ID is shown in the EC2 console, for example i-0123456789abcdef0. Every instance sets its own passwords on first boot, so no two instances share a password. Allow two to three minutes after launch for the first-boot setup to finish before you sign in.
Change your Grafana password after the first sign-in: connect over SSH and run sudo bash /home/ubuntu/iscripts/pass_grafana.sh. grafana_status.sh in the same folder shows versions and service status.
The image serves plain HTTP so it works on a bare IP address. Before using it in production, add your own domain and an SSL certificate, or place it behind a load balancer with HTTPS.
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.
Grafana Cloud is a fully managed, composable observability platform that brings together Prometheus metrics, logs, and traces with Grafana visualizations and integrates with 100+ data sources. Prebuilt dashboards help you get started in minutes monitoring your cloud native infrastructure, services, and applications.
Grafana Kubernetes Monitoring provides a simplified approach that enables you to monitor your Kubernetes fleet. You can use its rich interface to drill into your data, as well as take advantage of preconfigured dashboards, recording rules, and alert rules. Grafana Kubernetes Monitoring is only available with an active Grafana Cloud License.
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.
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