Sold by: Lynxroute
Deployed on AWS
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This is a repackaged open source software product wherein additional charges apply for hardening, security configuration, and setup support.
Grafana + Prometheus is a complete open-source observability stack - Grafana dashboards backed by a Prometheus time-series database, pre-wired so you can query metrics the moment you log in. This Lynxroute build is hardened and ready out of the box: a unique Grafana admin password generated at first launch, an Nginx TLS reverse proxy on 443, Prometheus bound to localhost only, telemetry disabled, the Prometheus data source provisioned as default, UFW firewall, and a CIS Level 1 hardened Ubuntu 24.04 LTS base.
Grafana OSS is AGPL-3.0; Prometheus is Apache-2.0 - fully auditable, no vendor lock-in.
Overview
This is a repackaged open source software product wherein additional charges apply for hardening, security configuration, and setup support.
WHAT IS GRAFANA + PROMETHEUS
Grafana is a Go-based analytics and visualization platform that turns time-series metrics into interactive dashboards, panels, and alerts; Prometheus is a Go-based monitoring system and time-series database that scrapes and stores metrics over HTTP. In this bundle Grafana is the front door and Prometheus is the metrics backend - the two are pre-connected, with Prometheus added to Grafana as the default data source so you can open Explore and run PromQL queries (for example, "up") immediately. Prometheus scrapes itself and Grafana out of the box and is sized with a 15-day local retention window; add your own scrape targets to monitor application and infrastructure metrics. Grafana persists dashboards, users, and settings in an embedded SQLite database; Prometheus stores samples in its on-disk TSDB. Grafana OSS is AGPL-3.0 and Prometheus is Apache-2.0, so the entire stack is auditable with no vendor lock-in. Running your own stack keeps all metrics and dashboards inside your AWS account.
WHAT THIS AMI ADDS
Security hardening:
- A unique Grafana admin password generated at first launch (the default admin/admin is rotated away)
- Nginx reverse proxy with TLS - Grafana proxied on port 443
- Prometheus (port 9090) bound to localhost only - Grafana is the only exposed UI
- Grafana usage reporting and update checks disabled (no phone-home)
- Prometheus provisioned as the default Grafana data source
- UFW firewall - ports 22, 80, 443 only
- fail2ban, AppArmor
- CVE scan - every image is scanned for vulnerabilities before release
OS hardening (CIS Level 1):
- CIS Ubuntu 24.04 LTS Level 1 benchmark applied via ansible-lockdown
- auditd, SSH hardening, Kernel hardening, IMDSv2 enforced
Compliance artifacts:
- SBOM - CycloneDX 1.6 at /etc/lynxroute/sbom.json
- CIS Conformance Report at /etc/lynxroute/cis-report.html
- CIS Tailored Profile at /usr/share/doc/lynxroute/CIS_TAILORED_PROFILE.md
Highlights
- Grafana security baked in: a unique admin password generated at first launch, Nginx TLS on 443, Prometheus bound to localhost only, and usage reporting disabled.
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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Pricing
Free trial
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.
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.
Dimension | Cost/hour |
|---|---|
m6i.xlarge Recommended | $0.05 |
m6i.2xlarge | $0.05 |
m6i.large | $0.05 |
t3.large | $0.05 |
Dimensions summary
You pay by the hour based on the EC2 instance size you run. All four options deliver the same hardened observability stack; they differ only in compute capacity. The t3.large runs on burstable compute for lighter or variable workloads. The three m6i options scale up general-purpose compute: m6i.large, m6i.xlarge, and m6i.2xlarge each add more CPU and memory. Pick the size that matches your monitoring load. Hourly billing means you pay only while an instance runs, with no upfront commitment. The software fee applies on top of standard AWS infrastructure charges.
Top-of-mind questions for buyers
Each option maps to one running EC2 virtual machine of the named size. The t3.large uses burstable compute, suited to lighter or variable loads. The three m6i sizes offer fixed general-purpose compute, with m6i.large, m6i.xlarge, and m6i.2xlarge adding CPU and memory in steps. You pick one size per instance.
The software fee meters running time only, billed per hour while an instance runs. A stopped instance accrues no software charges. Standard AWS storage fees for attached volumes may still apply while the instance is stopped, since that is separate from the software licence.
The image ships pre-hardened, so no manual security setup is required. It applies CIS Level 1 benchmarks on Ubuntu 24.04 LTS, generates unique credentials at first boot, and bundles a software bill of materials and conformance report inside the instance for audit review.
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We do not offer refunds for this product. AWS infrastructure charges (EC2, EBS, data transfer) are billed separately by AWS and are not refundable by us.
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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
Grafana 13.2.0 + Prometheus 3.14.0
- Prometheus updated 3.12.0 -> 3.14.0 (bundled component). Grafana OSS 13.2.0 is unchanged.
- Fix: scheduled log rotation no longer silently stops Prometheus logging. The unit writes its log via systemd (StandardOutput=append:), so systemd owns the file descriptor; the previous create-based rotation left the running service writing into the old renamed file while the live log stayed empty. Rotation now uses copytruncate, which truncates the same inode and keeps logging working across a rotation.
- Rebuilt on the current CIS Level 1 hardened Ubuntu 24.04 LTS base for the latest Ubuntu security updates.
Additional details
Usage instructions
- Launch instance (m6i.xlarge recommended)
- Open Security Group - allow TCP 443 and TCP 80 from your IP
- SSH: ssh -i key.pem ubuntu@<PUBLIC_IP>
- Read credentials: sudo cat /root/grafana-credentials.txt
- Open https://<PUBLIC_IP> in your browser - accept the self-signed certificate warning
- Log in with the admin user and the generated password from the credentials file
- Go to Explore, select Prometheus, and run a query such as "up" - the data source is already connected
The default admin/admin password is rotated to a unique value at first launch. The Prometheus data source is pre-configured as default; Prometheus listens on localhost only and is reached through Grafana. Credentials are saved to /root/grafana-credentials.txt at first boot. Prometheus keeps 15 days of local metrics by default; add scrape targets in /etc/prometheus/prometheus.yml and run: sudo systemctl reload prometheus Replace the self-signed TLS certificate with a CA-signed certificate (sudo certbot --nginx) for production use.
Resources
Vendor resources
Support
Vendor support
Visit us online: https://lynxroute.com
For Grafana documentation: https://grafana.com/docs/grafana/latest/ For Grafana upstream issues: https://github.com/grafana/grafana/issues For Prometheus documentation: https://prometheus.io/docs/ For Prometheus upstream issues:
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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