cloudimg Prometheus Monitoring - Pre-Configured AMI

This is a repackaged open source software product wherein additional charges apply for cloudimg support services.

Launch a fully operational Prometheus monitoring and alerting system with no manual installation. This AMI delivers the official Prometheus binary, a dedicated EBS data volume, and a systemd-managed service - all configured and running at first boot. Start collecting metrics and writing alerting rules within minutes of launch.

This is a repackaged open source software product with additional charges for cloudimg support services. Unlike a bare Prometheus install, this AMI eliminates the operational overhead of binary installation, storage configuration, and service management. The dedicated EBS volume architecture means your time series data persists independently of the compute instance, surviving instance stops, restarts, and replacements - a critical advantage over ephemeral or root-volume storage approaches that risk data loss.

• Prometheus Service: Running as a systemd unit, installed from the official prometheus.io binary tarball. Automatic start on boot with restart-on-failure behavior.
• Default Configuration: Ships with a scrape configuration that monitors Prometheus itself, providing immediate visibility into system health.
• Expression Browser: The built-in Prometheus web UI and PromQL query engine are available on port 9090 immediately after launch.
• Alerting Engine: The native alerting engine is ready for rule configuration. Connect to Alertmanager for routing alerts to PagerDuty, Slack, email, or custom webhooks.
• Extensible Scrape Targets: Add EC2 instances, Kubernetes endpoints, application exporters, and custom targets by editing the prometheus.yml configuration file.

• Prometheus TSDB data is stored on a dedicated, independently resizable EBS volume separate from the root filesystem.
• The data directory is mounted at boot via filesystem UUID in fstab, ensuring stable mount behavior across instance reboots and AMI launches.
• Storage retention and compaction are controlled via Prometheus command-line flags, allowing you to tune data lifecycle to your requirements.
• Because the data volume is independent, you can resize storage without replacing the instance or risking data corruption.

Buyers should note that the Prometheus web UI on port 9090 does not include built-in authentication. We recommend restricting access via AWS Security Groups, placing Prometheus behind a reverse proxy with authentication, or using AWS PrivateLink for internal-only access. Configure your VPC security groups to limit inbound traffic on port 9090 to trusted CIDR ranges only.

Buyers should ensure their deployment meets these baseline requirements:

• Ports: Security group must allow inbound TCP on port 9090 for the Prometheus UI and API.
• Storage: The dedicated EBS data volume is provisioned at launch. Resize as needed based on retention period and scrape target count.
• Scaling: Performance depends on the number of active time series and scrape interval. Monitor Prometheus self-metrics for resource saturation.

• Infrastructure Monitoring: Collect CPU, memory, disk, and network metrics from EC2 fleets using node-exporter, with threshold-based alerts routed through Alertmanager to your on-call system.
• Kubernetes Observability: Monitor EKS or self-managed Kubernetes clusters using kube-state-metrics and node-exporter for pod, node, and cluster-level visibility.
• Grafana Dashboard Backend: Use this Prometheus instance as the data source for Grafana dashboards, enabling team-wide visibility into application and infrastructure health.
• Custom Alerting Pipelines: Build multi-condition alerting rules with PromQL expressions and route notifications through Alertmanager to Slack, PagerDuty, or email.
• Cloud Resource Monitoring: Track AWS resource utilization across multiple accounts by scraping CloudWatch exporter metrics into Prometheus.

24/7 technical support by email and live chat. Our engineers assist with Prometheus deployment, PromQL query optimization, alerting rule design, retention tuning, Grafana integration, and troubleshooting. Critical issues receive a one-hour average response time.

To get started, launch the AMI, browse to port 9090, and begin building your monitoring stack. For guided onboarding assistance, contact cloudimg support.

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