This product has charges associated with it for the build, maintenance, and support of the Amazon Machine Image (AMI). Prometheus is an open-source system monitoring and alerting application. We have made it easy for our customers to subscribe to our AMI and start using it in seconds.
This is a repackaged open-source software product wherein additional charges apply for support and for providing it in a simple consumable AMI. Prometheus is an open-source monitoring tool with a time-series database. It is a multi-dimensional data model with time series data identified by metric names and key/value pairs. At GlobalSolutions, we have made it easy for our customers to subscribe to our AMI and start using it immediately with ease. We have installed and configured Prometheus, WMI Exporter, and Grafana.
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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.
Prometheus on Windows Server 2019 by GlobalSolutions with 24/7 Support
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 based on the EC2 instance size you run. Each dimension maps to a different instance type, so your rate changes with the compute, memory, and network capacity you choose. Smaller instances like t2.micro and t2.small suit light monitoring workloads. Mid-range options include t2.medium, t2.large, t2.xlarge, and m4.xlarge. Compute-heavy choices like c3.2xlarge and m4.2xlarge handle larger monitoring loads. All options bill hourly through AWS and run the same preconfigured monitoring stack on Windows Server. You pick the instance size that fits your workload and scaling needs.
Top-of-mind questions for buyers
What specs does each hourly instance type give me?
Each dimension maps to an EC2 instance type with set compute, memory, and network capacity. The t2 options provide burstable general-purpose compute. The m4 options add more memory and steadier performance. The c3.2xlarge favors compute-heavy monitoring. You pay the hourly rate tied to the instance type you launch.
Am I charged when the instance is stopped?
Software charges meter running instance-hours. A fully stopped instance does not accrue hourly software charges. Stopped instances may still incur underlying AWS storage fees for the attached volume. The monitoring stack bills only while the instance is running.
What is included in the running instance besides the monitoring software?
Every instance type runs the same preconfigured stack on Windows Server. This includes Prometheus, the Windows metrics exporter, and a graphing dashboard, all set as auto-starting services. A sample dashboard shows uptime, CPU, memory, network, and disk metrics. You only add your own monitoring targets.
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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.
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