GigaOps Database Monitor delivers SQL Server 2019 Enterprise on Windows 2019 with integrated database operations monitoring built by Gigabits.
Key Features:
Query Performance Alerts: Detects slow queries, deadlocks, and blocking.
Backup Validation: Verifies backups are complete and restorable.
Login Auditing: All authentication attempts logged.
Storage Monitoring: Database file growth and disk capacity alerts.
Security Hardening: Firewall and SQL port management on first boot.
Diagnostics: gigaops sql-report for health summary.
Ideal For: Enterprises running SQL Server 2019 Enterprise needing database monitoring without dedicated DBA tools.
Highlights
Query performance monitoring for SQL Server 2019 Enterprise on Windows 2019. Detects slow queries, deadlocks, and blocking with actionable diagnostics.
Backup validation and login auditing. Storage monitoring with early-warning alerts. All authentication attempts logged for compliance.
SQL Server Enterprise deployed with security hardening. One-command diagnostics. Enterprise-grade database oversight on Windows 2019.
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 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 for this software, packaged as a ready-to-launch AWS machine image running SQL Server 2019 Enterprise. Pricing is not tiered by features. Instead, each dimension maps to a specific Amazon EC2 instance type, and your rate depends on which instance you choose. Options span general-purpose (M, T), compute-optimized (C), memory-optimized (R, X, Z, U), storage-optimized (D, I, H), and accelerated (G, P, Inf, Trn) families, across many sizes from nano to metal. Larger instances with more CPU, memory, or specialized hardware bill at higher hourly rates. You only pay for the hours you run.
Top-of-mind questions for buyers
What exactly am I paying for with each hourly instance-type dimension?
Each dimension bills the software running on one Amazon EC2 instance of that named type, charged per hour it runs. The rate reflects that instance's CPU, memory, storage, and any accelerator hardware. You launch the machine image, and metering starts when the instance runs.
Am I charged when my instance is stopped or paused?
The software rate meters running hours only. A stopped or paused instance does not accrue software charges. Underlying AWS storage fees for the attached volume may still apply while the instance is stopped, but those are separate from the software meter.
If I switch to a bigger instance type, how does my bill change?
Your rate follows whichever instance type you run. Move to a larger size or a specialized family, and the hourly software rate for that type applies for the hours it runs. There is no upgrade fee or automatic tier jump; you pay the rate of the instance you launch.
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Vendor refund policy
No refunds, instance can be terminated at any time.
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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).
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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.
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.
Below is a step-by-step process on using SQL Server with Windows on AWS.
1. Getting Started with Windows on AWS
You can learn more about Windows usage on AWS through this AWS Windows page. This page contains resources on deploying Windows-based EC2 instances, licensing options, and using Microsoft services on AWS.
2. Logging in as Administrator
To log in to your AWS Windows instance as an Administrator, follow these steps:
Use the private key (.pem) file you generated when you created your EC2 instance to decrypt the Administrator password.
After obtaining the password, you can use it to log in to your Windows instance through Remote Desktop (RDP).
3. Launch SQL Server
To open SQL Server, go to the Start Menu and search for SQL Server, then select SQL Server 2019 Configuration Manager. SQL Server 2019 will be launched.
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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SQL Server on AWS has lower TCO, higher performance, and the broadest and deepest capabilities. This SQL Server Amazon Machine Images (AMI) is built by Amazon Web Services (AWS) for use on Amazon EC2, the proven, reliable, and secure place for SQL Server.
SQL Server on AWS has lower TCO, higher performance, and the broadest and deepest capabilities. This SQL Server Amazon Machine Images (AMI) is built by Amazon Web Services (AWS) for use on Amazon EC2, the proven, reliable, and secure place for SQL Server.
SQL Server on AWS has lower TCO, higher performance, and the broadest and deepest capabilities. This SQL Server Amazon Machine Images (AMI) is built by Amazon Web Services (AWS) for use on Amazon EC2, the proven, reliable, and secure place for SQL Server.