Microsoft Windows Server 2019 with SQL Server 2017 Express is a pre-configured Amazon Machine Image (AMI) offered by Amazon Web Services (AWS). This AMI combines the robust capabilities of Windows Server 2019 with the lightweight, free edition of SQL Server 2017 Express, providing a reliable and cost-effective environment for developing, testing, and deploying applications. Designed for seamless integration with AWS services, this AMI simplifies the setup process, allowing users to focus on their core business objectives without the overhead of manual installations and configurations.
Key Features and Functionality:
- Pre-Configured Environment: The AMI comes fully installed and configured with Windows Server 2019 and SQL Server 2017 Express, reducing the time and effort required for setup.
- Automatic Updates: AWS ensures that the AMI is built, updated, and fully patched within five business days of Microsoft's Patch Tuesday, maintaining security and performance.
- Integrated AWS Tools: The AMI includes AWS Systems Manager, AWS CloudFormation, and AWS Tools for Windows PowerShell, facilitating efficient management and automation of your environment.
- Scalability: Leveraging AWS EC2, users can easily scale their instances to meet varying workload demands.
- Cost-Effective: SQL Server 2017 Express is a free edition, making this AMI a budget-friendly option for small to medium-sized applications.
Primary Value and Problem Solved:
This AMI addresses the challenge of setting up and managing a secure and efficient database environment by providing a ready-to-use solution that integrates seamlessly with AWS infrastructure. It eliminates the complexities associated with manual installations and configurations, allowing developers and IT professionals to deploy applications quickly and reliably. By combining Windows Server 2019 with SQL Server 2017 Express, users benefit from a stable and scalable platform suitable for a wide range of applications, from development and testing to production workloads.
Seller
Amazon Web Services (AWS)Product Description
Microsoft Windows Server 2019 with SQL Server 2017 Express is a pre-configured Amazon Machine Image (AMI) offered by Amazon Web Services (AWS). This AMI combines the robust capabilities of Windows Server 2019 with the lightweight, free edition of SQL Server 2017 Express, providing a reliable and cost-effective environment for developing, testing, and deploying applications. Designed for seamless integration with AWS services, this AMI simplifies the setup process, allowing users to focus on their core business objectives without the overhead of manual installations and configurations.
Key Features and Functionality:
- Pre-Configured Environment: The AMI comes fully installed and configured with Windows Server 2019 and SQL Server 2017 Express, reducing the time and effort required for setup.
- Automatic Updates: AWS ensures that the AMI is built, updated, and fully patched within five business days of Microsoft's Patch Tuesday, maintaining security and performance.
- Integrated AWS Tools: The AMI includes AWS Systems Manager, AWS CloudFormation, and AWS Tools for Windows PowerShell, facilitating efficient management and automation of your environment.
- Scalability: Leveraging AWS EC2, users can easily scale their instances to meet varying workload demands.
- Cost-Effective: SQL Server 2017 Express is a free edition, making this AMI a budget-friendly option for small to medium-sized applications.
Primary Value and Problem Solved:
This AMI addresses the challenge of setting up and managing a secure and efficient database environment by providing a ready-to-use solution that integrates seamlessly with AWS infrastructure. It eliminates the complexities associated with manual installations and configurations, allowing developers and IT professionals to deploy applications quickly and reliably. By combining Windows Server 2019 with SQL Server 2017 Express, users benefit from a stable and scalable platform suitable for a wide range of applications, from development and testing to production workloads.
