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This product has charges associated with it for seller support. OpenJDK 11 on AlmaLinux 8 provides a robust, enterprise-ready environment for developing and running Java applications in the cloud. Leveraging the stability and performance of AlmaLinux 8, this Amazon Machine Image (AMI) offers seamless compatibility with Java 11 features, ensuring developers can take full advantage of the latest language enhancements. The AMI is pre-configured for optimal performance, allowing for quick deployment of Java applications, microservices, or containerized solutions. With security updates and long-term support, this image caters to both development and production workloads, making it ideal for organizations looking to modernize their Java environments while leveraging the scalability and reliability of AWS EC2.

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This product has charges associated with it for seller support. PostgreSQL on Debian 9 provides a robust, high-performance database solution ideal for developers and enterprises seeking a reliable open-source relational database management system. With its advanced features, including ACID compliance, rich data types, powerful indexing capabilities, and support for complex queries, PostgreSQL is perfect for handling large volumes of data across various business applications. Easy to deploy via Amazon EC2, this AMI offers seamless integration with AWS services, ensuring scalability and security. Ideal use cases include data warehousing, web development, and enterprise-level applications that demand reliable data integrity and performance. Leverage the stability of Debian 9 paired with PostgreSQL's capabilities to drive your data-driven projects forward efficiently.

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This product has charges associated with it for seller support. The Golang(Go) on CentOS 9 AMI offers a robust environment optimized for building, deploying, and managing Go applications in the AWS EC2 cloud. Pre-configured with the latest version of Go and CentOS 9, this image simplifies the setup process, allowing developers to focus on coding and innovation. It supports concurrent programming, making it ideal for high-performance web services, microservices, and cloud-native applications. Users can benefit from built-in tooling for testing and package management, facilitating seamless development workflows. Leverage the power of Go on a stable operating system to enhance scalability and maintainability of your projects while ensuring compatibility with a variety of popular frameworks and libraries. Perfect for development teams looking to maximize productivity in a cloud environment.

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This product has charges associated with it for seller support. The Ruby on Rails on CentOS 9 AMI provides a robust and scalable environment for developing and deploying web applications using the powerful Ruby on Rails framework. Bundled with the latest CentOS 9, this AMI ensures enhanced performance and security for your applications. With pre-installed components such as PostgreSQL, Nginx, and Bundler, developers can focus on building applications without the hassle of manual setup. Ideal for both production and development environments, it supports seamless integration with AWS services like RDS and S3, enabling efficient data management and storage solutions. Leverage the power of Ruby on Rails to create dynamic and database-driven websites while benefiting from the stability and reliability of CentOS.

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This product has charges associated with it for seller support. Experience the latest in Java technology with the OpenJDK 21 Java 21 Oracle Linux 8 AMI, designed for seamless deployment on Amazon EC2. This image offers a robust and secure environment optimized for high-performance Java applications, including support for Java's newest features and improvements. Users can leverage this AMI to build, test, and run applications with enhanced performance and reduced resource consumption. Ideal for developers and organizations migrating to the latest Java version or seeking a reliable foundation for enterprise-level applications, this AMI ensures easy scaling and integration with other AWS services. Maximize efficiency and accelerate your development lifecycle with this powerful solution tailored for modern cloud infrastructures.

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This product has charges associated with it for seller support. The Django on CentOS 9 AMI offers a robust environment for deploying scalable web applications. Pre-configured with the latest stable version of Django, this AMI streamlines the setup process, allowing developers to focus on building rather than configuring. Leveraging the power of CentOS 9, known for its stability and security, users can ensure their applications run smoothly in a production-ready environment. Ideal for web developers and startups, this AMI supports rapid development cycles and easily integrates with other AWS services, enhancing scalability and reliability. With built-in support for Python 3 and common database engines, it is perfect for building APIs and dynamic content-driven sites. Get started quickly and efficiently with this tailored solution on EC2.

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This product has charges associated with it for seller support. Redis on Oracle Linux 8 offers a high-performance, in-memory data structure store, ideal for use cases requiring rapid caching, real-time analytics, and data persistence. Built on the robust Oracle Linux 8 environment, this AMI ensures performance optimization, security, and compatibility with enterprise applications. Leverage its advanced features like data replication, Pub/Sub messaging, and Lua scripting capabilities to enhance your microservices architecture or improve user experience with low-latency data retrieval. Whether you're working on e-commerce platforms, gaming leaderboards, or real-time data processing, Redis on Oracle Linux 8 provides the reliability and scalability your applications demand. Deploy it effortlessly on EC2 and unlock enhanced performance for your cloud-based solutions today.

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This product has charges associated with it for seller support. The Ruby on CentOS 9 AMI is designed to provide developers with a powerful, modular platform for building robust web applications. Pre-configured with the latest stable release of Ruby and essential libraries, it enables seamless deployment and scaling within the Amazon EC2 environment. This AMI offers enhanced security features and performance optimizations suitable for both production and development use cases. Ideal for Ruby on Rails projects, API development, and microservices, users can easily customize their environment to suit specific requirements. With built-in support for popular Ruby gems and tools, this AMI allows developers to quickly and efficiently create, test, and iterate on their applications while minimizing downtime and operational costs.

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This product has charges associated with it for seller support. The Deep Learning OSS Nvidia Driver AMI (Amazon Linux 2) Version 79.0 provides an optimized environment for deploying cutting-edge deep learning applications in the AWS EC2 cloud. With pre-installed NVIDIA drivers, TensorFlow, PyTorch, and other essential libraries, this AMI enables developers to accelerate model training and inference seamlessly. The robust support for GPU instances facilitates high-performance computing tasks, making it ideal for data scientists, researchers, and machine learning engineers. Users can leverage the scalability of AWS infrastructure to manage workloads of any size, ensuring efficient resource utilization. Whether you're building complex neural networks or analyzing massive datasets, this AMI simplifies the deployment process, allowing you to focus on innovation and experimentation.

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This product has charges associated with it for seller support. The Deep Learning Base Proprietary Nvidia Driver AMI (Amazon Linux 2) Version 64.9 is engineered for seamless deployment of deep learning applications in the Amazon EC2 cloud. Pre-configured with the latest Nvidia drivers, this AMI ensures optimized GPU performance, making it ideal for both research and production environments. Users can effortlessly launch and scale their deep learning models using popular frameworks such as TensorFlow, PyTorch, and MXNet. With built-in support for CUDA and cuDNN, developers can accelerate their workloads and reduce time to market. This AMI is particularly beneficial for data scientists, machine learning engineers, and organizations looking to harness the full potential of NVIDIA GPUs while leveraging the flexibility of the AWS infrastructure.