This product has charges associated with it for seller support. Discover MongoDB 7 on Amazon Linux 2023, expertly configured as an AMI for rapid deployment in the EC2 cloud. Benefit from a fully managed, scalable NoSQL database solution that offers enhanced performance, security, and ease of use. Seamlessly integrate with existing applications and leverage advanced features such as document validation and improved indexing. Ideal for developing modern applications, big data processing, and real-time analytics, this solution empowers developers to innovate faster while minimizing operational overhead. With built-in support for sharding and replication, MongoDB 7 ensures high availability and fault tolerance, making it an excellent choice for mission-critical workloads. Take advantage of flexible pricing models and set your applications up for success in the cloud.
This is a repackaged open source software wherein additional charges apply for extended support with a 24 hour response time.
MongoDB 7 on Amazon Linux 2023 offers a robust and scalable NoSQL database solution optimized for cloud environments. With its latest enhancements, this AMI delivers improved performance, increased security, and ease of management, making it ideal for developers and enterprises looking to harness the power of document-oriented storage.
Amazon Linux 2023 Key Features:
Optimized for Performance: Leverage the latest MongoDB 7 features with optimizations that enhance read and write throughput, ensuring your applications run smoothly and efficiently.
Flexible Data Model: Store data in a variety of formats, allowing for seamless integration with diverse applications and use cases, from content management systems to real-time analytics.
Scalability: Easily scale horizontally as your application grows, handling large volumes of data without compromising performance.
Cloud-Native Focus: Built on Amazon Linux 2023, this AMI is tailored for the AWS ecosystem, ensuring compatibility and leveraging advanced AWS features such as auto-scaling and high availability.
Security Enhancements: Benefit from advanced security features, including encryption at rest and in transit, to protect your sensitive data.
Amazon Linux 2023 Benefits:
Rapid Deployment: Launch MongoDB with minimal setup time, enabling you to focus on development rather than configuration.
Reduced Operational Overhead: Simplify maintenance and updates with packaged support options, allowing your team to concentrate on innovation.
Community and Enterprise Support: Access a wealth of resources, documentation, and community-driven assistance, with the option for extended support for mission-critical applications.
Amazon Linux 2023 Use Cases:
Web and Mobile Applications: Ideal for applications requiring high performance and flexible data structures, such as e-commerce platforms and social networking sites.
Analytics and Reporting: Use MongoDB's powerful aggregation framework to analyze vast amounts of data in real time.
Big Data Applications: Scale with ease for big data workloads, effectively managing large sets of unstructured data.
Unlock the potential of your applications with MongoDB 7 on Amazon Linux 2023, designed for both development agility and operational robustness in the cloud.
MongoDB 7 on Amazon Linux 2023 provides an optimized environment for deploying NoSQL databases in the AWS cloud. With native support for Amazon's infrastructure, it ensures seamless integration and high availability. The setup is geared for performance-tuning, offering features like automatic failover, horizontal scaling, and sharding capabilities, making it ideal for scenarios demanding large-scale data handling and real-time analytics.
This pre-configured Amazon Linux 2023 AMI simplifies the installation process, allowing developers and enterprises to readily deploy a fully operational MongoDB instance. It reduces the burden of system administration while benefiting from AWS's scalability and security features. The AMI also includes essential tools for monitoring and management, enhancing the overall experience for database administrators and developers.
Utilizing MongoDB 7 on Amazon Linux 2023 can facilitate various use cases such as big data applications, content management systems, and mobile app backends. The flexibility and schema-less nature of MongoDB align well with modern agile development methodologies. Additionally, it supports diverse data types and rapidly evolving applications, making it a strategic choice for organizations aiming to leverage cloud technologies efficiently.
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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. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
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 a preconfigured MongoDB 7 image running on Amazon Linux 2023. Pricing is not tiered. Instead, each dimension maps to a specific EC2 instance type, and your hourly rate follows the instance you choose. You select from many families and sizes, including general-purpose, compute-optimized, memory-optimized, storage-optimized, and bare-metal options. Larger instances with more CPU and memory carry higher hourly rates. You only pay while an instance runs, so cost scales with the size and runtime of the instances you deploy.
Top-of-mind questions for buyers
What does one hourly unit represent for billing on this listing?
Each unit is one running EC2 instance of the type you select, charged per hour. The rate covers the preconfigured MongoDB 7 image on Amazon Linux 2023 running on that specific instance. You choose the instance family and size, and the hourly rate reflects that choice.
Am I charged when an instance is stopped or paused?
The hourly software rate applies only while an instance runs. Stopping an instance halts the software charge for the listing. Note that underlying AWS storage or other AWS resources tied to a stopped instance may still bill separately under your AWS account.
How do I move to a larger instance if my workload grows?
You launch a new instance of the size you need and pay that instance's hourly rate. Cost is not tiered, so switching between families or sizes simply changes your per-hour rate. You pay only for hours each instance runs, so scaling is driven by the instances you deploy.
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The instance can be terminated at anytime to stop incurring charges
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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.
Version release notes
System updates
Additional details
Usage instructions
Once the instance is running, connect to it using a Secure Shell (SSH) client with the configured SSH key. The default username is 'ec2-user'.
OS commands via SSH: SSH as user 'ec2-user' to the running instance and use sudo to run commands requiring root access.
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.
MongoDB 7 database engine with document-oriented storage model and flexible schema-less data structure
Horizontal Scalability and Sharding
Built-in support for sharding and horizontal scaling capabilities to handle large volumes of data across distributed infrastructure
High Availability and Replication
Automatic failover and replication features ensuring fault tolerance and high availability for mission-critical workloads
Data Security
Encryption at rest and in transit to protect sensitive data with advanced security enhancements
Performance Optimization
Enhanced read and write throughput optimization with improved indexing and aggregation framework for real-time analytics
SELinux Security Enforcement
SELinux enforcement enabled by default for mandatory access control and security policy enforcement
Cloud-Init Automation Integration
Built-in cloud-init support for automated provisioning workflows and instance configuration during deployment
ENA Networking Support
Enhanced Networking Adapter (ENA) support optimized for AWS EC2 high-performance networking capabilities
Automatic Security Updates at Boot
System synchronizes with upstream repositories during first boot to install newest security updates and package revisions
Forward-Looking Development Platform
Continuously delivered Linux distribution that tracks development path leading to future Red Hat Enterprise Linux releases
In-Place Linux Distribution Conversion
Convert2RHEL tooling enables in-place conversion of instances running on rpm-based Linux distributions to Red Hat Enterprise Linux 7 while preserving existing customizations, configurations, and preferences.
Extended Security Support
Extended Life Cycle Support (ELS) provides access to security patches and updates until June 2029, extending support five years beyond the CentOS Linux 7 end-of-life date.
High Availability Support
High Availability tooling and capabilities included for configuring and managing highly available infrastructure and applications.
System Observability and Management
Red Hat Insights integration provides monitoring, analysis, and remediation capabilities for security, stability, and performance issues across workloads, applications, and platforms.
Cross-Infrastructure Consistency
Unified operating foundation supporting consistent management and deployment across physical, virtual, private cloud, public cloud, and edge environments using standardized tools.
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