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This product has charges associated with it for seller support. MongoDB on RHEL 9 offers a powerful and flexible solution for developers seeking to build data-driven applications in the AWS cloud. This Amazon Machine Image (AMI) is optimized for performance, reliability, and ease of use, providing an ideal environment for deploying MongoDB on Red Hat Enterprise Linux 9. Benefit from advanced security features, automated backups, and seamless integration with other AWS services, enabling you to scale your applications effortlessly. Ideal for businesses managing large datasets, the AMI supports a variety of use cases, including real-time analytics, content management, and IoT applications. Experience the high availability and robust architecture that MongoDB offers while leveraging the extensive support and resources available through RHEL 9.
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Overview
This is a repackaged open source software wherein additional charges apply for extended support with a 24 hour response time.
MongoDB on RHEL 9 offers a robust NoSQL database solution that excels in scalability and flexibility, making it ideal for modern application development. Built on Red Hat Enterprise Linux 9, this highly available AMI provides a stable and secure environment for deploying MongoDB.
Key Features:
- Performance Optimization: Tailored for high throughput and low latency workloads, perfect for real-time analytics and large-scale applications.
- Scalability: Easily scale your database horizontally by adding more servers to handle increasing workloads without downtime.
- Flexible Data Model: Store and retrieve data in a JSON-like format, which allows for easy integration with various data sources and structures.
Benefits:
- Enterprise Support: Purchase extended support options for assistance with setup, maintenance, and troubleshooting, ensuring minimal disruption to your operations.
- Security Enhancements: Leverage RHEL 9's security features, including SELinux and kernel hardening, to protect sensitive data.
- Community and Ecosystem: Benefit from a vibrant community and a wide range of libraries, drivers, and tools that enhance MongoDB's functionality and ease of use.
Use Cases:
- Web Applications: Ideal for applications requiring rapid development cycles that can benefit from agile data handling.
- Big Data: Perfect for processing and analyzing massive data sets in real time due to its powerful indexing and querying capabilities.
- Content Management Systems: Easily manage diverse content types (text, images, and videos) with flexible schema designs.
Power your applications with MongoDB on RHEL 9, leveraging the combined strength of cutting-edge database technology and a robust operating system.
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Highlights
- MongoDB on RHEL 9 provides a robust NoSQL database solution that excels in handling large volumes of unstructured data. With its flexible schema design, developers can easily iterate on application requirements without needing to perform costly database migrations. This agility makes it ideal for modern applications, especially in scenarios involving rapid development cycles and evolving data models, ensuring businesses can meet dynamic market demands effectively.
- Built with enterprise features, MongoDB on RHEL 9 supports high availability through replica sets and sharding for horizontal scaling. This configuration allows organizations to distribute their database load across multiple servers, enhancing performance and resilience. Consequently, businesses can ensure uninterrupted application access even during peak loads or maintenance operations, thereby optimizing user experience and operational efficiency.
- Integrating MongoDB on RHEL 9 within cloud environments allows seamless deployment and management, leveraging orchestration tools like Kubernetes for containerized applications. Developers benefit from reduced time-to-market with streamlined operations. Additionally, extensive documentation and community support make it easier for teams to implement best practices and troubleshoot issues, ultimately fostering innovation and collaboration across development and operations teams.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Rhel 9
Typical total price
This estimate is based on use of the seller's recommended configuration (t3.xlarge) in the US East (N. Virginia) Region. View pricing details
$0.504/hour
Pricing
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 covering 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.
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Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t1.micro | $0.07 | $0.03 | $0.10 |
t2.micro AWS Free Tier | $0.21 | $0.026 | $0.236 |
t2.small | $0.07 | $0.038 | $0.108 |
t2.medium | $0.14 | $0.075 | $0.215 |
t2.large | $0.14 | $0.122 | $0.262 |
t2.xlarge | $0.28 | $0.243 | $0.523 |
t2.2xlarge | $0.56 | $0.486 | $1.046 |
t3.micro AWS Free Tier | $0.07 | $0.039 | $0.109 |
t3.small | $0.07 | $0.05 | $0.12 |
t3.medium | $0.14 | $0.07 | $0.21 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp3) volumes | $0.08/per GB/month of provisioned storage |
Vendor refund policy
Fees for this product are not refundable. The instance can be terminated at any time to stop incurring charges.
Legal
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) .
Content disclaimer
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.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
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.
Verify Install: sudo mongod --version
Start using: sudo mongosh
Resources
Vendor resources
Support
Vendor support
Email support for this AMI is available through the following: https://supportedimages.com/support/ OR support@supportedimages.com
AWS infrastructure support
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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