Sold by: Cloudwrxs
Deployed on AWS
This product has charges associated with it for Cloudwrxs Solution with MongoDB on RHEL 8 delivers a flexible, document-based NoSQL platform ideal for modern web, mobile, and enterprise applications. Designed for scalability and high availability, MongoDB enables seamless integration of dynamic JSON data with robust querying and indexing capabilities. Perfect for real-time analytics, content management, and distributed systems, this solution offers agility, reliability, and easy deployment on the secure, enterprise-grade RHEL 8 platform.
Overview
This is a repackaged open source software product wherein additional charges apply for Cloudwrxs Solution with MongoDB on RHEL 8 delivers a powerful, flexible NoSQL database platform designed to meet the demands of modern, data-intensive applications. With its document-oriented architecture, MongoDB enables seamless storage and retrieval of JSON-like data structures, supporting agile development and rapid scalability. Cloudwrxs leverages MongoDB to empower developers and enterprises with advanced querying, indexing, and aggregation capabilities, all while maintaining high performance and adaptability. Optimized for deployment on the secure and stable RHEL 8 platform, this solution excels in handling dynamic workloads, from real-time analytics and content management systems to IoT and mobile backends. MongoDB's built-in replication, sharding, and failover mechanisms ensure enterprise-grade availability and fault tolerance across distributed environments. Cloudwrxs enhances MongoDB deployments with expert configuration, monitoring, and automation tools enabling simplified operations, data integrity, and smooth scaling across hybrid or cloud-native infrastructure. Whether you are managing microservices, powering rich web applications, or building global data services, Cloudwrxs with MongoDB on RHEL 8 gives you the confidence to innovate at scale with reliability, flexibility, and speed.
Highlights
- 1. Flexible Data Management Manage semi-structured data efficiently with MongoDB JSON-based document model on RHEL 8. 2. Real-Time Insights Enable dynamic data access and real-time analytics with powerful querying and indexing features.
- 3. Data Integrity & Security Ensure data consistency, security, and compliance with built-in replication and access controls. 4. Scalable Architecture Scale horizontally with ease using MongoDB native sharding and high-availability replication sets.
- 5. Expert Support Rely on Cloudwrxs expertise to deploy, monitor, and optimize MongoDB for enterprise-grade applications.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Rhel 8
Deployed on AWS
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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.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
m5.large Recommended | $0.59 |
c5.large | $0.59 |
c5.xlarge | $0.59 |
c5.2xlarge | $0.59 |
r5.large | $0.59 |
m6i.xlarge | $0.59 |
t3.xlarge | $0.59 |
r6i.large | $0.59 |
t3.large | $0.59 |
m6i.large | $0.59 |
Dimensions summary
You pay by the hour for a preconfigured MongoDB image running on Red Hat Enterprise Linux 8. Pricing is organized by EC2 instance type, so the rate scales with the compute size you pick. Options span general-purpose (t3, m5, m6i), compute-optimized (c5), and memory-optimized (r5, r6i) families, in large, xlarge, and 2xlarge sizes. You match the instance to your workload's CPU and memory needs. There is no long-term commitment; you are charged only while the image runs. Any required license is noted on the listing.
Top-of-mind questions for buyers
Each rate covers a preconfigured MongoDB image on Red Hat Enterprise Linux 8, running on the EC2 instance type you select. The instance type sets the vCPU and memory allocation. Compute-optimized (c5) favors CPU-heavy work; memory-optimized (r5, r6i) favors larger in-memory datasets; general-purpose (t3, m5, m6i) balances both.
No. You are billed only while the image runs. There is no long-term commitment, and stopping the instance ends the hourly software charge. Note that underlying AWS storage may still incur separate fees while the instance is stopped.
Where a license is required, the seller notes it in the product listing. The hourly rate you select covers the running image. Review the listing details to confirm whether any license cost is included or billed separately.
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Vendor refund policy
You may terminate the instance at anytime 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
Cloudwrxs MongoDB Q2 2026
Additional details
Usage instructions
- Launching the EC2 Instance 1.1. Navigate to the AWS EC2 Console - Launch Instance 1.2. Select the AMI: Red Hat Enterprise Linux 8 (x86_64) 1.3. Choose an instance type (e.g., t3.large or larger for database workloads) 1.4. Create or select an existing SSH Key Pair:
- Save the .pem private key securely
- This key will be used for SSH access 1.5. Configure the Security Group:
- Allow SSH (port 22) inbound access (preferably limited to your IP)
- Allow MongoDB (port 27017) as needed (restrict access to trusted IPs for security) 1.6. Launch the instance
- Connecting to the EC2 Instance 2.1. Connection Prerequisites
- Ensure you have your SSH private key (.pem) file available
- Default user: cloud-user
- The server is configured for key-based authentication only: Password login is disabled (PasswordAuthentication no) Root login is disabled (PermitRootLogin no)
- SSH is on port 22
2.2. For Linux/macOS Users (Terminal) ssh -i /path/to/your-key.pem cloud-user@<EC2_Public_IP>
- Replace /path/to/your-key.pem with the correct path
- Replace <EC2_Public_IP> with your instance's public IP
- Set correct permissions if needed: chmod 400 /path/to/your-key.pem
2.3. For Windows Users (Using PuTTY)
- Convert the .pem file to .ppk using PuTTYgen
- In PuTTY: Host Name: cloud-user@<EC2_Public_IP> Port: 22 Load your .ppk key under Connection - SSH - Auth
- Accessing MongoDB 3.1. Verify MongoDB is running: sudo systemctl status mongod
3.2. Confirm MongoDB version: mongod --version
Support
Vendor support
For more information or to request support, please contact us at: - marketplace@cloudwrxs.com - info@cloudwrxs.com Our team is available to provide tailored advice, support, and a personalized implementation plan for your business.
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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