Overview
Cloudwrxs Solution delivers a high-performance in-memory data platform optimized for speed, scalability, and simplicity. Built on the reliability of Red Hat Enterprise Linux (RHEL) 8 and the power of AWS, this Redis-based solution enables lightning-fast data processing for modern applications. From caching and session storage to real-time analytics and message brokering, Redis enhances application responsiveness and system throughput. With secure, enterprise-grade deployment and easy integration into cloud-native architectures, Cloudwrxs empowers organizations to build agile, data-driven systems. Partner with Cloudwrxs to accelerate your digital transformation, reduce latency, and unlock real-time intelligence across your infrastructure.
Highlights
- High-Speed In-Memory Storage Leverage Redis for lightning-fast data access, ideal for caching, session storage, and real-time applications. Real-Time Data Processing Enable low-latency, high-throughput operations for analytics, messaging, and event-driven workflows. Secure & Stable Deployment Built on RHEL 8 for enterprise-grade security, stability, and long-term support.
- Scalable Architecture Easily scale Redis instances across AWS to meet evolving performance demands. Expert Support Rely on Cloudwrxs expertise for seamless deployment, optimization, and ongoing management of Redis environments.
Details
Unlock automation with AI agent solutions

Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Cost/hour |
---|---|
t3.large Recommended | $0.17 |
r6i.4xlarge | $0.17 |
r6i.large | $0.17 |
m6i.large | $0.17 |
Vendor refund policy
You may terminate the instance at anytime to stop incurring charges.
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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 Redis Q1 2025
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 (t3.large+ for production use) 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 Redis (port 6379) inbound access (limit by IP range for security) 1.6. Launch the instance
- Connecting to the EC2 Instance 2.1. Connection Prerequisites
- Ensure your SSH private key (.pem) file is available
- Login user: cloud-user
- The server is configured for key-based authentication only: PasswordAuthentication no PermitRootLogin no
- SSH is available on the default 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 your key path
- Replace <EC2_Public_IP> with your EC2 public IP
- Set correct permissions if necessary: chmod 400 /path/to/your-key.pem
2.3. For Windows Users (Using PuTTY)
- Convert .pem to .ppk with PuTTYgen
- In PuTTY: Host Name: cloud-user@<EC2_Public_IP> Port: 22 Load your .ppk key under Connection - SSH - Auth
- Accessing the Redis Server 3.1. Once logged in, verify Redis is running: redis-cli ping
- Expected output: PONG
3.2. Check Redis service status: sudo systemctl status redis
Support
Vendor support
For more details or a personalized pricing proposal, please contact us at:
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.