Overview
Cloudwrxs Solution with PostgreSQL on Red Hat Enterprise Linux (RHEL) 8 delivers a secure, scalable, and high-performance data platform tailored for enterprise-grade workloads. Designed to meet the demands of modern data-driven organizations, this solution combines the advanced capabilities of PostgreSQL with the reliability and stability of RHEL 8. Cloudwrxs enables seamless data integration, robust transaction processing, and powerful analytics to support mission-critical applications. With features such as role-based access control, automated backup and recovery, and performance optimization tools, organizations can ensure data integrity, compliance, and operational efficiency. Partner with Cloudwrxs to modernize your data infrastructure and drive innovation with a resilient and flexible PostgreSQL environment.
Highlights
- Enterprise-Grade Data Management Leverage PostgreSQL robust relational database features for reliable and consistent data operations on RHEL 8 High Performance and Scalability Optimize workloads with advanced indexing, parallel processing, and RHEL 8 performance-tuned environment
- Security and Compliance Ensure data protection with role-based access control, encryption, and RHEL hardened security features Flexibility and Extensibility Support diverse use cases with PostgreSQL extensible architecture including custom functions and third-party modules
- Trusted Deployment and Support Rely on Cloudwrxs for expert deployment, maintenance, and performance tuning to keep your PostgreSQL environment running at peak efficiency
Details
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Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Cost/hour |
---|---|
t3.large Recommended | $0.17 |
r6i.xlarge | $0.17 |
t3.medium | $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 PostgreSQL Q1 2025
Additional details
Usage instructions
- Launching the EC2 Instance
1.1. Navigate to the AWS EC2 Console - Click 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
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 PostgreSQL (port 5432) inbound access if remote database connections are required (restrict by IP 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
- You must log in to the server using the 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 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 the actual path to your key
- Replace <EC2_Public_IP> with your EC2 instance 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 the .ppk file under Connection - SSH - Auth
- Accessing the PostgreSQL Database
3.1. Once logged in, switch to the postgres user: sudo su - postgres
3.2. Access the PostgreSQL command-line interface: psql
3.3. Check PostgreSQL version (optional): psql --version
3.4. To exit PostgreSQL prompt: \q
Support
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