Sold by: CLOUDWRXSÂ
Deployed on AWS
Cloudwrxs Solution with Apache Cassandra on RHEL 8 delivers a scalable, distributed NoSQL database platform ideal for high-throughput workloads and real-time data access. Designed for performance and fault tolerance, Cassandra ensures continuous availability, horizontal scalability, and seamless handling of large volumes of structured data. Perfect for big data, IoT, and time-series applications, this solution runs reliably on the secure and enterprise-grade RHEL 8 platform, making it a strong choice for modern, data-intensive environments.
Overview
Cloudwrxs Solution with Apache Cassandra on RHEL 8 delivers a highly scalable, distributed NoSQL database platform purpose-built for handling large volumes of real-time, structured data across multiple nodes. Designed to power todays most demanding applications, Cloudwrxs leverages Apache Cassandra to provide fault-tolerant, peer-to-peer architecture with no single point of failure ensuring continuous availability and performance at scale.
Ideal for applications that demand high write throughput, horizontal scalability, and low-latency data access such as IoT platforms, time-series analytics, and personalized user experiences Cassandra enables rapid data ingestion and globally distributed workloads without compromise. Built on the stable and secure foundation of RHEL 8, this solution integrates seamlessly with enterprise infrastructure while delivering the flexibility to deploy across hybrid or multi-cloud environments.
Engineered for resilience and speed, Cloudwrxs with Cassandra on RHEL 8 includes robust replication, tunable consistency levels, and native support for scaling out without downtime. Whether you are managing petabyte-scale data lakes, powering real-time analytics pipelines, or building highly available, distributed applications, Cloudwrxs ensures your data infrastructure is optimized for growth, performance, and operational confidence.
Highlights
- 1. Distributed Data Management Achieve high availability and fault tolerance with Cassandra peer-to-peer, decentralized architecture. 2. Real-Time Data Access Power real-time analytics and large-scale applications with low-latency, high-throughput performance.
- 3. Data Resilience & Consistency Ensure continuous availability with tunable consistency, replication, and automatic failover. 4. Seamless Scalability Effortlessly scale across multiple nodes and regions without downtime, leveraging RHEL 8 stability.
- 5. Expert-Led Optimization Rely on Cloudwrxs deep expertise in deploying, tuning, and managing Cassandra for enterprise workloads.
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 |
|---|---|
t3.large Recommended | $0.59 |
i4i.2xlarge | $0.59 |
r6i.2xlarge | $0.59 |
t3.medium | $0.59 |
r5.4xlarge | $0.59 |
i3.2xlarge | $0.59 |
m6i.xlarge | $0.59 |
m5.xlarge | $0.59 |
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 Apache Cassandra 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 (Cassandra benefits from more memory and CPU) 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 Cassandra ports as needed: 7000 (intra-node communication) 7001 (SSL intra-node communication) 7199 (JMX monitoring) 9042 (CQL native transport) 9160 (Thrift, optional) (Limit access 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
- Default user: cloud-user
- SSH runs on port 22
- The server uses key-based authentication only: Password login is disabled (PasswordAuthentication no) Root login is disabled (PermitRootLogin no)
2.2. For Linux/macOS Users (Terminal) chmod 400 /path/to/your-key.pem ssh -i /path/to/your-key.pem cloud-user@<EC2_Public_IP>
- Replace /path/to/your-key.pem and <EC2_Public_IP> appropriately
2.3. For Windows Users (Using PuTTY)
- Convert .pem to .ppk using PuTTYgen
- In PuTTY: Host Name: cloud-user@<EC2_Public_IP> Port: 22 Load .ppk under Connection - SSH - Auth
- Accessing Apache Cassandra 3.1. Check Cassandra service status: sudo systemctl status cassandra 3.2. Verify Cassandra is running nodetool status 3.3. Confirm version cassandra -v
Support
Vendor support
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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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