This is a repackaged open source software product wherein additional charges apply for support and maintenance by Hfimg.

The advantages of Rocky Linux 9.4 compared to other operating systems include:

1. RHEL Compatibility: Fully compatible with Red Hat Enterprise Linux (RHEL), making it easy to migrate from CentOS while enjoying RHEL's stability and application support.
2. Long-Term Support (LTS): Offers long-term support and security updates, reducing the need for frequent upgrades.
3. Modern Hardware Support: Supports the latest hardware and technologies, ensuring good compatibility in high-performance environments.
4. High Stability and Reliability: Suitable for enterprise-grade production environments, capable of long-term operation without frequent maintenance.
5. Extensive Enterprise Application Support: Supports various databases, container platforms, and virtualization tools, making it easy for enterprises to deploy.
6. Enhanced Security: Provides the latest security patches and SELinux support to ensure system security.

Rocky Linux 9.4 has a wide range of use cases, particularly in enterprise-level and cloud computing environments. Below are some typical scenarios:

1. Web Server Deployment: Rocky Linux 9.4 can be used to quickly deploy efficient web servers like Apache and Nginx, suitable for high-traffic websites and applications.
2. Database Server: Runs databases like MySQL and PostgreSQL, ideal for data storage and management in enterprise applications.
3. Containerized Applications: Supports container technologies like Docker and Podman, making it suitable for the development and operation of microservices and containerized applications.
4. Cloud-Native Applications: Integrates with cloud-native tools such as Kubernetes to build and manage large-scale distributed applications.
5. Development and Testing Environment: Serves as an environment for development, testing, and continuous integration/continuous delivery (CI/CD), supporting rapid iteration and deployment of applications.
6. High-Performance Computing (HPC): Used for scientific computing, modeling, data analysis, and other tasks requiring high-performance computing.
7. Big Data Processing: Can run big data frameworks like Hadoop and Spark, supporting distributed computing and data analysis tasks.
8. Network and Security Applications: Deploys firewalls, VPNs, and intrusion detection systems (IDS), suitable for enhancing enterprise security protection.

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