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

Rocky Linux 8.8 is an open-source enterprise operating system designed to provide a stable environment fully compatible with Red Hat Enterprise Linux (RHEL). It continues the mission of CentOS, offering long-term support and high stability, making it particularly suitable for use in production environments. Compared to CentOS 7.9, Rocky Linux 8.8 features a more modern kernel and software packages, ensuring compatibility with CentOS 7.9 while enabling users to smoothly transition to a more up-to-date and secure version, ideal for enterprises looking to migrate from CentOS 7.9.

Rocky Linux 8.8 is highly suitable for various scenarios, and here are some common use cases: 1.Web Server Deployment: Rocky Linux 8.8 can be used for quickly deploying efficient web servers, such as Apache or Nginx, making it ideal for high-traffic websites and applications. 2.Database Server: As a database server, Rocky Linux 8.8 can run MySQL, PostgreSQL, etc., supporting data storage and management for enterprise-level applications. 3.Containerized Applications: With support for container technologies like Docker and Podman, it is suitable for the development and operation of microservices architectures, simplifying application deployment and management. 4.Cloud-Native Applications: Integration with cloud-native tools like Kubernetes facilitates the construction and management of large-scale distributed applications, making it ideal for modern cloud environments. 5.Development and Testing Environments: As a platform for development, testing, and continuous integration/continuous delivery (CI/CD), it supports rapid iteration and release, enhancing development efficiency. 6.High-Performance Computing (HPC): Suitable for tasks requiring high-performance computing, such as scientific computing, modeling, and data analysis, making it ideal for research and engineering computations. 7.Big Data Processing: It can run big data frameworks like Hadoop and Spark, supporting distributed computing and data analysis, making it suitable for big data applications. 8.Networking and Security Applications: Deployment of firewalls, VPNs, intrusion detection systems, etc., enhances the network security posture of enterprises.

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