Red Hat is announcing that OpenShift 4.22 is now available, introducing significant advancements across the board, from hardening zero-trust security and streamlining hybrid cloud virtualization to automating complex cluster operations and providing a robust, production-ready foundation for AI/ML workloads.
By shifting the focus from manual management to intelligent, platform-native automation, OpenShift 4.22 empowers organizations to modernize their infrastructure without the operational friction, ensuring business applications and next-generation AI initiatives can thrive on the same trusted, scalable foundation, according to Red Hat.
In the 4.22 release, Red Hat OpenShift continues to harden its platform foundation to meet growing security standards, helping reduce the manual effort of compliance and risk mitigation.
By shrinking the attack surface at the base layer and modernizing identity management, the platform makes it easier for organizations to adopt a rigorous zero-trust architecture without introducing operational friction, the company said.
To achieve hybrid cloud flexibility, organizations must eliminate the barriers between legacy architectures and modern cloud-native platforms. In this latest release, Red Hat OpenShift Virtualization makes it easier to migrate and manage virtual machines (VMs) across your environments. Organizations can modernize their infrastructure without disrupting operations using the platform's enterprise-grade data protection, and optimized edge footprints, Red Hat said.
Scaling cloud operations requires a shift from manual cluster management to intelligent, automated infrastructure. In this release, OpenShift expands its built-in platform intelligence designed to optimize resource usage and lower operational overhead.
By introducing production-ready, workload-aware scaling alongside heightened multi-tenant security boundaries, the platform helps to keep costs low and environments compliant.
In this release, Red Hat OpenShift focuses on reducing the operational barriers that stall AI initiatives by introducing standardized distributed training and integration frameworks.
With OpenShift 4.22 updates to security, virtualization, cloud operations, and AI orchestration reveal a focus on making infrastructure easier to manage.
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