Red Hat, Inc., the world’s leading provider of open source solutions, today announced Red Hat OpenShift 4.8, the latest version of the industry’s leading enterprise Kubernetes platform. Providing a powerful foundation to develop and connect diverse workloads across the hybrid cloud, Red Hat OpenShift 4.8 helps organizations accelerate the creation of new cloud-native applications without abandoning existing environments and IT investments.
As organizations grow application landscapes to meet evolving needs, Kubernetes-powered cloud platforms need to not only span all open hybrid cloud infrastructure footprints, but also the variety of workloads and applications running on this foundation. A recent Red Hat-sponsored study conducted by Pulse further expands upon this need, with the survey highlighting evolving trends for application usage on Kubernetes. Respondents reported a wide variety of workloads deployed on containers and Kubernetes, including:
As new customer goals continue to create room for market innovation, Red Hat OpenShift 4.8 provides organizations a common foundation to more consistently develop, deploy and run a hybrid mix of applications and services.
Organizations across the globe including AXA France, Bao-zun, İşbank and WorldPay from FIS are turning to Red Hat OpenShift to run heterogeneous workloads, from modern data analytics and AI/ML to modernizing traditional applications built on Java and .NET frameworks. The latest release of Red Hat OpenShift helps to further accelerate developing and running a mix of applications across the entirety of the hybrid cloud.
Red Hat OpenShift 4.8, based on Kubernetes 1.21 and CRI-O 1.21 runtime interface, further simplifies the developer experience while helping expand the use cases and workload possibilities across industries. New features and enhancements include:
Over the past several years, Red Hat has seen growth in the number of Independent Software Vendor (ISV) partner workloads running on Red Hat OpenShift. According to the survey by Pulse, 63% of respondents run either a mix of ISV and custom workloads, or just ISV workloads on containers and Kubernetes.
To provide even more choice for organizations, Red Hat has expanded Red Hat OpenShift Certification to support a broader range of workloads on the industry’s leading enterprise Kubernetes platform. Red Hat partners can now enable and certify software solutions on OpenShift through either Operators or Helm charts. With this enhanced certification, partners can more easily tap into Kubernetes-native technologies to manage and scale software deployments.
The certified OpenShift ecosystem with Kubernetes Operators and Helm certification, now includes over 150 partner solutions, with recently certified Operators including: Intel OpenVINO Model Server and OpenNESS, Ionir container-native data platform for Kubernetes, MinIO hybrid cloud object storage, MongoDB Atlas cloud database service and certified Helm charts for HashiCorp Vault. This integrated ecosystem helps empower organizations with solutions that work hand-in-hand with OpenShift and answer a broad spectrum of cloud-native needs, including databases, AI/ML tools, application runtimes, developer tools, storage, networking, security, monitoring and logging, and more.
Additionally, to further empower organizations, Red Hat Services provides application development expertise and proven field experience to help organizations navigate the complexities of building modern, scalable, hybrid applications.
Availability
Red Hat OpenShift 4.8 is expected to be generally available in July, including the ability to try it on the Developer Sandbox for Red Hat Openshift.
Supporting Quotes
Joe Fernandes, vice president and general manager, Cloud Platforms, Red Hat
“Red Hat understands that no two applications are alike and each has unique needs. Red Hat OpenShift is designed to support organizations regardless of workload type or where an application lives across the hybrid cloud. With Red Hat OpenShift 4.8, we further that vision by making it even easier for organizations to run a diverse mix of workloads from data driven intelligent applications to the mission critical traditional applications that teams are working to modernize.”
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