Red Hat OpenShift: Kubernetes Management Platform
Red Hat OpenShift helps software companies and enterprise IT teams manage the lifecycle of containerized applications. It is designed for organizations needing consistency across different cloud providers or on-premises data centers.
At a glance
- Category
- Software Development
- Best for
- Software Companies, Enterprise IT Operations, Platform Engineers
- Pricing
- Pricing includes usage-based pay-as-you-go options and subscriptions for some services. No-cost trials are available. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Cloud-Native App Development, Application Modernization, AI Model Deployment, VM Migration
- Integrations
- AWS, Microsoft Azure, Google Cloud, IBM Cloud
- Official website
- openshift.com
Red Hat OpenShift is a Kubernetes-based platform that supports building, deploying, and scaling cloud-native applications. It provides management tools to help teams handle application lifecycles across hybrid cloud environments.
The platform is designed for developers, IT operations, and platform engineers who manage both containerized workloads and traditional virtual machines. It includes tools for CI/CD, monitoring, and security management.
Buyers can choose between fully managed services provided by cloud partners or self-managed editions for more granular control over infrastructure. The platform also provides tooling for AI model management and virtualization for those migrating from VM environments.
Key Features
Supports running applications across on-premises, public cloud, and edge environments.
Provides tools to automate application delivery and create deployment workflows.
Supports the migration and management of traditional virtual machine workloads alongside containers.
Supports the building, deploying, and monitoring of predictive and generative AI models.
Includes tools to analyze systems and troubleshoot issues within the environment.
Designed to help with the scaling and management of microservice-based applications.
Use Cases
Building and deploying applications using Kubernetes to support scalability.
Maintaining, rehosting, or refactoring existing applications into a cloud-native format.
Managing the lifecycle of AI models across hybrid cloud infrastructure.
Moving traditional virtual machine workloads onto a unified application platform.
Best For
Integrations
Pricing
Pricing includes usage-based pay-as-you-go options and subscriptions for some services. No-cost trials are available. Buyers should confirm current pricing on the vendor website.
FAQ
It is used to build, deploy, and manage cloud-native applications and AI models across hybrid cloud environments using Kubernetes.
Yes, it includes virtualization capabilities designed to help users migrate and manage traditional virtual machine (VM) workloads.
The platform offers usage-based pay-as-you-go options and subscriptions for certain services. No-cost trials are also available.
Source category: Software Development
Source subcategory: Kubernetes Management
