AI TOOL PROFILE
Red Hat OpenShift: Kubernetes Management Platform
- Software Development
- Kubernetes Management
- 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.
At a glance
- Best for
- Software Companies, Enterprise IT Operations, Platform Engineers
- Key use cases
- Cloud-Native App Development, Application Modernization, AI Model Deployment, VM Migration
- Integrations
- AWS, Microsoft Azure, Google Cloud, IBM Cloud
- Official website
- Visit openshift official website
How AI is used
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
Hybrid Cloud Deployment
Supports running applications across on-premises, public cloud, and edge environments.
CI/CD via GitOps and Pipelines
Provides tools to automate application delivery and create deployment workflows.
VM Virtualization
Supports the migration and management of traditional virtual machine workloads alongside containers.
AI Model Lifecycle Management
Supports the building, deploying, and monitoring of predictive and generative AI models.
Observability Monitoring
Includes tools to analyze systems and troubleshoot issues within the environment.
Serverless and Service Mesh
Designed to help with the scaling and management of microservice-based applications.
Use Cases
Cloud-Native App Development
Building and deploying applications using Kubernetes to support scalability.
Application Modernization
Maintaining, rehosting, or refactoring existing applications into a cloud-native format.
AI Model Deployment
Managing the lifecycle of AI models across hybrid cloud infrastructure.
VM Migration
Moving traditional virtual machine workloads onto a unified application platform.
Integrations
- AWS
- Microsoft Azure
- Google Cloud
- IBM Cloud
FAQ
What is Red Hat OpenShift used for?
- It is used to build, deploy, and manage cloud-native applications and AI models across hybrid cloud environments using Kubernetes.
Does OpenShift support virtual machines?
- Yes, it includes virtualization capabilities designed to help users migrate and manage traditional virtual machine (VM) workloads.
How is Red Hat OpenShift priced?
- 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
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