ibm/cloud-pak

IBM Cloud Paks are enterprise-grade containerized software by combining container images with enterprise capabilities for deployment in production use cases...

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Summary Information

Updated 16 minutes ago
Added to GitGenius on August 16th, 2026
Created on October 17th, 2018
Open Issues & Pull Requests: 7 (+0)
GitHub issues: Disabled - open counts may still include pull requests.
Number of forks: 148
Total Stargazers: 147 (+0)
Total Subscribers: 23 (+0)

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Detailed Description

IBM Cloud Pak is a containerized software platform that bundles enterprise capabilities with container images for production Kubernetes deployments.

The tool addresses the gap between basic container images and enterprise production requirements. While containers provide packaging simplicity and portability, they alone do not meet the operational needs of large organizations. Cloud Pak combines container images with enterprise features including pre-configured deployments, rolling upgrades and rollbacks, security and vulnerability testing, and integrations with management services for logging, monitoring, metering, and security. This approach allows enterprises to move applications to production faster and at lower cost than managing containers without these integrated capabilities.

Cloud Pak suits organizations running production workloads on Kubernetes who need built-in management, governance, and security controls rather than assembling these capabilities separately. The platform is designed for enterprises that value pre-configured deployments based on product expertise and integrated lifecycle operations. It works with open standards and is built specifically for Kubernetes environments.

The project maintains active documentation and guidance for users, including migration paths for deprecated features. The README includes a deprecation notice for several SecurityContextConstraints with clear mitigation instructions directing users to Red Hat OpenShift documentation and explaining the transition to custom SCCs provided by workloads. This indicates ongoing attention to compatibility and user migration scenarios as the platform evolves.