KubeSphere v4.3.0 Release Notes
KubeSphere Core v4.3.0
KubeSphere v4.3.0 continuously enhances console interaction, license management, and operational capabilities. This release introduces a visual kubectl debug tool, split license and maintenance management with incremental import support, optimized live logs and workload rollbacks, private image registry credentials, as well as paid tier badges and extension upgrade notifications.
Features
- Supports creating ephemeral debug containers directly from the console to simplify troubleshooting workflows.
- Allows managing software license validity periods and maintenance service periods separately.
- Supports configuring private registry credentials for offline deployment scenarios, improving deployment experiences in private environments.
- Facilitates license application, updates, and troubleshooting by exporting environment information.
Enhancements
- Enables custom menu configurations to adjust navigation items based on actual usage scenarios.
- Displays paid tiers and service levels in the Extension Center to help users quickly understand extension benefits.
- Optimized real-time log querying capabilities for an improved viewing experience.
- Enhanced interaction design for the workload rollback feature.
- Adds upgrade availability indicators in the Extension Center for timely discovery and upgrades of extension components.
- Enhanced capabilities for customizing terminal templates.
- Upgraded Redis and Redis HA components to improve system stability and compatibility.
Bug Fixes
- Fixed an issue where Helm upgrades might overwrite existing platform configurations, as well as incorrect image registry configuration priorities.
- Fixed an issue where configuration differences during application upgrades caused status anomalies, and addressed incomplete validation before saving app repository URLs.
- Fixed a bug where Helm application repository synchronization could enter an endless retry loop.
- Fixed an issue where field changes prevented applications from upgrading as expected.
AI
KubeSphere Copilot v1.0.0
This is the first release of KubeSphere Copilot.
KubeSphere Copilot introduces cloud-native AI assistant capabilities to the platform. Built on HolmesGPT, this Agentic AI platform delivers an AI Copilot for IT operations. It seamlessly integrates with KubeSphere's multi-tenancy, observability, workflows, and authorization systems. Through a unified UI and open APIs, it provides automated cluster fault diagnostics, root cause analysis (RCA), and remediation recommendations.
Features
- Provides a resident sidebar on the right side of the interface, allowing users to trigger AI conversations anytime while browsing resources.
- Built-in support for streaming responses, Markdown rendering, code syntax highlighting, and one-click code copying.
- Supports integration with commercial and open-source Large Language Models (LLMs), enabling quick model switching via configuration.
- Supports manually selecting clusters to bind conversation contexts, ensuring multi-tenant data isolation.
- Adds an AI diagnostic entry point to all workloads, enabling one-click smart analysis for metrics, events, and alerts.
- Allows users to send selected page text directly to the AI sidebar with a single click for quick interpretation of resource information.