This topic describes major feature changes introduced in the Realtime Compute for Apache Flink release on June 12, 2026.
This upgrade will roll out gradually across all regions. For the detailed rollout schedule, check the latest announcements on the right side of the Realtime Compute console. If you cannot access the new features, your account has not yet been included in the grayscale rollout. To request an early upgrade, or submit a ticket, and we will arrange it based on actual conditions.
Overview
This release focuses on expanding AI-powered capabilities and improving the auto-tuning experience. The AI assistant now supports invoking Skills for job management, fault diagnosis, and resource tuning. You can perform common O&M operations through natural language in the chat interface. Additionally, Flink Skills are now listed in Understanding Agent Skills, enabling external agents such as DataWorks to install and integrate them on demand for cross-product natural language control of Flink. Furthermore, AI Function now supports service registration via Alibaba Cloud Model Studio account packages, so you can use AI inference capabilities without providing your own API key. Auto-tuning now supports Flink CDC YAML data ingestion jobs and integrates with health scores to improve visibility into tuning status.
Platform side
AI capabilities
AI assistant gains Skill invocation capability: The console AI assistant can trigger Skills—such as job operations, O&M diagnostics, resource tuning, and Q&A—through natural language in the chat interface. It returns results in a structured format and provides parameter recommendations and next-step guidance based on those results.
First batch of Agent Skills published to Alibaba Cloud Skill Hub: Realtime Compute for Apache Flink releases its first two Agent Skills, now available on the Alibaba Cloud Skill Hub. These Skills support integration with mainstream AI Agent platforms such as Claude Code and OpenClaw, enabling natural language–based management of Flink workspace instances and job O&M operations.
alibabacloud-flink-instance-manage: Manages the lifecycle of Flink instances and namespaces. Supports querying available regions and zones, creating instances, checking instance status, creating and querying namespaces, and listing resource tags. Ideal for scenarios such as instance provisioning and capacity planning.
alibabacloud-flink-workspace-ops: Handles day-to-day workspace O&M tasks. Covers full lifecycle management (start, stop, diagnose, delete) for both Session Clusters and deployed jobs. Also supports workspace configuration operations such as table queries, member management, and variable management. Suitable for job O&M, resource management, and troubleshooting scenarios.
Platform features
New purchases support pvtz in shared VPC scenarios: You can now directly purchase new Flink instances in shared VPC environments without additional network configuration.
Workspace access permissions by resource group: Control workspace access permissions at the Alibaba Cloud resource group level to meet multi-team isolation requirements.
Billing console integrates Alibaba Cloud resource group authorization: Supports access control at the resource group level.
Experience improvements
Auto-tuning:
Adds support for Flink CDC YAML data ingestion jobs: Auto-tuning now covers data ingestion scenarios.
Supports dynamic TM CPU scaling: Adjust TaskManager CPU allocation without restarting the job.
Auto-tuning integrates with health scores: When health score diagnostics detect resource-related threats, auto-tuning triggers automatically, closing the loop from issue detection to one-click tuning.
Resource queues:
Optimizes used CU calculation logic: When the CPU-to-memory ratio is not 1:4, used CUs are calculated as
max(CPU-equivalent CUs, memory ÷ 4), using the larger value. This yields more accurate display results and prevents underestimating resource utilization.
OpenAPI
Adds job health score (GetJobDiagnosis): Returns health score information, enabling external systems to pull real-time job health status.