Realtime Compute for Apache Flink enforces limits on resources, workspace organization, and deployment configurations. Review these limits before designing your deployment.
Resource quotas
Compute units (CUs)
A single subscription workspace supports a maximum of 1,000 Compute Units (CUs) per request. To request more than 1,000 CUs, submit a ticket.
For information about what a CU represents in terms of computing resources, see Product billing.
Organizational limits
The following limits apply to workspace, project, and folder structure. To request an increase for any of these limits, submit a ticket.
| Resource | Limit |
|---|---|
| Projects per workspace | 5,000 |
| Folders per project | 100 |
| Folder depth | 5 levels |
| Files per folder (including subfolders) | 10,000 |
Deployment constraints
Regions and zones
Realtime Compute for Apache Flink is available in multiple regions in and outside China. Each region has one or more zones. For a full list, see Regions and zones.
Cross-zone deployment
Cross-zone deployment is supported only for subscription workspaces that use the Intel x86 architecture in certain regions.
Browser
Access the Realtime Compute for Apache Flink console using a Chromium-based browser.
Network
Realtime Compute for Apache Flink does not support internet access. For workarounds, see How do I access the internet?
Performance reference
These figures come from stress testing and represent expected throughput under controlled conditions. Actual performance depends on your workload characteristics and runtime environment.
| Scenario | Throughput per CU |
|---|---|
| Simple operations (single-stream filtering, string transformations) | 40,000–55,000 records/second |
| Complex operations (JOIN, GROUP BY, window functions) | 5,000–10,000 records/second |
For detailed benchmark methodology, see Performance White Paper (Nexmark Performance Test).
Legal responsibility
The compute instances that run your code are your assets. You are responsible for the legal liabilities arising from the code logic that runs on these instances.
What's next
Comparison with open source Apache Flink — understand the architecture differences
Features and benefits — explore what Realtime Compute for Apache Flink offers
Product billing — subscription and pay-as-you-go options
Activate Realtime Compute for Apache Flink — get started