Streamlit Databricks App Compute Scaling

- - Certifications
- - Learning Paths
- - Databricks Product Tours
- - Get Started Guides
- - Product Platform Updates

- - Get Started Resources
- - Events
- - Support FAQs
- - Technical Blog
- - Knowledge Sharing Hub
- - Announcements
- - DatabricksTV

- - Private Groups
  - Farfetch Databricks User Community
- - Skills@Scale

- - Databricks Community Champions
- - Khoros Community Forums Support (Not for Databricks Product Questions)
- - Databricks Community Code of Conduct

Data Engineering

Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.

I have a streamlit Databricks app and I’m looking to increase the compute resources. According to the documentation and the current settings, the app is limited to 2 vCPUs and 6 GB of memory. Is there a way to adjust these limits or add more resources? I have already added the DATABRICKS_CLUSTER_ID to my environment variables, but it doesn’t seem to affect the compute resources.