Cloud Provider
Databricks Serverless Compute
Inefficiency Type
Clear filters
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Showing
1234
out of
1234
inefficiencis
Filter
:
Filter
x
Underuse of Serverless Compute for Jobs and Notebooks
Compute
Cloud Provider
Databricks
Service Name
Databricks Serverless Compute
Inefficiency Type
Suboptimal Execution Model

Databricks Serverless Compute is now available for jobs and notebooks, offering a simplified, autoscaled compute environment that eliminates cluster provisioning, reduces idle overhead, and improves Spot survivability. For short-running, bursty, or interactive workloads, Serverless can significantly reduce cost by billing only for execution time. However, Serverless is not universally available or compatible with all workload types and libraries. Organizations that exclusively rely on traditional clusters may be missing emerging opportunities to reduce spend and simplify operations by leveraging Serverless where appropriate.

There are no inefficiency matches the current filters.