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Netflix TechBlog
1. Netflix Stratum Media Processing: Automated Container Right-Sizing
Published: 2026-10-14 19:48
Summary:
Once enrolled, SRT operates without a human in the loop across five steps:Figure 1: SRT Workflow High-LevelCollect resource usage metrics across all executions of that function.Generate a recommendation for each resource type (e.g., CPU or memory).Verify the recommendation through experiments.Apply or reject the recommendation based on the results of experiments.Monitor post-apply metrics, watching for anomalies after applying the recommendation.“Recommendation” is a key construct in SRT and serves as the primary unit of operation The workflow also generates recommendations for functions that have not opted into automatic right-sizing to preview potential savings.Each recommendation is saved in the recommendations datastore, enabling us to query and filter recommendations by function, resource type, or status on an ad hoc basis.Figure 4: Recommendation Generation SequenceFor each function and resource type, the workflow applies the following generation logic:Filter by workload type: We only tune high-throughput workloads Using pre-set thresholds serves as a reliable stopgap while we develop improved detection capabilities.SRT automatically enables the retry mechanism for any function opted into memory or disk right-sizing
Generated on 2026-10-18 12:57:47