Core Concepts
Effective serverless scheduling policies are crucial to address issues like high cold start latencies, poor fault tolerance, and limited support for parallel processing in modern serverless platforms.
Stats
Our service reduces cold start execution latencies by up to 80%, steady state latencies by up to 10%, and does so with negligible time and memory overhead.
Around half of the functions running on modern serverless platforms today take less than 1 second to execute.
For certain workloads, poor scheduling and limited fault tolerance exclude serverless computing as a possible substitution for traditional data processing frameworks such as Spark, MapReduce, or Dryad.