In-function concurrency allows a single function instance to handle multiple invocations concurrently, improving resource utilization by leveraging idle time in existing instances.
This enhancement can result in efficiency improvements ranging from 20% to 50%, which directly reduces gigabyte-hours consumed and lowers operational costs for users.
While in-function concurrency is designed to optimize resource use, users should be aware that it may increase latency, particularly for functions that are CPU-bound.
Owners of Pro and Enterprise subscriptions can enable this feature through their dashboard, with real-time tracking of resource savings during the beta phase.
#serverless-architecture #in-function-concurrency #resource-optimization #cost-reduction #public-beta
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