AWS Lambda supports scheduled scaling for functions on Lambda Managed Instances
Amazon Web Services has introduced scheduled scaling capabilities for AWS Lambda functions running on Lambda Managed Instances, integrated with Amazon EventBridge Scheduler. The new feature enables developers to define one-time or recurring schedules that automatically adjust function capacity limits ahead of anticipated traffic patterns, addressing the previous requirement for manual capacity adjustments or custom automation scripts. Lambda Managed Instances runs Lambda functions on managed EC2 instances with built-in routing, load balancing, and autoscaling capabilities, with capacity scaling between configured minimum and maximum limits based on traffic demand. The scheduled scaling feature is particularly beneficial for applications with predictable traffic patterns, such as business-hours applications or event-driven workloads. Organizations can now schedule capacity increases before peak periods to ensure execution environments are ready when requests arrive, or scale capacity to zero during idle periods to minimize costs. The scheduled scaling functionality is available across all AWS regions that support Lambda Managed Instances and can be configured through multiple interfaces including the EventBridge Scheduler console, AWS CLI, SDK, CDK, or CloudFormation templates.
Why It Matters
This enhancement addresses a significant operational challenge for enterprise Lambda deployments by automating capacity management for predictable workloads. The ability to proactively scale based on schedules rather than reactive scaling helps organizations optimize both performance and costs, particularly for business applications with known traffic patterns. This feature reduces the operational overhead of managing serverless infrastructure at scale and provides more granular cost control by enabling true pay-per-use scaling during idle periods.
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