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AWS Lambda Managed Instances are here, and Sedai is making the migration process easy and safe.
AWS Lambda Managed Instances gives users the agility of Lambda functions with the cost control, performance options, and hardware flexibility of EC2.
With Sedai’s automated analysis and one-click execution, customers can now pinpoint which functions are strong candidates for AWS Lambda Managed Instances and migrate them with confidence. This makes it easy for engineering, platform, and FinOps teams to take advantage of AWS’s newest compute option.
As organizations scale their serverless environments, they often reach a point where certain workloads demand:
Historically, teams had to choose between performance flexibility and operational simplicity. They either stayed within the Lambda model or migrated parts of their architecture to EC2, ECS, or other container-based solutions.
AWS Lambda Managed Instances changes that equation.
By allowing Lambda functions to run on AWS-managed EC2 instances while preserving the Lambda programming model, AWS now bridges serverless and EC2.
It’s a compelling new option for predictable workloads, ML/AI pipelines, and high-throughput data processing jobs, without abandoning the benefits teams love about Lambda.
Developers now keep the familiar, lightweight Lambda development experience, while operators retain the ease of scaling, warm environments, and event-driven workflows.
AWS Lambda Managed Instances adds hardware choice and cost control without re-architecting or giving up the operational model that has made Lambda so popular.
So, which functions should teams migrate to AWS Lambda Managed Instances?
Answering that isn’t trivial. Teams need to consider:
Doing this manually can take weeks, or even longer at scale. It can also lead to risky guesswork or migrating functions that won’t actually benefit.
But with Sedai, we give you the migration insights you need to move functions efficiently and effectively.
Sedai automatically analyzes historical AWS usage, traffic, and behavior patterns to identify the Lambda functions most likely to benefit from AWS Lambda Managed Instances.
With this new capability, Sedai enables customers to:
Sedai looks for functions with:
Sedai generates side-by-side comparisons showing how each function would behave on AWS Lambda Managed Instances, including:
Once a customer approves a function for migration, Sedai safely moves it to Managed Instances by:
This dramatically reduces what is typically weeks of manual work.
Early interest in AWS Lambda Managed Instances has centered around three patterns:
When functions run continuously or follow consistent traffic patterns, EC2-backed execution provides the cost stability and pricing leverage traditional Lambda can’t.
Workloads needing 30 to 60 minutes of compute time now get a cleaner Lambda path without moving to containers.
Teams that need GPU acceleration can stay in a Lambda-first architecture and still deliver high-performance inference at scale.
And with Sedai’s support for AWS Lambda Managed Instances, identifying these patterns and knowing exactly which functions fit is automatic.
The launch of Sedai’s support for AWS Lambda Managed Instances is just the beginning. Over the coming months, Sedai will expand its support with:
Sedai’s goal is simple: make AWS Lambda Managed Instances just as easy to adopt (and optimize) as Lambda itself.
Sedai’s support for AWS Lambda Managed Instances will be available at launch or shortly after in all AWS regions where the capability is offered.
December 1, 2025
December 2, 2025
AWS Lambda Managed Instances are here, and Sedai is making the migration process easy and safe.
AWS Lambda Managed Instances gives users the agility of Lambda functions with the cost control, performance options, and hardware flexibility of EC2.
With Sedai’s automated analysis and one-click execution, customers can now pinpoint which functions are strong candidates for AWS Lambda Managed Instances and migrate them with confidence. This makes it easy for engineering, platform, and FinOps teams to take advantage of AWS’s newest compute option.
As organizations scale their serverless environments, they often reach a point where certain workloads demand:
Historically, teams had to choose between performance flexibility and operational simplicity. They either stayed within the Lambda model or migrated parts of their architecture to EC2, ECS, or other container-based solutions.
AWS Lambda Managed Instances changes that equation.
By allowing Lambda functions to run on AWS-managed EC2 instances while preserving the Lambda programming model, AWS now bridges serverless and EC2.
It’s a compelling new option for predictable workloads, ML/AI pipelines, and high-throughput data processing jobs, without abandoning the benefits teams love about Lambda.
Developers now keep the familiar, lightweight Lambda development experience, while operators retain the ease of scaling, warm environments, and event-driven workflows.
AWS Lambda Managed Instances adds hardware choice and cost control without re-architecting or giving up the operational model that has made Lambda so popular.
So, which functions should teams migrate to AWS Lambda Managed Instances?
Answering that isn’t trivial. Teams need to consider:
Doing this manually can take weeks, or even longer at scale. It can also lead to risky guesswork or migrating functions that won’t actually benefit.
But with Sedai, we give you the migration insights you need to move functions efficiently and effectively.
Sedai automatically analyzes historical AWS usage, traffic, and behavior patterns to identify the Lambda functions most likely to benefit from AWS Lambda Managed Instances.
With this new capability, Sedai enables customers to:
Sedai looks for functions with:
Sedai generates side-by-side comparisons showing how each function would behave on AWS Lambda Managed Instances, including:
Once a customer approves a function for migration, Sedai safely moves it to Managed Instances by:
This dramatically reduces what is typically weeks of manual work.
Early interest in AWS Lambda Managed Instances has centered around three patterns:
When functions run continuously or follow consistent traffic patterns, EC2-backed execution provides the cost stability and pricing leverage traditional Lambda can’t.
Workloads needing 30 to 60 minutes of compute time now get a cleaner Lambda path without moving to containers.
Teams that need GPU acceleration can stay in a Lambda-first architecture and still deliver high-performance inference at scale.
And with Sedai’s support for AWS Lambda Managed Instances, identifying these patterns and knowing exactly which functions fit is automatic.
The launch of Sedai’s support for AWS Lambda Managed Instances is just the beginning. Over the coming months, Sedai will expand its support with:
Sedai’s goal is simple: make AWS Lambda Managed Instances just as easy to adopt (and optimize) as Lambda itself.
Sedai’s support for AWS Lambda Managed Instances will be available at launch or shortly after in all AWS regions where the capability is offered.
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