This can trigger an OutOfMemoryException and shut down the container. NET process is getting near the 0.5GB limit configured for the ECS task. NET GC to not aggressively release unused memory in the heap when it detects the. Return GC.GetGCMemoryInfo().TotalAvailableMemoryBytes.ToString("N0") Var builder = WebApplication.CreateBuilder(args) The 4GB is coming from the underlying host compute. If you deploy this as an ECS Task using Fargate with the minimum memory setting of 0.5GB, the application will report there is 4GB available. To illustrate, running the following application will report the available memory the. NET GC doesn’t see the cgroup’s memory restriction, and instead detects the size of the underlying host compute’s memory. This means if memory is only configured at the task definition level the. NET GC does not support traversing the cgroup hierarchy for determining the amount of available memory. The task’s memory settings are configured for the parent cgroup, which limits the amount of memory for the child cgroups used for the containers. For ECS tasks launched to EC2 instances the task memory and CPU settings are required if the containers defined in the task definition do not have memory and CPU settings defined.Ī hierarchy of cgroups for the task and the individual containers in the task are created when launching a ECS Task. For ECS tasks launched using AWS Fargate for compute the memory and CPU are required settings in the task definition. ECS uses cgroups, a Linux kernel feature, to restrict CPU and memory resources based on the task’s configured settings. NET container applications are deployed to ECS as an ECS Task, and the amount of memory allocated for the Task is configured on the Task Definition. NET applications are running in memory constrained environments, like containers and AWS Lambda functions, the GC might need extra information to understand how much memory is really available to the application. For most use cases GC isn’t something developers need to worry about. NET’s automatic memory allocation and garbage collection (GC) mechanisms to handle the memory needs of their applications.
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