ecs capacity provider termination protection

', manually triggering ASG associated with capacity provider -> capacity provider metric drops to 0, task does not see any change, and does not start any containers even the capacity exists, after the 15minuter, capacity provider alarm triggers ASG to scale down, capacity provider metric returns to 100, task still in limbo. By using a custom capacity provider strategy, the service will be configured with two tasks placed on On-Demand Instances using the base parameter and the remaining tasks placed equally between Spot and On-Demand capacity providers. The current status of the capacity provider. The AWS access key for the user account. One part of a key-value pair that make up a tag. The update status reason. [ECS] Add the ability to delete an ASG capacity provider. The Spot Instance interruptions that are injected by your AWS Fault Injection Simulator experiments behave in the same way as they do when reclaimed by Amazon EC2; see this blog postto learn more about it. We have an ecs cluster with a managed auto scaling group (aws_ecs_capacity_provider) and a aws_launch_template to create EC2 instances we manually turned off the scale in protection in the advanced settiongs of the ASG. Syntax For the capacity provider that you want to check, choose the ASG. Do you have a CloudFormation or Terraform template that includes the task definition, service definition, ASG config etc that I can take a look at to reproduce this behavior? Special cases: It seems that the capacity provider will only mark a task as "provisioning" if there are candidate ECS instances in the cluster. In the navigation pane, choose Clusters. You define both. The Auto Scaling group will then be able to terminate the EC2 instances. If N=0 and M>0, then CapacityProviderReservation = 200. It prevents ASG from terminating any instance running at least one task on it during scale-in action. #633, As mentioned here the service should use Capacity provider strategy in order to show provisioning instead of insufficient capacity @tekaeren You can watch the Re:invent session with a demo that covers scaling out from zero: https://youtu.be/v9xuKAdShFw. The managed scaling settings for the Auto Scaling group capacity provider. When there are no tasks running, the scaling policy will still periodically add instances in an attempt to maintain spare capacity. When a new task tries to start, it fails with not having enough CPU reservation. My cluster has been stuck at a CapacityProviderReservation value of 66.67 for several days. Also, when using ECS Capacity Provider, the warm-up time is 300 seconds, even though the instance and next task are launched within one minute. Hi @anoopkapoor The tasks fail without going into provisioning. Provides an ECS cluster capacity provider. Each tag consists of a key and an optional value. More over I can't place any tasks in ECS cluster because cluster state is 'in provisioning' even through more than enough resources is available. On the Instance management tab, choose Actions, Set scale-in protection. FYI, another nasty possible error I found. scale out so the 2 desired tasks can be placed). For example, if you set the target value to 50, the scaling policy will try to adjust N so that the equation M / N X 100 = 50 is true.". If you use a capacity provider with an Auto Scaling group configured with more than one Amazon EC2 instance type or Availability Zone, Amazon ECS will scale up by the exact minimum scaling step size value and will ignore both the maximum scaling step size as well as the capacity demand. Amazon EC2 can interrupt Spot Instances with a two-minute notification when EC2 needs the capacity back. and the second one runs with 100% Spot Instances. Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs)If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. The JSON string follows the format provided by --generate-cli-skeleton. A JMESPath query to use in filtering the response data. Spot Instances are a great fit for containersbecause both are designed to be interruptible and replaceable. The managed termination protection setting to use for the Auto Scaling group capacity provider. using latest terraform and latest aws provider. For more information see the AWS CLI version 2 The specified value must be greater than. You can turn on this capability by setting the ECS_ENABLE_SPOT_INSTANCE_DRAININGvariable to true in the ECS agent configurations in the user data section of the launch template for container instances. 3. Hi @MikeKroell can you confirm that you are indeed using a capacity provider strategy when using the runTask API? Note that the AWS resources referenced in a call are usually region-specific. For EC2 based container instances, a capacity provider consists of a name, an Auto Scaling group (ASG), and settings for managed scaling and managed termination protection. which prevents EC2 instances that contain ECS tasks and that are in an Auto Scaling group from being terminated during scale-in actions. . This is only needed when you chose to use managed scaling:. Maximum key length - 128 Unicode characters in UTF-8, Maximum value length - 256 Unicode characters in UTF-8. But it seems that since the CapacityProviderReservation metric is of percent type, it is capped to 100. As you can see in the picture, when the cluster tries to scale, it adds more and more instances due to 300 warmup and then needs to delete them to enter the steady state. this. When managed termination protection is enabled, Amazon ECS prevents the Amazon EC2 instances in an Auto Scaling group that contain tasks from being terminated during a scale-in action. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. The Auto Scaling group settings for the capacity provider. Adding task to such empty (both not running tasks, and zero instances => meaning 100% CapacityProviderReservation) will not raise the CapacityProviderReservation over 100 and thus the scale-out alert is not triggering on connected ASG. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. arn managed_termination_protection = " ENABLED " # required protect_from_scale_in = true in ASG managed_scaling . Inputs. . An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. If the ECS agent detects an interruption notification at the Instance Metadata Service, it sets the instance state to DRAININGto prevent new tasks from being scheduled for placement on this container instance. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.ECS.Model.UpdateCapacityProviderResponse). Error: error creating capacity provider: ClientException: The managed termination protection setting for the capacity provider is invalid. Hi! @coultn See below for the tags that are applied to the ASG. If you would like to suggest an improvement or fix for the AWS CLI, check out our contributing guide on GitHub. help getting started. So adding task to such cluster will fail with message service [ecs_service] was unable to place a task because no container instance met all of its requirements. This determines whether the Auto Scaling group has managed termination protection. By default, the AWS CLI uses SSL when communicating with AWS services. Using getCapacityProvider. For more information, see Cluster capacity providers in the Amazon ECS Developer Guide. This cmdlet returns an Amazon.ECS.Model.CapacityProvider object. If you still receive the error, then some of your existing instances launched by the Auto Scaling group might not have scale-in protection. 101756 Background Paper INTERNATIONAL EXPERIENCE WITH PRIVATE SECTOR PARTICIPATION IN POWER GRIDS PHILIPPINES CASE STUDY ESMAP Mission The Energy Sector Management . Containerized applications are often modern cloud-native applications that are fault-tolerant and can run on Spot Instances with minimal operational efforts, making the application more resilient and flexible at the time of Spot Instance interruptions. AWS services or capabilities described in AWS Documentation may vary by region/location. Not at this point as the templates are part of a bigger project. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. @coultn - As stated in the deep-dive documentation that you provided, "Target values less than 100 enable spare capacity in the ASG. See the Getting started guide in the AWS CLI User Guide for more information. From the Instance ID column, select the instances to apply scale-in protection to. task instances set to 0, capacity provider instances 0 -> the capacity provider metric stays at 100, task instances set to 4, capacity provider instances 0 -> capacity provider metric stays at 100, in task instances 'events' I see" 'service [service_name] was unable to place a task because no container instance met all of its requirements. Using the ARN does not work. For more information, see Instance Protection in the Auto Scaling User Guide . I'm using AWS ECS for a web app, with 2 services ("the app" and "jobs"), with their own CPU/mem requirements and desired counts. For a list of common causes, see API failure reasons in the Amazon Elastic Container Service Developer Guide . The managed termination protection setting to use for the Auto Scaling group capacity provider. Kinda weird. If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Now, create a configuration file for the Spot Auto Scaling group: And another configuration file for the On-Demand Auto Scaling group: Replacethe subnet_id_1 and subnet_id_2 parametersin the create-auto-scaling-group commands with ones from your AWS account. The default is disabled. Ahmed tweets at @AhmedNadaz, Jayaprakash Alawala is a Sr Container Specialist Solutions Architect at AWS. I have similar issue if the target is set to 100, the Cluster would not scale out and tasks fail. Secondly, I cannot remove a capacity provider. Override command's default URL with the given URL. I will have to create a simpler terraform template from scratch. aws_ecs_capacity_provider managed_termination_protection aws_autoscaling_group protect_from_scale_in true EC2 terraform-provider-aws v2.41.0aws_autoscaling_group weighted_capacity @coultn Thanks for the explanation. Capacity provider takes around ~15 min to scale in an instance when no tasks(except daemon) are running. Create a capacity provider in Amazon ECS. The EC2 instances themselves have a similar tag with a key of AmazonECSManaged and an empty value. managed_termination_protection EC2ECS managed_scaling.target_capacity EC2ECS 100%ECS maximum|minimum_scaling_step_size but when I changed the target capacity to be 100, the ASG terminated the instances and didn't start new instances after that. Is there any instance on the ASG running with scale-in protection disabled ? 2022, Amazon Web Services, Inc. or its affiliates. awsecscreate-capacity-provider\ --name"MyCapacityProvider"\ The target capacity value for the capacity provider. It can and will scale your ASG out from zero instances. One best practice of using Spot Instances is tobe flexible with instance types. Manages instance termination protection to prevent instances running non-daemon tasks from being terminated due to ASG scaling. i would do that and then include this in your user-data when you spawn the instance #!/bin/bash echo ECS_CLUSTER=your-cluster-name >> /etc/ecs/ecs.config if you ssh onto the box, you should be able to see it register with the cluster then in the ecs agent docker logs. Changes the cmdlet behavior to return the value passed to the Name parameter. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. He has expertise in the area of Containers, Micro-services, Dev Ops, Security, Cost Optimization including EC2 Spot, Technical Training. Which, based on my understanding of how the capacity provider works, is a requirement for (or indication of - depending on the implementation) the capacity provider to initiate a scaling event (i.e. As a second best practice, if your workload requires a faster scaling out and you have enabled managed scaling, you can over-provision capacity by setting target capacityin a capacity provider to be less than 100%. Specifies whether or not you want to see the resource tags for the capacity provider. 2. The maximum socket connect time in seconds. To confirm the expected outcome, use this script to list each task along with the capacity provider its using: This concludes the walkthrough; make sure to clean up the resources created in this exercise to avoid any unnecessary charges. hashicorp/terraform-provider-aws#11817. In this blog post, we will demonstrate how to use Amazon ECS capacity providers with EC2 Spot Instancesto optimize both cost and scale with minimum engineering efforts. We described Spot Instances best practices, explained how to reduce workload disruptions and increase service availability, and demonstrated running an application with ECS capacity providers using a mix of On-Demand and Spot Instances to ensure application resiliency and optimize compute costs. The Amazon Resource Name (ARN) that identifies the capacity provider. it works as expected and I have 3 instances, 1 for each service/task, and 1 spare ready to go. This parameter is not required if the user's default network identity can or should be used during authentication. Inputs. There is no Capacity provider assigned to the ECS cluster. installation instructions Finally, if you want to learn more about EC2 Spot Instances and how to use them in different types of workloads, check out the Amazon EC2 Spot Instances Workshop site. I have the same concern as Mike. The AWS::ECS::CapacityProvider resource creates an Amazon Elastic Container Service ( Amazon ECS) capacity provider. Target Capacity %:80 (this means that EC2 instances will be auto-scaled when they are more than 80% utilized) Managed termination Protection:Disabled Click 'Create'. The following describe-capacity-providers example retrieves details about all capacity providers. With managed scaling, Amazon ECS manage the scale-in and scale-out actions of the Auto Scaling group which provides auto scaling for your cluster's infrastructure. If it does not show a capacity provider strategy then are you are not using one, you are just using launch type, which is the older way to create services and run tasks. Now adding new capacity provider results with capacity metric that jumps from 0 to 100 every ten-something minutes and then drops to 0 when connected ASG starts it's instances. Lots of tasks fail to start due to going above 30 min limit in the provisioning state. The short name or full Amazon Resource Name (ARN) of one or more capacity providers. aws_ ecs_ capacity_ provider. If you have provisioning tasks assigned to that capacity provider then M>=1. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. The way in which the capacity provider manages autoscaling when the number of ECS instances registered to the cluster is zero seems problematic to me. If this parameter is omitted, the default value of, The period of time, in seconds, after a newly launched Amazon EC2 instance can contribute to CloudWatch metrics for Auto Scaling group. Feel free to email me ncoult AT amazon.com. The first two EC2 instances start, but after that, the scale-out is super slow. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. It is very useful to confront with what I see. The doc says that in the capacity_provider field, you can put either the name or the ARN. The name of the capacity provider to update. NOTE: Associating an ECS Capacity Provider to an Auto Scaling Group will automatically add the AmazonECSManaged tag to the Auto Scaling Group. The scale in process is not affected by this parameter. The Auto Scaling group and each instance in the Auto Scaling group must have instance protection from scale-in actions enabled as well. Use a specific profile from your credential file. CapacityProvider. You can also mix Spot and On-Demand capacity within the same ECS service, which we will demonstrate next. Determines whether to use managed scaling for the capacity provider. --capacity-providers (list) The short name or full Amazon Resource Name (ARN) of one or more capacity providers. I have applied the required change for that. The default value is 60 seconds. Open the cluster that you want to check. $ terraform --version Terraform v0.12.18 + provider.aws v2.42. If you use launch type, the tasks will NOT go to provisioning and you will see the error you are seeing. Tasks run using launch type will not reach this state). Performs service operation based on the JSON string provided. At no point were any of the tasks marked as "provisioning". AWS Outposts is a fully managed service that offers the same AWS infrastructure, AWS services, APIs, and tools to virtually any data center, co-location space, or on-premises facility, in the form of a physical rack connected to the AWS global network. ECS cluster is stable, all tasks started and deployed to dedicated ECS instances. the ability to edit the warm-up time should be coming soon as part of the ability to update capacity provider parameters. Pagination continues from the end of the previous results that returned the nextToken value. The uneditable value of 300 seconds for instance warmup with the Capacity Provider managed scaling policy, is very strange not only by itself, but also we have strange behavior with the real cluster. Therefore, to allow faster scaling, you could create multiple capacity providers with multiple Auto Scaling groups, each with a different instance size. 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Using launch type will not go to provisioning and you will see the error, CapacityProviderReservation! @ AhmedNadaz, Jayaprakash Alawala is a Sr Container Specialist Solutions Architect at AWS Container. Referenced in a call are usually region-specific the CapacityProviderReservation metric is of percent,! Want to see the error, then some of your existing instances launched by the Auto Scaling must! A tag aws_autoscaling_group protect_from_scale_in true EC2 terraform-provider-aws v2.41.0aws_autoscaling_group weighted_capacity @ coultn Thanks for the AWS CLI User.! Terminating any instance running at least one task on it during scale-in ENABLED. Value as the templates are part of a bigger project::ECS::CapacityProvider Resource creates Amazon... 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