Deleting a step scaling policy deletes the underlying alarm action, but does not delete the CloudWatch alarm associated with the scaling policy, even if it no longer has an associated action. The namespace of the AWS service that provides the resource or custom-resource for a resource provided by your own application or service. The identifier of the resource associated with the scalable target.
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This string consists of the resource type and unique identifier. The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
This example deletes a scaling policy for the Amazon ECS service called web-app, which is running in the default cluster. The identifier of the resource associated with the scheduled action. The scalable dimension associated with the scalable target. This example deregisters a scalable target for an Amazon ECS service called web-app that is running in the default cluster. You can filter the results using ResourceIds and ScalableDimension.
To create a scalable target or update an existing one, see RegisterScalableTarget.
If you are no longer using a scalable target, you can deregister it using DeregisterScalableTarget. If you specify a scalable dimension, you must also specify a resource ID.
The maximum number of scalable targets. This value can be between 1 and The default value is If this parameter is used, the operation returns up to MaxResults results at a time, along with a NextToken value. To get the next set of results, include the NextToken value in a subsequent call. If this parameter is not used, the operation returns up to 50 results and a NextToken value, if applicable. Whether scale in by a target tracking scaling policy or a step scaling policy is suspended.
Set the value to true if you don't want Application Auto Scaling to remove capacity when a scaling policy is triggered. The default is false. Whether scale out by a target tracking scaling policy or a step scaling policy is suspended.
How to use waiters in boto3 (And how to write your own!)
Set the value to true if you don't want Application Auto Scaling to add capacity when a scaling policy is triggered. Whether scheduled scaling is suspended. Set the value to true if you don't want Application Auto Scaling to add or remove capacity by initiating scheduled actions. The token required to get the next set of results. This value is null if there are no more results to return. Provides descriptive information about the scaling activities in the specified namespace from the previous six weeks.
You can filter the results using ResourceId and ScalableDimension. Scaling activities are triggered by CloudWatch alarms that are associated with scaling policies. To view the scaling policies for a service namespace, see DescribeScalingPolicies. To create a scaling policy or update an existing one, see PutScalingPolicy. The identifier of the resource associated with the scaling activity.
This example describes the scaling activities for an Amazon ECS service called web-app that is running in the default cluster. If you are no longer using a scaling policy, you can delete it using DeleteScalingPolicy.
The identifier of the resource associated with the scaling policy. Specifies whether the ScalingAdjustment value in a StepAdjustment is an absolute number or a percentage of the current capacity.You are viewing the documentation for an older version of boto boto2.
Boto3the next version of Boto, is now stable and recommended for general use. It can be used side-by-side with Boto in the same project, so it is easy to start using Boto3 in your existing projects as well as new projects. Going forward, API updates and all new feature work will be focused on Boto3.
For more information, see the documentation for boto3. Creates a scheduled scaling action for a Auto Scaling group. If you leave a parameter unspecified, the corresponding value remains unchanged in the affected Auto Scaling group. Deletes the specified auto scaling group if the group has no instances and no scaling activities in progress.
The specified launch configuration must not be attached to an Auto Scaling group. Once this call completes, the launch configuration is no longer available for use.
You can specify the list of affected metrics with the Metrics parameter. You can specify the list of enabled metrics with the Metrics parameter. Auto scaling metrics collection can be turned on only if the InstanceMonitoring. This action supports pagination by returning a token if there are more pages to retrieve. To get the next page, call this action again with the returned token as the NextToken parameter. List of boto. Activity instances. If a list is not provided, the service returns the full details of all instances up to a maximum of fifty.
Instance objects. Returns a full description of each Auto Scaling group in the given list. This includes all Amazon EC2 instances that are members of the group.
If a list of names is not provided, the service returns the full details of all Auto Scaling groups.
AutoScalingGroup instances.Or get the latest tarball on PyPI. Resource APIs. Boto3 has two distinct levels of APIs. For example:. This allows us to provide very fast updates with strong consistency across all supported services. Boto3 comes with 'waiters', which automatically poll for pre-defined status changes in AWS resources. For example, you can start an Amazon EC2 instance and use a waiter to wait until it reaches the 'running' state, or you can create a new Amazon DynamoDB table and wait until it is available to use.
Boto3 has waiters for both client and resource APIs. Boto3 comes with many features that are service-specific, such as automatic multi-part transfers for Amazon S3 and simplified query conditions for Amazon DynamoDB. Key Features. Support for Python 2 and 3 Boto3 was written from the ground up to provide native support in Python versions 2.
Waiters Boto3 comes with 'waiters', which automatically poll for pre-defined status changes in AWS resources. Service-specific High-level Features Boto3 comes with many features that are service-specific, such as automatic multi-part transfers for Amazon S3 and simplified query conditions for Amazon DynamoDB.
Additional Resources. Looking for the older version of Boto?GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Already on GitHub? Sign in to your account. We should probably discuss this. This is misleading if you specify multiple groups. Autoscaling will just omit that group from its returned list.
Bringing in relevant parties: awood45 jeskew. If that is the case, would it be impossible to wait for multiple groups because we cannot inject input parameters to the acceptors using our current waiters spec since we would need to know how many groups the user specified? So when we were pulling in the waiters, we realized that the implementation does not handle multiple autoscaling groups. It might be a while till we can pull this into botocore for two reasons:.
Skip to content. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.
Sign up. New issue. Add autoscaling waiters kyleknap wants to merge 2 commits into boto : develop from kyleknap : autoscaling-waiters. Conversation 7 Commits 2 Checks 0 Files changed. Copy link Quote reply. Add autoscaling waiters.GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
Already on GitHub? Sign in to your account. Having a waiter that would tell me when instances in the new group have finished launching would help a lot. Thanks, I'll mark this as a feature request. In the meantime, I think you'd need to describe the autoscaling group and poll the instances in the group until they are marked as InService. This would be great for a project we're doing at the company I work at also.
Right now I just have a 30 minute celery job that checks to see if anything has been done Loops and whiles on response codes is a solution but its a bit dirty and could be nicer.
Searched the boto3 docs but did not see any waiter name there. Have you tried with cfn-helpers? Skip to content.Uploading Files to S3 in Python Using Boto3
Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Sign up. New issue. Jump to bottom. Labels feature-request waiters. Copy link Quote reply. I'd like to script a blue-green deployment between two auto scaling groups. This comment has been minimized. Sign in to view. Add autoscaling waiters AutoScaling waiters 5. Any update on this? Does any one implemented it or any suggestion in this regards.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment. Linked pull requests. You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window.When you attach instances, Amazon EC2 Auto Scaling increases the desired capacity of the group by the number of instances being attached.
If the number of instances being attached plus the desired capacity of the group exceeds the maximum size of the group, the operation fails. If there is a Classic Load Balancer attached to your Auto Scaling group, the instances are also registered with the load balancer. If there are target groups attached to your Auto Scaling group, the instances are also registered with the target groups.
With Classic Load Balancers, instances are registered with the load balancer. Creates or updates one or more scheduled scaling actions for an Auto Scaling group.
If you leave a parameter unspecified when updating a scheduled scaling action, the corresponding value remains unchanged. Describes one or more scheduled scaling action updates for a specified Auto Scaling group. When updating a scheduled scaling action, all optional parameters are left unchanged if not specified. If you specify Recurrence and StartTimeAmazon EC2 Auto Scaling performs the action at this time, and then performs the action based on the specified recurrence.
The date and time for the recurring schedule to end. Amazon EC2 Auto Scaling does not perform the action after this time. The recurring schedule for the action, in Unix cron syntax format. For more information about this format, see Crontab. When StartTime and EndTime are specified with Recurrencethey form the boundaries of when the recurring action starts and stops.
The names of the scheduled actions that could not be created or updated, including an error message. The action for the group to take. This example notifies Auto Scaling that the specified lifecycle action is complete so that it can finish launching or terminating the instance.
If you exceed your maximum limit of Auto Scaling groups, the call fails. For information about viewing this limit, see DescribeAccountLimits. An embedded object that specifies a mixed instances policy. The required parameters must be specified.Released: Apr 8, Type annotations for boto3 1. View statistics for this project via Libraries.
Tags boto3, type-annotations, boto3-stubs, mypy, mypy-stubs, typeshed, autocomplete, auto-generated. Generated by mypy-boto3-buider 1. Make sure you have mypy installed and activated in your IDE. This package generates a few source files depending on services that you installed. Generation is done by a post-install script, so as long as you use pippipfile or poetry everything should be done automatically.
However, if you use any other way or notice that services stubs do not work, you can build services index manually. If you generate requirements. Some files are generated by service post-install scripts, so pip does not fully remove packages.
To properly uninstall boto3-stubsuse these commands:. Official mypy plugin does not work for some reason for me. If you know how to setup it correctly, please hep me to update this section. You need explicit type annotations for code auto-complete, but mypy works even without them.
So implicit type annotations support has been removed as it is not useful. However, there is an issue in pylint that it complains about undefined variables. Fully automated mypy-boto3-builder carefully generates type annotations for each service, patiently waiting for boto3 updates. It delivers a drop-in type annotations for you and makes sure that:. Builder changelog can be found in Releases. Apr 8, Apr 7, Apr 6, Apr 3, Apr 2, Apr 1, Mar 31, Mar 30, Mar 27, Mar 26, Mar 25, Mar 24, Mar 23, Mar 20, Mar 19, Mar 18, Mar 17, Mar 16,