AWS
wait_desired_not_equals_healthy_tags
Wait until the desired number doesn't match the number of healthy instances for each of the auto-scaling groups matching tags provided
Resumes 1 or more suspended processes on a list of auto-scaling groups.
Below are the details and signature of the activity Python module.
Type | action |
Module | chaosaws.asg.actions |
Name | resume_processes |
Return | mapping |
If no process is specified, all suspended auto-scaling processes will be resumed.
For a list of valid processes that can be suspended, reference: https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-suspend-resume-processes.html
Usage
JSON
{
"name": "resume-processes",
"type": "action",
"provider": {
"type": "python",
"module": "chaosaws.asg.actions",
"func": "resume_processes"
}
}
YAML
name: resume-processes
provider:
func: resume_processes
module: chaosaws.asg.actions
type: python
type: action
Arguments
Name | Type | Default | Required | Title | Description |
---|---|---|---|---|---|
asg_names | list | null | No | ASG Names | One or many ASG names as a JSON encoded list |
tags | list | null | No | ASG Tags | List of AWS tags for to identify ASG by tags instead of by names |
process_names | list | null | No | Process Names | List of process names to check for |
One of:
tags
are expected as a list of dictionary objects:
[
{'Key': 'TagKey1', 'Value': 'TagValue1'},
{'Key': 'TagKey2', 'Value': 'TagValue2'},
...
]
Signature
def resume_processes(
asg_names: List[str] = None,
tags: List[Dict[str, str]] = None,
process_names: List[str] = None,
configuration: Dict[str, Dict[str, str]] = None,
secrets: Dict[str, Dict[str, str]] = None) -> Dict[str, Any]:
pass