ecschedule
ecschedule is a tool to manage ECS Scheduled Tasks.
Synopsis
% ecschedule [dump|apply|run|diff] -conf ecschedule.yaml -rule $ruleName
Description
The ecschedule manages ECS Schedule tasks using a configuration file (YAML, JSON or Jsonnet format) like following.
region: us-east-1
cluster: clusterName
rules:
- name: taskName1
description: task 1
scheduleExpression: cron(30 15 ? * * *)
taskDefinition: taskDefName
containerOverrides:
- name: containerName
command: [subcommand1, arg]
environment:
HOGE: foo
FUGA: {{ must_env `APP_FUGA` }}
- name: taskName2
description: task2
scheduleExpression: cron(30 16 ? * * *)
taskDefinition: taskDefName2
containerOverrides:
- name: containerName2
command: [subcommand2, arg]
Installation
% brew install Songmu/tap/ecschedule
# or
% go install github.com/Songmu/ecschedule/cmd/ecschedule@latest
GitHub Actions
Action Songmu/ecschedule@main installs ecschedule binary for Linux into /usr/local/bin. This action runs install only.
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- uses: Songmu/ecschedule@main
- run: |
ecschedule -conf ecschedule.yaml apply -all
Quick Start
dump configuration YAML
% ecschedule dump --cluster clusterName --region us-east-1 > ecschedule.yaml
edit and adjust configuration file after it.
apply new or updated rule
% ecschedule -conf ecschedule.yaml apply -rule $ruleName
Before you apply it, you can check the diff in the following way.
% ecschedule -conf ecschedule.yaml diff -rule $ruleName
run rule
Execute run
subcommand when want execute arbitrary timing.
% ecschedule -conf ecschedule.yaml run -rule $ruleName
-prune
option to manage rules
Using the In version v0.9.1
and earlier, when rules were renamed or deleted from the configuration, the old rules remained and had to be deleted manually. With the -prune
option introduced in v0.10.0
, you can now automatically remove these old rules.
% ecschedule -conf ecschedule.yaml apply -all -prune
To see which rules would be deleted without actually removing them, combine with the -dry-run
option.
% ecschedule -conf ecschedule.yaml apply -all -prune -dry-run
Functions
You can use following functions in the configuration file.
env
- expand environment variable or using default value
{{ env "ENV_NAME" "DEFAULT_VALUE" }}
must_env
- expand environment variable
{{ must_env "ENV_NAME" }}
inspired by ecspresso.
Plugins
tfstate
tfstate plugin introduces a template function tfstate
.
region: us-east-1
cluster: api
role: ecsEventsRole
rules:
- name: hoge-task-name
description: hoge description
scheduleExpression: cron(0 0 * * ? *)
taskDefinition: task1
group: xxx
platform_version: 1.4.0
launch_type: FARGATE
network_configuration:
aws_vpc_configuration:
subnets:
- {{ tfstate `aws_subnet.private-a.id` }}
- {{ tfstate `aws_subnet.private-c.id` }}
security_groups:
- {{ tfstatef `data.aws_security_group.default['%s'].id` `first` }}
- {{ tfstatef `data.aws_security_group.default['%s'].id` `second` }}
assign_public_ip: ENABLED
containerOverrides:
- name: container1
command: ["subcmd", "argument"]
environment:
HOGE_ENV: {{ env "DUMMY_HOGE_ENV" "HOGEGE" }}
cpu: 1024
memory: 1024
memoryReservation: 512
dead_letter_config:
sqs: queue1
propagateTags: TASK_DEFINITION
plugins:
- name: tfstate
config:
path: testdata/terraform.tfstate # path to tfstate file
# or url: s3://my-bucket/terraform.tfstate
{{ tfstate "resource_type.resource_name.attr" }}
will expand to an attribute value of the resource in tfstate.
{{ tfstatef "resource_type.resource_name['%s'].attr" "index" }}
is similar to {{ tfstatef "resource_type.resource_name['index'].attr" }}
.
This function is useful to build a resource address with environment variables.
{{ tfstatef `aws_subnet.ecs['%s'].id` (must_env `SERVICE`) }}
Pitfalls
Rule Name Uniqueness and Overwrite Risks
ecschedule is designed to guarantee the uniqueness of job definitions by rule name in the configuration file.
If ecschedule is run in an environment where a Rule that is not managed by ecschedule already exists, ecschedule will overwrite that Rule. If you do not intend to overwrite, please ensure that the names written in the configuration file do not duplicate with existing Rules.
Note on Previous Versions
In versions v0.9.1
and earlier, there were issues related to rule name changes causing garbage definitions and rules not being deleted from AWS when removed from the configuration file. These issues have been addressed in version v0.10.0
with the introduction of the -prune
option.