Container Deploy and Manage System at Amazon EC2 Container Service(ECS). You can use YAML files to manage docker container(task-definition at ECS). And when kangol catches the errors at ECS deploy, it can revert before revision automatically.
go get -u github.com/kohey18/kangol
- setting up environment variable for AWS credential
export AWS_ACCESS_KEY_ID=<YOUR AWS_ACCESS_KEY_ID>
export AWS_SECRET_ACCESS_KEY=<YOUR AWS_SECRET_ACCESS_KEY>
export AWS_DEFAULT_REGION=<ECS AWS_DEFAULT_REGION>
and then, if you colud through the GOPATH at your environment. You can use like this.
kangol --conf ./nginx.yml
GLOBAL OPTIONS:
--conf ECS service family at task definition
--tag --tag has a container tag
--debug --debug has a debug mode
--loading --loading has a loading while deploying
--help, -h show help
--version, -v print the version
if you want to change docker container tag
kangol --conf ./api.yml --tag api:<CONTAINER_TAG_NUM>
(ex)
kangol --conf ./api.yml --tag api:b34cda71
You want to stop all container at a service before you want to deployed because ECS show 'resouce not found' because of few your resouces in your cluster.
I'll recommend to apply your development enviroment at ECS.
(ex)
kangol --conf ./nginx.yml --tag nginx:latest --debug
if you think kangol loading disturbed your deployment enviroment, you should add loading option. When you off lading option, kangol will not show loading while deploying.
(ex) loading on
kangol --conf ./nginx.yml --tag nginx:latest --debug --loading
(ex) loading off
kangol --conf ./nginx.yml --tag nginx:latest --debug
cluster: "CLUSTER NAME"
service: "SERVICE NAMAE"
desiredCount: "desirecCount at Cluster"
name: "task-definition-Name"
task:
"container-name":
image: "your-registry/image-name:tag"
cpu: container-cpu-unit
memory: container-memory
portMappings:
- containerPort: container-port
hostPort: host-port
protocol: "tcp" etc
essential: true or false
environment:
- name: "JAVA_OPTS"
value: "-Dconfig.resource=api.conf
logConfiguration:
logDriver: fluentd
options:
fluentdAddress: "your logger host"
tag: "docker.{{.Name}}"
- example
cluster: "dev"
service: "api"
desiredCount: 1
name: "api"
task:
api:
image: "kohey18/api:latest"
cpu: 512
memory: 1800
portMappings:
- containerPort: 9000
hostPort: 4000
protocol: "tcp"
essential: true
environment:
- name: "JAVA_OPTS"
value: "-Dconfig.resource=api.conf
logConfiguration:
logDriver: fluentd
options:
fluentdAddress: fluentd.example.com
tag: "docker.{{.Name}}"
nginx:
image: "kohey18/nginx:latest"
cpu: 512
memory: 1800
portMappings:
- containerPort: 9000
hostPort: 4000
protocol: "tcp"
essential: true