I'm a beginner in using AWS.
I just want to stop and start several EC2 instances automatically and periodically(Not reboot).
Is there any recommended way to do this?
If you want to assign it as Self-Stopping on Self-Terminating, you can do it one time only. In your EC2 Console go to Instance Settings, change Shutdown Behavior to Stop.
To schedule maintenance window start or stop actions, you must use an AWS Identity and Access Management (IAM) role with ec2:StartInstances and ec2:StopInstances permissions. Note: The IAM role requires permissions only for the Automation task that you register to the maintenance window.
Amazon recently (Feb 2018) released the EC2 instance scheduler tool:
The AWS Instance Scheduler is a simple AWS-provided solution that enables customers to easily configure custom start and stop schedules for their Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Relational Database Service (Amazon RDS) instances. The solution is easy to deploy and can help reduce operational costs for both development and production environments. Customers who use this solution to run instances during regular business hours can save up to 70% compared to running those instances 24 hours a day.
I had this up and running in my account in 15 minutes; very simple to use, and practically free.
https://aws.amazon.com/answers/infrastructure-management/instance-scheduler/
AWS has a good doc explaining how you can achieve this using Lambda and Cloudwatch events. You can refer it - https://aws.amazon.com/premiumsupport/knowledge-center/start-stop-lambda-cloudwatch/
This solution can be modified to get the EC2 list dynamically, or operate on a set of instances which can be identified based on a certain tag.
Yes, you can do that using AWS Lambda. You can select the trigger in Cloudwatch which runs on Cron expressions on UTC.
Here is a related link https://aws.amazon.com/premiumsupport/knowledge-center/start-stop-lambda-cloudwatch/
Another alternative is to use awscli
which is available from pip
, apt-get
, yum
or brew
, and then running aws configure
with your credentials from IAM and executing the following bash script, to stop an EC2 that has been tagged with Name: Appname
and Value: Appname Prod
. You can use awscli
to tag your instances or tag it manually from the AWS console. aws ec2 stop-instances
will stop the instance and jq
is used to filter the json query and fetch the correct instance id using the tags from aws ec2 describe-instances
.
To verify that aws configure
was successful and returns json output run aws ec2 describe-instances
and your running instance id should be there in the output. Here is a sample output
{
"Reservations": [
{
"Instances": [
{
"Monitoring": {
"State": "disabled"
},
"PublicDnsName": "ec2-xxx.ap-south-1.compute.amazonaws.com",
"State": {
"Code": xx,
"Name": "running"
},
"EbsOptimized": false,
"LaunchTime": "20xx-xx-xxTxx:16:xx.000Z",
"PublicIpAddress": "xx.127.24.xxx",
"PrivateIpAddress": "xxx.31.3.xxx",
"ProductCodes": [],
"VpcId": "vpc-aaxxxxx",
"StateTransitionReason": "",
"InstanceId": "i-xxxxxxxx",
"ImageId": "ami-xxxxxxx",
"PrivateDnsName": "ip-xxxx.ap-south-1.compute.internal",
"KeyName": "node",
"SecurityGroups": [
{
"GroupName": "xxxxxx",
"GroupId": "sg-xxxx"
}
],
"ClientToken": "",
"SubnetId": "subnet-xxxx",
"InstanceType": "t2.xxxxx",
"NetworkInterfaces": [
{
"Status": "in-use",
"MacAddress": "0x:xx:xx:xx:xx:xx",
"SourceDestCheck": true,
"VpcId": "vpc-xxxxxx",
"Description": "",
"NetworkInterfaceId": "eni-xxxx",
"PrivateIpAddresses": [
{
"PrivateDnsName": "ip-xx.ap-south-1.compute.internal",
"PrivateIpAddress": "xx.31.3.xxx",
"Primary": true,
"Association": {
"PublicIp": "xx.127.24.xxx",
"PublicDnsName": "ec2-xx.ap-south-1.compute.amazonaws.com",
"IpOwnerId": "xxxxx"
}
}
],
"PrivateDnsName": "ip-xxx-31-3-xxx.ap-south-1.compute.internal",
"Attachment": {
"Status": "attached",
"DeviceIndex": 0,
"DeleteOnTermination": true,
"AttachmentId": "xxx",
"AttachTime": "20xx-xx-30Txx:16:xx.000Z"
},
"Groups": [
{
"GroupName": "xxxx",
"GroupId": "sg-xxxxx"
}
],
"Ipv6Addresses": [],
"OwnerId": "xxxx",
"PrivateIpAddress": "xx.xx.xx.xxx",
"SubnetId": "subnet-xx",
"Association": {
"PublicIp": "xx.xx.xx.xxx",
"PublicDnsName": "ec2-xx.ap-south-1.compute.amazonaws.com",
"IpOwnerId": "xxxx"
}
}
],
"SourceDestCheck": true,
"Placement": {
"Tenancy": "default",
"GroupName": "",
"AvailabilityZone": "xx"
},
"Hypervisor": "xxx",
"BlockDeviceMappings": [
{
"DeviceName": "/dev/xxx",
"Ebs": {
"Status": "attached",
"DeleteOnTermination": true,
"VolumeId": "vol-xxx",
"AttachTime": "20xxx-xx-xxTxx:16:xx.000Z"
}
}
],
"Architecture": "x86_64",
"RootDeviceType": "ebs",
"RootDeviceName": "/dev/xxx",
"VirtualizationType": "xxx",
"Tags": [
{
"Value": "xxxx centxx",
"Key": "Name"
}
],
"AmiLaunchIndex": 0
}
],
"ReservationId": "r-xxxx",
"Groups": [],
"OwnerId": "xxxxx"
}
]
}
The following bash script is stop-ec2.sh
in /home/centos/cron-scripts/
(instance=$(aws ec2 describe-instances | jq '.Reservations[].Instances | select(.[].Tags[].Value | startswith("Appname Prod") ) | select(.[].Tags[].Key == "Appname") | {InstanceId: .[].InstanceId, PublicDnsName: .[].PublicDnsName, State: .[].State, LaunchTime: .[].LaunchTime, Tags: .[].Tags} | [.]' | jq -r .[].InstanceId) && aws ec2 stop-instances --instance-ids ${instance} )
Run the file using sh /home/centos/cron-scripts/stop-ec2.sh
and verify that the EC2 instance gets stopped. To debug run aws ec2 describe-instances | jq '.Reservations[].Instances | select(.[].Tags[].Value | startswith("Appname Prod") ) | select(.[].Tags[].Key == "Appname") | {InstanceId: .[].InstanceId, PublicDnsName: .[].PublicDnsName, State: .[].State, LaunchTime: .[].LaunchTime, Tags: .[].Tags} | [.]' | jq -r .[].InstanceId
and see that it returns the correct instance ID which has been tagged.
Then in crontab -e
the following line can be added
30 14 * * * sh /home/centos/cron-scripts/stop-ec2.sh >> /tmp/stop
which will log the output to /tmp/stop
. The 30 14 * * *
is the UTC cron expression that you can check in https://crontab.guru/
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With