Configure AWS CLI
[root@ip-10-0- ~]# aws configure
AWS Access Key ID [****************PMOQ]:
AWS Secret Access Key [****************k2Af]:
Default region name [None]: us-west-2
Default output format [None]:
AWS CLI structure
$ aws <command> <sub command> [option and parameters]
Parameters can take various types of input values, such as number, string list, maps and JSON structures.
To verify that your CLI tools are set up correctly, run the following command:
# aws –version
aws-cli/1.10.8 Python/2.7.10 Linux/4.4.5-15.26.amzn1.x86_64 botocore/1.4.53
#ec2-describe-regions
[root@ip-10-~]# aws ec2 describe-volumes
You must specify a region. You can also configure your region by running “aws configure”.
[root@ip-10-0-1-205 ~]# aws ec2 describe-instances > output.json
[root@ip-10-0 ~]# aws ec2 describe-volumes –query ‘Volumes[*]{ID:VolumeId,InstanceId:Attachments[0].InstanceId,AZ:AvailabilityZone,Size:Size}’
[
{
“InstanceId”: “i-5496****”,
“AZ”: “us-west-2c”,
“ID”: “vol-267*****”,
“Size”: 100
},
{
“InstanceId”: “i-7ff****”,
“AZ”: “us-west-2b”,
“ID”: “vol-70a******”,
“Size”: 8
},
…………..
{
“InstanceId”: “i-f281****”,
“AZ”: “us-west-2a”,
“ID”: “vol-155****”,
“Size”: 8
}
]
create a bucket
[root@ip-10-0-1…~]# aws s3api create-bucket –bucket ovia-bucket –region us-east-1
{
“Location”: “/ovia-bucket”
}
[root@ip-10-0-1-205 ~]# aws s3 ls
2016-08-19 22:10:56 cf-templates-9d1maiwyivrc-us-west-2
2016-09-21 01:50:45 ovia-bucket
2011-09-05 12:08:04 ovidiu
2016-01-23 14:33:51 ovidocs
copy a local file to s3
[root@ip-10-0-1-~]# aws s3 cp ovi.sh s3://ovia-bucket/ovi3.sh
upload: ./ovi.sh to s3://ovia-bucket/ovi3.sh
[root@ip-10-0-1 ~]# aws s3 ls s3://ovia-bucket
2016-09-21 03:09:57 31 ovi3.sh
copy a file from S3 to S3
[root@ip-10-0-1- ~]# aws s3 cp s3://ovia-bucket/ovi3.sh s3://ovidocs
copy: s3://ovia-bucket/ovi3.sh to s3://ovidocs/ovi3.sh
[root@ip-10-0-1-205 ~]# aws s3 ls s3://ovidocs
2016-09-21 03:12:34 31 ovi3.sh
[root@ip-10-0-1-205 ~]# curl http://169.254.169.254/latest/meta-data/block-device-mapping/
ami
create a ec2 instance via cli
#aws ec2 run-instances –image-id ami-7172b611 –count 1 –instance-type t2.micro –key-name ovi –security-group-ids sg-ceb8eaaa –subnet-id subnet-ccb76aaa –associate-public-ip-address
To launch an instance with user data
You can launch an instance and specify user data that performs instance configuration, or that runs a script. The user data needs to be passed as normal string, base64 encoding is handled internally. The following example passes user data in a file called script.txt that contains a configuration script for your instance. The script runs at launch.
# aws ec2 run-instances --image-id ami-abc1234
--count 1
--instance-type m4.large --key-name keypair
--user-data file://script.txt --subnet-id subnet-abcd1234
--security-group-ids sg-abcd1234
To use –generate-cli-skeleton with aws ec2 run-instances
1
[root@ip-10-0-1-205 ~]# aws ec2 run-instances –generate-cli-skeleton
2.Redirecty the output
#aws ec2 run-instances --generate-cli-skeleton > ec2inst.json
3. Open the skeleton in a text editor and remove any parameters that you will not use:
4. Fill in the values for the instance type, key name, security group and AMI in your default region
5. Pass the JSON configuration to the --cli-input-json parameter using the file:// prefix:
$ aws ec2 run-instances --cli-input-json file://ec2inst.json
A client error (DryRunOperation) occurred when calling the RunInstances operation: Request would have succeeded, but DryRun flag is set.
Infra Cloud Solutions 