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Experiment to use SSM RunCommand instead of SSH

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SSM shell

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Little experiment to mimic SSH by using SSM agent to send commands to remote instances and fetching the output.

Install

Grab a binary from the releases.

Docker

There is also a docker image here.

Manual install

Have Go installed:

$ which go
/usr/local/bin/go

$ echo $GOPATH
/Users/dalmo/go

$ echo $PATH
# Make sure $GOPATH/bin is in your PATH.

Get the repository:

go get -u github.com/itsdalmo/ssm-sh

If everything was successful, you should have a shiny new binary:

which ssm-sh
# Should point to $GOPATH/bin/ssm-sh

Usage

$ ssm-sh --help

Usage:
  ssm-sh [OPTIONS] <list | run | shell>

AWS Options:
  -p, --profile= AWS Profile to use. (If you are not using Vaulted).
  -r, --region=  Region to target. (default: eu-west-1)

Help Options:
  -h, --help     Show this help message

Available commands:
  list   List managed instances. (aliases: ls)
  run    Run a command on the targeted instances.
  shell  Start an interactive shell. (aliases: sh)

List usage

$ ssm-sh list --help

...
[list command options]
      -f, --filter= Filter the produced list by tag (key=value,..)
      -l, --limit=  Limit the number of instances printed (default: 50)
      -o, --output= Path to a file where the list of instances will be written as JSON.

Run/shell usage

$ ssm-sh run --help

...
[run command options]
      -i, --timeout=       Seconds to wait for command result before timing out. (default: 30)
      -t, --target=        One or more instance ids to target
          --target-file=   Path to a JSON file containing a list of targets.

    SSM options:
      -x, --extend-output  Extend truncated command outputs by fetching S3 objects containing full ones
      -b, --s3-bucket=     S3 bucket in which S3 objects containing full command outputs are stored. Required when --extend-output is provided.
      -k, --s3-key-prefix= Key prefix of S3 objects containing full command outputs.

Example

$ vaulted -n lab-admin -- ssm-sh list --filter Name="*itsdalmo" -o example.json

Instance ID         | Name                             | State   | Image ID     | Platform     | Version | IP            | Status | Last pinged
i-03762678c45546813 | ssm-manager-manual-test-itsdalmo | running | ami-db1688a2 | Amazon Linux | 2.0     | 172.53.17.163 | Online | 2018-02-09 12:37
i-0d04464ff18b5db7d | ssm-manager-manual-test-itsdalmo | running | ami-db1688a2 | Amazon Linux | 2.0     | 172.53.20.172 | Online | 2018-02-09 12:39

$ vaulted -n lab-admin -- ssm-sh shell --target-file example.json
Initialized with targets: [i-03762678c45546813 i-0d04464ff18b5db7d]
Type 'exit' to exit. Use ctrl-c to abort running commands.

$ ps aux | grep agent
i-03762678c45546813 - Success:
root      3261  0.0  1.9 243560 19668 ?        Ssl  Jan27   4:29 /usr/bin/amazon-ssm-agent
root      9058  0.0  0.0   9152   936 ?        S    15:02   0:00 grep agent

i-0d04464ff18b5db7d - Success:
root      3245  0.0  1.9 317292 19876 ?        Ssl  Feb05   0:27 /usr/bin/amazon-ssm-agent
root      4893  0.0  0.0   9152   924 ?        S    15:02   0:00 grep agent

$ echo $HOSTNAME
i-03762678c45546813 - Success:
ip-172-53-17-163.eu-west-1.compute.internal

i-0d04464ff18b5db7d - Success:
ip-172-53-20-172.eu-west-1.compute.internal

Note

If you don't see any instances listed and still want to test ssm-sh, you can see the terraform/README.md for a quick way of setting up some test instances.

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Experiment to use SSM RunCommand instead of SSH

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