awless

command module
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Published: May 5, 2017 License: Apache-2.0 Imports: 1 Imported by: 0

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awless is a fast, powerful and easy-to-use command line interface (CLI) to manage Amazon Web Services.

Twitter | Wiki | Changelog

Why awless

awless will help you

  • run frequent actions by using simple commands
  • easily explore your infrastructure and cloud resources inter relations via CLI
  • ensure smart defaults & security best practices
  • manage resources through robust runnable & scriptable templates (see awless templates)
  • ssh connect cleanly and simply to cloud instances
  • explore, analyse and query your infrastructure offline

awless brings a new approach to manage AWS infrastructures through CLI.

Overview

video of a few awless commands
Note that this video is in APNG. On Chrome, you need an extension to view it.

  • Clear and easy listing of multi-region cloud resources (subnets, instances, groups, users, etc.) on AWS EC2, IAM and S3: awless list
  • Output formats either human (Markdown-compatible tables, trees) or machine readable (csv, tsv, json, ...): --format
  • Explore a resource given only an id, name or arn (properties, relations, dependencies, ...): awless show
  • Creation, update and deletion (CRUD) of cloud resources and complex infrastructure with smart defaults and sound autocomplete through powerful awless templates: awless run my-awless-templates/create_my_infra.txt
  • Powerful CRUD CLI one-liner (integrated in the awless templating engine) with: awless create instance ..., awless create vpc ..., awless attach policy ...
  • Leveraging AWS userdata to provision instance on creation from remote (i.e http) or local scripts: awless create instance userdata=http://...
  • Easy reporting of all the CLI template executions: awless log
  • Revert of executed templates and resources creation: awless revert
  • Clean and simple ssh to instances: awless ssh
  • Aliasing of resources through their natural name so you don't have to always use cryptic ids that are impossible to remember
  • Inspectors are small CLI utilities to run analysis on your cloud resources graphs: awless inspect
  • Manual sync mode to fetch & store resources locally. Then query & inspect your cloud offline: awless sync
  • CLI autocompletion for Unix/Linux's bash and zsh awless completion

Design concepts

  1. RDF is used internally to sync and model cloud resources locally. This permits a good flexibility in modeling while still allowing for DAG (Directed Acyclic Graph) properties and classic graph/tree traversal.
  2. Awless templates define a basic DSL (Domain Specific Language) for managing cloud resources. Templates are parsed against a PEG (parsing expression grammar) allowing for robust parsing, AST building/validation and execution of this AST through given official cloud drivers (ex: aws-sdk-go for AWS). More details on awless templates on the wiki.

Install

Choose one of the following options:

  1. On macOS, use homebrew: brew tap wallix/awless; brew install awless
  2. With curl (macOS/Linux), run: curl https://raw.githubusercontent.com/wallix/awless/master/getawless.sh | bash
  3. Download the latest awless binaries (Windows/Linux/macOS) from Github
  4. If you have Golang already installed, install from the source with: go get github.com/wallix/awless

Getting started

Setup your AWS account with awless

You basically need your AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY exported in your environment.

If you have previously used aws CLI or aws-shell, you don't need to do anything! Your credentials will be automatically loaded by awless from the ~/.aws/credentials folder.

Otherwise, get your AWS credentials from IAM console. Then, you can download and store them to ~/.aws/credentials (Unix) or %UserProfile%\.aws\credentials (Windows).

For more options, see Installation (wiki).

Changing AWS region or profile

There is 3 ways to customize the AWS region/profile used in awless:

  1. awless config: aws.region/aws.profile. Ex: awless config set aws.region eu-west-1
  2. AWS env variables: AWS_DEFAULT_REGION/AWS_DEFAULT_PROFILE
  3. Global flags: --aws-region/--aws-profile. Ex: awless list subnets -v --aws-region eu-west-1 (Note: -v verbose flag shows region and profile)

At runtime, the latests overwrite the previous ones. For example, the AWS_DEFAULT_REGION env variable takes precedence over awless config key. Similarly, the --aws-region flag takes precedence over AWS_DEFAULT_REGION and awless config key.

Setup shell autocompletion

Awless has commands, subcommands and flag completion. It becomes really useful for CRUD oneliner when managing resources for example.

Read the wiki page for setting autocompletion for bash or zsh.

Disclaimer

Awless allows for easy resource creation with your cloud provider; we will not be responsible for any cloud costs incurred (even if you create a million instances using awless templates).

First awless commands

awless works by performing commands, which query either the AWS services or a local snapshot of the cloud services.

Listing resources

You can list various resources:

awless list buckets
awless list instances --sort uptime

# ls is an alias for list
awless ls users --format csv             
awless ls roles --sort name,id
awless ls vpcs --format=json

Listing resources by default performs queries directly to AWS. If you want, you can also query the local snapshot:

awless list subnets --local

Use awless list, awless list -h or awless help list to see all resources that can be listed.

When dealing with long lists of resources you can filter with the --filter flag as such:

awless list volumes --filter state=in-use --filter type=gp2

# or with a csv notation
awless list instances --filter state=running,type=t2.micro 

# when dealing with name with spaces use
awless list instances --filter "private ip"=127.0.0.1

For instance, you could list all storage objects in a given bucket using only local data with:

awless --local ls s3objects --filter bucketname=pdf-bucket 

Note that filters:

  1. ignore case when matching
  2. will match when result string contains the search string (ex: --filter state=Run will match instances with state running)
Showing resources

awless show is quite useful to get a good overview on a resource and to show where its stands in your cloud.

The show command needs only one arg which is a reference to a resource. It first searches the resource by id. If found it stops. Otherwise it looks up by name and then arn. To force a lookup by name prefix the reference with a '@'.

# show instance via its id: relations to subnets, vpcs, region, ...
awless show i-34vgbh23jn        

# show bucket forcing search by name: objects, siblings, ...
awless show @my-bucket          

# show user using local data: user's policies, ...
# snappy! will not refetch but work with the local graph
awless show admin-user --local  

Basically awless show try to maximize the info nicely on your terminal for a given resource

Creating, Updating and Deleting resources

awless provides a powerful template system to interact with cloud infrastructures.

awless templates can be used through oneliner shortcut commands:

Using the help:

awless create                # show what resource can be created
awless delete -h             # same as above
awless create instance -h    # show required & extra params for instance creation

Then:

awless create instance       # will start a prompt for any missing params
awless delete subnet id=subnet-12345678
awless attach volume id=vol-12345678 instance=i-12345678

Check out more examples at Examples

You can also run an awless template from a predefined template file with:

awless run awless-templates/create_instance_ssh.aws

In each case, the CLI guide you through any running of a template (file template or one-liner) so you always have the chance to confirm or quit.

For instance, you will get id/name autocompletion to fill in any missing info.

Note that you can get inspired with our in progress repo of pre-existing templates

You can also run remote templates with:

awless run repo:create_instance_ssh.aws       # from official awless repo
awless run http://mydomain.com/mytemplate.aws # from a remote url

Also more info on the design of the templates at Templates (wiki).

Log & revert executed template commands

To list a detailed account of the last actions you have run on your cloud:

awless log

Each awless command that changes the cloud infrastructure is associated with an unique id referencing the (un)successful actions. Using this id you can revert a executed template with:

awless revert 01B89ZY529E5D7WKDTQHFC0RPA

The CLI guide you through a revert action and you have the chance to confirm or quit.

Sync

awless syncs automatically (autosync) the remote cloud resources locally as RDF graphs.

Basically the autosync runs after resources creation, deletion and before you want to explore resources (awless show)

More precisely, the sync automically runs:

  • post the awless run command
  • post the template one-liners awless create, awless delete, etc.
  • pre the awless show command

You can disable the autosync with awless config set autosync false

You can also manually run a sync with awless sync. The command output will show in details what has been done.

Note that you can configure the sync per services and per resources. For example:

# disable sync for queue service (sqs) entirely
awless config set aws.queue.sync false 

# enable sync for s3object resources in the storage service (s3)
awless config set aws.storage.s3object.sync true 

# disable sync for load balancing resources (elbv2) in the infra service
awless config set aws.infra.loadbalancer.sync false 
awless config set aws.infra.targetgroup.sync false 
awless config set aws.infra.listener.sync false 
SSH

awless ssh provides an easy way to connect via SSH to an instance via its name, without needing either the AWS ID, public IP, key name nor account username.

If your local host has a SSH client installed, awless will use it to connect. Otherwise, it falls back on an the Golang embedded SSH client (ex: some Windows machines or minimalistic cloud instances that pilot awless).

Connecting to an instance through SSH the key and default SSH user are deduced automatically by awless.

So you can simply and directly ssh to an instance with:

awless ssh my-instance-name  # with a name
awless ssh i-abcd1234        # with an id

You can still specify an SSH user or a SSH key though with:

awless ssh ubuntu@i-abcd1234
awless ssh -i ~/.ssh/mykey ubuntu@i-abcd1234

Useful as well, you can also print the SSH config or SSH CLI for any valid instances with:

awless ssh my-instance --print-config >> ~/.ssh/config
# or 
awless ssh my-instance --print-cli
Aliasing

When it makes sense we provide the concept of alias. Cloud resources ids can be a bit cryptic. An alias is just an already existing name of a resource. Given a alias we resolve the proper resource id. For instance:

awless ssh my-instance         # ssh to the instance by name. awless resolves its id
awless delete id=@my-instance  # delete an instance using its name
Inspectors

Inspectors are small CLI utilities that leverage awless graph modeling of cloud resources. Basically an inspector is a program that implements the following interface:

type Inspector interface {
    Inspect(*graph.Graph) error
    Print(io.Writer)
    Name() string            # name of the inspector
}

Using awless cloud resources local synchronisation functionality, you can analyse your data offline (i.e: on your local graphs). There are some builtin inspectors that serve as examples: pricer, bucket_sizer, port_scanner, etc...

For example, you would run the bucket_sizer inspector with:

$ awless inspect -i bucket_sizer --local
Bucket           Object count    S3 total storage
--------         ----------      -----------------
my-first-bucket     4            0.0035 Gb
my-other-bucket     1            3.4946 Gb
third-bucket        422          0.0000 Gb
fouth-bucket        1000         0.0077 Gb
                                 3.5059 Gb

Note that - as a upcoming feature - using the local infrastructure snapshots (automatically synced), we will be able to run inspectors through time very fast (i.e: all done locally)! For instance, in this case you would see the evolution of your bucket sizing!

About

awless is an open source project created by Henri Binsztok, Quentin Bourgerie, Simon Caplette and François-Xavier Aguessy at Wallix. awless is released under the Apache License and sponsored by Wallix.

Contributors are welcome! Please head to Contributing (wiki) to learn more.

Documentation

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aws
doc
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driver
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properties
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rdf
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aws

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