Awesome
Lambdoku
Heroku-like experience with AWS Lambdas.
Features
Connecting current directory with lambda (like heroku git:remote
)
$ lambdoku init <ARN-of-your-lambda-function>
this allows you to omit the -a
param for all commands below
Simple push of the zip/jar file
$ lambdoku push hello.zip
Simplified environment variables management (heroku config
)
$ lambdoku config:set ONE=1 TWO=2
$ lambdoku config
ONE='1'
TWO='2'
$ lambdoku config:get ONE
ONE='1'
Simplified releases management (heroku releases
)
$ lambdoku releases
22 | Setting env variables AA | 2016-11-26T21:12:46.894+0000
21 | Unsetting env variables XY | 2016-11-26T21:10:04.302+0000
20 | Setting env variables BB,XY | 2016-11-26T20:57:57.340+0000
...
$ lambdoku rollback 18
$ lambdoku releases
23 | Rolling back to version 18 | 2016-11-26T21:35:45.952+0000
22 | Setting env variables AA | 2016-11-26T21:12:46.894+0000
21 | Unsetting env variables XY | 2016-11-26T21:10:04.302+0000
20 | Setting env variables BB,XY | 2016-11-26T20:57:57.340+0000
...
in the example :point_up: both code and configuration is rolled back from version 18.
Pipelines (heroku pipelines
)
(actually the main reason why lambdoku was created)
$ lambdoku init lambdaDev
$ lambdoku pipeline:add lambdaStage
$ lambdoku pipeline:add lambdaProd -a lambdaStage
$ lambdoku pipeline
lambdaStage
$ lambdoku pipeline:promote
now lambdaDev
and lambdaStage
have the same codebase.
lambdaStage
can be promoted to lambdaProd
with command lambdoku downstream:promote -a lambdaStage
.
Logs
To get 100 latest log lines from all lambda invocations:
$ lambdoku logs -n 100
To follow logs produced by all lambda invocations:
$ lambdoku logs -f
Invoking lambda
To invoke lambda to test if it works, you can use:
lambdoku invoke
You can also pass parameters to the function invocation:
lambdoku invoke '{"param1": "value1" ... }'
Installation
-
Prerequisite: AWS Environment variables
- Set required variables:
AWS_ACCESS_KEY_ID
AWS_SECRET_ACCESS_KEY
AWS_DEFAULT_REGION
- ... or use the
~/.aws/config
file to configure aws-sdk by settingAWS_SDK_LOAD_CONFIG
env variable to something truthy
- Set required variables:
-
Prerequisite: Node and npm (ES6 support required)
- On OS X with homebrew:
brew update && brew install node
- On OS X with homebrew:
-
Then, simply:
npm install -g lambdoku
Internals (aka 'how it works?')
- it's simply an abstraction layer over AWS Lambda API effectively invoking
aws-sdk
- each change applied to lambda is finished with lambda version publication
- the
rollback
andpromote
operations retrieve code from AWS and uploads it in place of current one - pipelines use special env variable (please :pray: don't use it :))
DOWNSTREAM_LAMBDAS
to the dowstreams
Known issues
Due to the nature of AWS Lambda API most of the operations can't be considered atomic, like:
- the change in configuration has to first retrieve current configuration - which may be change in the meantime
- the rollback can be infected with change done in configuration in the 'meantime'
- the pipelines promote can be infected by changes done at the same time on downstream