A sample template for bootstraping Rustlang AWS Lambda HTTP applications with ⚡ serverless framework ⚡.
- 🦀 Build Rustlang applications with ease
- 🛵 Continuous integration testing with travis CI
- 🚀 Continuous deployment with travis CI
- 🧪 Tests
- 👩🏭 Simplified make based workflow
Install the serverless framework cli.
Then then run the following in your terminal
$ npx serverless install \
--url https://github.com/softprops/serverless-aws-rust-http \
--name my-new-api
This will download the source of a sample Rustlang application and unpack it as a new service named "my-new-api" in a directory called "my-new-api"
Assumming you have aws credentials with appropriate deployment permissions configured in a profile named "prod", you could impress your friends by creating a project that is born in production.
$ npx serverless install \
--url https://github.com/softprops/serverless-aws-rust-http \
--name my-new-api \
&& cd my-new-api \
&& AWS_PROFILE=prod make dependencies deploy
make dependencies
will make sure npm dependencies are installed, this only needs run once.
The first time you run make deploy
it will pull down and compile the base set
of dependencies and your application. Unless the dependencies change afterwards,
this should only happen once, resulting in an out of the box rapid deployment
cycle.
This template includes an example travis configuration file which can unlock a virtuous cycle of continuous integration and deployment ( i.e all tests are run on prs and every push to master results in a deployment ).
To set up travis you will need to do a view things.
Firstly, version control your source. Github is free for opensource.
$ git init
$ git remote add origin git@github.com:{username}/{my-new-service}.git
Using the travis cli, bootstrap your git repos' travis integration.
$ travis enable
# set up AWS credentials for serverless deployment
# https://serverless.com/framework/docs/providers/aws/guide/credentials/
$ travis env set AWS_ACCESS_KEY_ID 'xxx'
$ travis env set AWS_SECRET_ACCESS_KEY 'xxx'
⭐ You can optionally generate code coverage reports with coveralls by enabling your repo here. You may need to sync repos first. You can then view your coverage reports at https://coveralls.io/github/{username}/{my-new-service}
Add your changes to git and push them to github.
Finally, https://travis-ci.org/{username}/{my-new-service} in your browser and grab a bucket of popcorn 🍿
With your function deployed in production you can now start triggering it using serverless
framework directly or
the AWS integration you've configured to trigger it on your behalf
$ AWS_PROFILE=prod npx serverless invoke --stage prod -f hello -d '{"foo":"bar"}'
Experimentation will likely facilitate retiring ideas. Retiring applications should be as easy as creating and deploying them them. This project provides
a dual to make deploy
for doing so: make destroy
$ AWS_PROFILE=prod make destroy
-
See the serverless-rust plugin's documentation for more information on plugin usage.
-
See the aws rust runtime's documentation for more information on writing Rustlang lambda functions
This template's intent is to set a minimal baseline for getting engineers up an running with a set of repeatable best practices. See something you'd like in this template that would help others? Feel free to open a new github issue. Pull requests are also welcome.