Apex lets you build, deploy, and manage AWS Lambda functions with ease. With Apex you can use languages that are not natively supported by AWS Lambda through the use of a Node.js shim injected into the build. A variety of workflow related tooling is provided for testing functions, rolling back deploys, viewing metrics, tailing logs, hooking into the build system and more.
This project is designed for event-driven pipelines as it does not abstract away FaaS (functions as a service). If you are building web applications, APIs, or sites, consider using Apex Up, which provides a more out-of-the-box experience for these use-cases.
On macOS, Linux, or OpenBSD run the following:
curl https://raw.githubusercontent.com/glomex/apex/master/install.sh | sh
Note that you may need to run the sudo version below, or alternatively chown /usr/local:
curl https://raw.githubusercontent.com/glomex/apex/master/install.sh | sudo sh
On Windows download binary.
After downloading, rename binary file 'apex.exe', then add to PATH.
If already installed, upgrade with:
apex upgrade
Currently supports:
- Node.js
- Golang
- Python
- Java
- Rust
- Clojure
Example projects for all supported runtimes can be found in _examples directory.
- Supports languages Lambda does not natively support via shim
- Binary install (install apex quickly for continuous deployment in CI etc)
- Hook support for running commands (transpile code, lint, dependency management , etc)
- Batteries included but optional (opt-in to higher level abstractions)
- Environment variable population via command-line, file, or inline config
- Idempotent deployments (checksums skip already-deployed code)
- Multiple environments via
project.ENV.jsonandfunction.ENV.jsonfiles - Configuration inheritance and overrides
- Command-line function invocation with JSON streams
- Command & function name autocompletion
- Function name globbing (ex:
apex deploy api_*) - Transparently generates a zip for your deploy
- Project bootstrapping with optional Terraform support
- Function metrics and cost analysis
- Ignore deploying files with .apexignore
- Function rollback support
- Tail function logs
- Concurrency for quick deploys
- Dry-run to preview changes
- VPC support
- Multiple region support
- Lambda@Edge support
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Apex projects are made up of a project.json configuration file, and zero or more Lambda functions defined in the "functions" directory. Here's an example file structure:
project.json
functions
├── bar
│ ├── function.json
│ └── index.js
└── foo
├── function.json
└── index.js
The project.json file defines project level configuration that applies to all functions, and defines dependencies. For this simple example the following will do:
{
"name": "example",
"description": "Example project"
}Each function uses a function.json configuration file to define function-specific properties such as the runtime, amount of memory allocated, and timeout. This file is completely optional, as you can specify defaults in your project.json file. For example:
{
"name": "bar",
"description": "Node.js example function",
"runtime": "nodejs4.3",
"memory": 128,
"timeout": 5,
"role": "arn:aws:iam::293503197324:role/lambda"
}Now the directory structure for your project would be:
project.json
functions
├── bar
│ └── index.js
└── foo
└── index.js
Finally the source for the functions themselves look like this in Node.js:
console.log('start bar')
exports.handle = function(e, ctx) {
ctx.succeed({ hello: e.name })
}Apex operates at the project level, but many commands allow you to specify specific functions. For example you may deploy the entire project with a single command:
$ apex deploy
Or whitelist functions to deploy:
$ apex deploy foo bar
Invoke it!
$ echo '{ "name": "Tobi" }' | apex invoke bar
{ "hello": "Tobi" }
See the Documentation for more information.
