carhartl / Zappa

Serverless Python Web Services

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Zappa Rocks!

Zappa - Serverless Python Web Services

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Zappa makes it super easy to deploy all Python WSGI applications on AWS Lambda + API Gateway. Think of it as "serverless" web hosting for your Python web apps.

What do you mean "serverless"?

Okay, so there still is a server - but it only has a 40 millisecond life cycle! Serverless in this case means "without any permanent infrastucture."

With a traditional HTTP server, the server is online 24/7, processing requests one by one as they come in. If the queue of incoming requests grows too large, some requests will time out. With Zappa, each request is given its own virtual HTTP "server" by Amazon API Gateway. AWS handles the horizontal scaling automatically, so no requests ever time out. Each request then calls your application from a memory cache in AWS Lambda and returns the response via Python's WSGI interface. After your app returns, the "server" dies.

Better still, with Zappa you only pay for the milliseconds of server time that you use, so it's many orders of magnitude cheaper than VPS/PaaS hosts like Linode or Heroku - and in most cases, it's completely free. Plus, there's no need to worry about load balancing or keeping servers online ever again.

It's great for deploying serverless microservices with frameworks like Flask and Bottle, and for hosting larger web apps and CMSes with Django. Or, you can use any WSGI-compatible app you like! You probably don't need to change your existing applications to use it, and you're not locked into using it.

And finally, Zappa is super easy to use. You can deploy your application with a single command out of the box.

Using Zappa means:

  • No more tedious web server configuration!
  • No more paying for 24/7 server uptime!
  • No more worrying about load balancing / scalability!
  • No more worrying about keeping servers online!


Zappa Demo Gif

Installation and Configuration

Before you begin, make sure you have a valid AWS account and your AWS credentials file is properly installed.

Zappa can easily be installed through pip, like so:

$ pip install zappa

If you're looking for Django-specific integration, you should probably check out django-zappa instead.

Next, you'll need to define your local and server-side settings.


Next, you'll need to define a few settings for your Zappa deployment environments in a file named zappa_settings.json in your project directory. The simplest example is:

    "dev": { // The name of your environment
       "s3_bucket": "lmbda", // The name of your S3 bucket
       "app_function": "" // The python path to your WSGI application function. In Flask, this is your 'app' object.

You can define as many environments as your like - we recommend having dev, staging, and production.

Now, you're ready to deploy!

Basic Usage

Initial Deployments

Once your settings are configured, you can package and deploy your application to an environment called "production" with a single command:

$ zappa deploy production
Your application is now live at:

And now your app is live! How cool is that?!

To expain what's going on, when you call 'deploy', Zappa will automatically package up your application and local virtual environment into a Lambda-compatible archive, replace any dependencies with versions precompiled for Lambda, set up the function handler and necessary WSGI Middleware, upload the archive to S3, register it as a new Lambda function, create a new API Gateway resource, create WSGI-compatible routes for it, link it to the new Lambda function, and finally delete the archive from your S3 bucket. Handy!


If your application has already been deployed and you only need to upload new Python code, but not touch the underlying routes, you can simply:

$ zappa update production
Your application is now live at:

This creates a new archive, uploads it to S3 and updates the Lambda function to use the new code, but doesn't touch the API Gateway routes.


You can also rollback the deployed code to a previous version by supplying the number of revisions to return to. For instance, to rollback to the version deployed 3 versions ago:

$ zappa rollback production -n 3


Zappa can be used to easily schedule functions to occur on regular intervals. Just list your functions and the expression to schedule them using cron or rate syntax in your zappa_settings.json file:

        "production": {
            "events": [{
                "function": "your_module.your_function", // The function to execute
                "expression": "rate(1 minute)" // When to execute it (in cron or rate format)

And then:

$ zappa schedule production

And now your function will execute every minute!

If you want to cancel these, you can simply use the 'unschedule' command:

$ zappa unschedule production

And now your scheduled event rules are deleted.


If you need to remove the API Gateway and Lambda function that you have previously published, you can simply:

$ zappa undeploy production

You will be asked for confirmation before it executes.

Tailing Logs

You can watch the logs of a deployment by calling the "tail" management command.

$ zappa tail production

Advanced Usage

There are other settings that you can define in your local settings to change Zappa's behavior. Use these at your own risk!

    "dev": {
        "aws_region": "us-east-1", // AWS Region (default US East),
        "debug": true // Print Zappa configuration errors tracebacks in the 500
        "delete_zip": true // Delete the local zip archive after code updates
        "events": [{
            "function": "your_module.your_function", // The function to execute
            "expression": "rate(1 minute)" // When to execute it (in cron or rate format)
        "domain": "", // Required if you're using a domain
        "exclude": ["*.gz", "*.pem"], // A list of regex patterns to exclude from the archive
        "http_methods": ["GET", "POST"], // HTTP Methods to route,
        "integration_response_codes": [200, 301, 404, 500], // Integration response status codes to route
        "keep_warm": true, // Create CloudWatch events to keep the server warm.
        "memory_size": 512, // Lambda function memory in MB
        "method_response_codes": [200, 301, 404, 500], // Method response status codes to route
        "parameter_depth": 10, // Size of URL depth to route. Defaults to 8.
        "prebuild_script": "your_module.your_function", // Function to execute before uploading code
        "profile_name": "your-profile-name", // AWS profile credentials to use. Default 'default'.
        "role_name": "MyLambdaRole", // Lambda execution Role
        "s3_bucket": "dev-bucket", // Zappa zip bucket,
        "settings_file": "~/Projects/MyApp/settings/", // Server side settings file location,
        "touch": false, // GET the production URL upon initial deployment (default True)
        "use_precompiled_packages": false, // If possible, use C-extension packages which have been pre-compiled for AWS Lambda
        "vpc_config": { // Optional VPC configuration for Lambda function
            "SubnetIds": [ "subnet-12345678" ], // Note: not all availability zones support Lambda!
            "SecurityGroupIds": [ "sg-12345678" ]

Keeping The Server Warm

Zappa will automatically set up a regularly occuring execution of your application in order to keep the Lambda function warm. This can be disabled via the 'keep_warm' setting.

Enabling CORS

To enable Cross-Origin Resource Sharing (CORS) for your application, follow the AWS "How to CORS" Guide to enable CORS via the API Gateway Console. Don't forget to re-deploy your API after making the changes!

Deploying to a Domain With a Let's Encrypt Certificate

If you want to use Zappa on a domain with a free Let's Encrypt certificate, you can follow this guide.

Zappa Guides

Zappa in the Press

Sites Using Zappa


Zappa goes quite far beyond what Lambda and API Gateway were ever intended to handle. As a result, there are quite a few hacks in here that allow it to work. Some of those include, but aren't limited to..

  • Using VTL to map body, headers, method, params and query strings into JSON, and then turning that into valid WSGI.
  • Attaching response codes to response bodies, Base64 encoding the whole thing, using that as a regex to route the response code, decoding the body in VTL, and mapping the response body to that.
  • Packing and Base58 encoding multiple cookies into a single cookie because we can only map one kind.
  • Turning cookie-setting 301/302 responses into 200 responses with HTML redirects, because we have no way to set headers on redirects.


This project is still young, so there is still plenty to be done. Contributions are more than welcome! Please file tickets before submitting patches, and submit your patches to the "dev" branch.


Serverless Python Web Services

License:MIT License


Language:Python 99.9%Language:Shell 0.1%