Coworks Logo

Maintenance Build Status Documentation Status Codecov Python Versions Licence


CoWorks is a unified serverless microservices framework based on AWS technologies (API Gateway, AWS Lambda), the Flask framework and the Airflow plateform.

Small technical microservice

Each atomic microservice (defined as class TechMicroService) is a simple python class deployed as a serverless AWS Lambda and can be called synchronously and asynchrously.

Functional business service

Composition of microservices (defined with the @biz decorator) is performed over the tech microservices and constructed by Airflow workflows.

Technical documentation :

Using and derived from Flask (Donate to Pallets). Main other tools used:

  • Click - Command Line Interface Creation Kit.

  • Terraform - Infrastructure Configuration Management Tool.

Other AWS or Terraform technologies are used for logging, administration, …

What does microservice mean in CoWorks?

In short, the microservice architectural style is an approach to developing a single application as a suite of small services, each running in its own process and communicating with lightweight mechanisms.

In Microservice Architecture (Aligning Principles, Practices, and Culture), authors M. Amundsen, I. Nadareishvili, R. Mitra, and M. McLarty add detail to the definition by outlining traits microservice applications share:

  • Small in size

  • Messaging enabled

  • Bounded by contexts

  • Autonomously developed

  • Independently deployable

  • Decentralized

  • Built and released with automated processes

In CoWorks, microservices are serverless functions over APIs.

Small in size

Simply implemented as a Flask python class.

Messaging enabled

API Gateway request-response managed services.

Service oriented

Technological service by Flask entry, biz service by Airflow workflow.

Independently deployable

Serverless component accessed thru API.


Serverless components managed by workflows.

Smart endpoints

Deriving directly from class methods.

What are CoWorks main benefits?

Two levels of microservice

CoWorks microservices are divided in two categories :

Small technical microservice

Implemented as a simple AWS Lambda function, this kind of microservice is dedicated to technical operations over a specific service. Technical miscroservice should be stateless.

Functional business service

Implemented by Airflow workflow, this kind of microservice allows non programmer to construct functional business workflows.

Distinction between technical microservice and business service is based not only on granularity size but also:

  • A TechMicroservice should mainly be used as receivers of orders coming from @biz.

  • A @biz represents a logical workflow of actions while a TechMicroservice represents a simple concrete action.

  • A TechMicroservice is an independant microservice while a @biz is connected to event handlers (cron, notification, event, …).

  • A TechMicroservice is more a handler pattern and @biz a reactor pattern.

Code oriented tools

Like any model of software architecture, it is very usefull to have complementary tools for programming, testing, documenting or deploying over it.

The main advantage of using CoWorks is its ability to defined those tools, called commands, directly in the microservice code. Predefined commands like run (defined by the Flask framework) or deploy are provided, but you can redefined them or creates new ones like for documentation or testing.

For more details, see: Commands.

Microservice architecture structuration

The CoWorks microservice architecture provides some best pratices for code organization and directory structure. Indeed it’s so easy to start in serverless project, it’s also easy to start moving the wrong direction.

API and Lambda organization

With AWS API a single Lambda function handles a single HTTP verb/path combinaison. For Rest API it is better to have a single lambda function to handle all HTTP verbs for a particular resource.

CoWorks regroups all microservice entrypoints into one single class. And a class is the resource granularity for the API.

For example, following the CRUD design :


The significant benefit of this architecture is that the number of Lambda functions is drastically reduced over a one to one CRUD event mapping.


CoWorks differenciates two kind of configurations:

  • Automation and command configuraton

  • Execution configuration

For those who are familiar with the Twelve-Factor App methodology, the CoWorks configuration model correspond exactly with the strict separation of config from code.

More precisely:

  • The project configuration file : Use a declarative format for setup automation, to minimize time and cost for new developers joining the project

  • The dotenv file : Env vars are easy to change between deploys without changing any code


Taking part in the project

If you want to contribute to this project in any kind, your help will be very welcome. Don’t hesitate to contact any project’s member.

Indices and tables