This sample demonstrates how to develop and dockerize a microservice in Python using Pip.Services toolkit.
The is simple a microservice that does couple things:
- Keeps list of beacons with their IDs and locations
- Calculates estimated device position based on beacons it can see
To write the code we are going to use Pip.Services cross-language and cross-platform microservices toolkit. If you are interested to learn more about Pip.Services, please, go to http://www.pipservices.org.
The microservice has the following design:
The implementation is divided into 9 steps:
- Step 1: Creating project structure
- Step 2: Defining data objects
- Step 3: Implementing persistence components with tests
- Step 4: Implementing controller compomnent with tests
- Step 5: Implementing HTTP service using command pattern
- Step 6: Wrapping the service into container
- Step 7: Implementing client SDK with tests
- Step 8: Dockerizing the microservice
- Step 9: Deploying to kubernetes (minikube)
Happy microservice development!
Sergey Seroukhov, Founder, Conceptual Vision Consulting LLC