This is a sample application built with microservices. It's useful for demonstrations and workshops.
The memebook is a simple guestbook application with one front-end aiohttp web server. When visitors post an entry, the memebook service sends the text to the lolcat service that translates the text into lolcat (e.g. "Can I have a cheeseburger?" becomes "I can haz a cheezburger"). The memebook service also requests a dog photo from the doggo service. The lolcat and doggo services both use the Flask python framework. Finally the memebook service combines the new text and image and saves the combination into Redis.
This repository also contains a traffic_generator deployment to simulate traffic to the application and a Datadog daemonset to monitor the application.
To run the application, first create a Kubernetes secret using your Datadog API Key.
kubectl create secret generic datadog-api --from-literal=token=<YOUR_DATADOG_API_KEY>
Next, apply the yaml files from the kubernetes directory.
kubectl apply -f kubernetes/
Each service has its own directory in this repo. Each service directory contains a Dockerfile and an app directory with the service code.
There are two helper tools in the root of the project: build.sh and build-n-push.sh. The build.sh script will build Docker images for all of the services in the repository (i.e. any top-level directory with a Dockerfile). The build-n-push.sh script runs the build script and additionally pushes the images to the Docker Hub and updates the Kubernetes yaml files with the appropriate image build tag.
Both commands take two arguments: the version and the Docker hub prefix (i.e. your Docker username). For example:
./build-n-push.sh 1.0.3 my_username