Fully automated one click deploy of a microservice using cdk and github actions pipeline. Features many state of the art devops tools to deploy a python flask app with postgresql database into an eks cluster on AWS. Included is a local development environment using docker-compose, cdk setup with VPC, EKS, SSL cert management, Route53, and fully automated pipeline using github actions.
MANUAL STEP: The only bootstrapping that is not automated is the manual change of nameservers from your domain registrar to the cdk created hosted zone in route53. Once you run the pipeline once, change the nameservers in your registrar to the route53 name servers and then wait until the app is running at app.DOMAIN.com, grafana.DOMAIN.com, and prometheus.DOMAIN.com. Once the nameservers are configured, you may need to delete the cluster certificates (1 in default namespace and 2 in monitoring namespace) and then run the pipeline again for the certificates to take effect.
GITHUB ACTIONS: Before you run the github actions pipeline, be sure to enter the variables in the .env.example file into github actions secrets.
- Python Flask weather API with migrations equiped
- PostgreSQL database
- Docker and docker-compose for container management
- AWS CDK (VPC, EKS, Route53)
- NGINX Ingress Controller Network Load Balancer
- Prometheus Monitoring scraping metrics from flask app, postgres, and nginx load balancer
- Grafana dashboard
- Route53 domain configuration for prometheus (prometheus..com, grafana..com, app..com)
- SSL Cert management using cert-manager and letsencrypt for domains above
- Github actions pipeline steps
- Build and test application
- Build docker image and push with cache
- Deploy CDK network and cluster stack changes
- Configuration of EKS Cluster
- Deploy cdk route stack with resources built in EKS cluster
source source .venv/bin/activate
mv .env.example .env
# fill out the .env file
pip install -r requirements.txt
docker-compose up
make run-migraions
make run-dev
source source .venv/bin/activate
mv .env.example .env
# fill out the .env file
pip install -r requirements-cdk.txt
cdk deploy network-stack
cdk deploy cluster-stack
# Must have the nginx load balancer already deployed in the kubernetes cluster and it's dns name available as env NLB_DOMAIN
# To obtain the dns name of the nginx load balancer, run
# kubectl get svc ingress-nginx-controller -n ingress-nginx -o=jsonpath='{.status.loadBalancer.ingress[0].hostname}'
# Also must pass in the domain you want to deploy to hosted zone
export DOMAIN=<DOMAIN>
cdk deploy route-stack --parameters route-stack:nlbDomain=$NLB_DOMAIN --parameters route-stack:appDomain=$DOMAIN
- Manually delete the created nginx network load balancer from aws console.
cdk destroy --all
Once the application is successfully deployed, you can access the grafana dashboard available at grafana.YOUR-DOMAIN. A number of helpful dashboards can be added to visualize the data.
- Postgres dashboard, id:
9628
- Flask dashboard, see
dashboards
folder for json to import to view flask app. - NGINX dashboard, id:
9614
- For local development, after
docker-compose up
has been run, go to localhost:8888 in browser. The connection host to create is host.docker.internal and the secret is in the docker-compose file.
The cdk.json
file tells the CDK Toolkit how to execute your app.
This project is set up like a standard Python project. The initialization process also creates
a virtualenv within this project, stored under the .venv directory. To create the virtualenv
it assumes that there is a python3
executable in your path with access to the venv
package.
If for any reason the automatic creation of the virtualenv fails, you can create the virtualenv
manually once the init process completes.
To manually create a virtualenv on MacOS and Linux:
$ python3 -m venv .venv
After the init process completes and the virtualenv is created, you can use the following step to activate your virtualenv.
$ source .venv/bin/activate
If you are a Windows platform, you would activate the virtualenv like this:
% .venv\Scripts\activate.bat
Once the virtualenv is activated, you can install the required dependencies.
$ pip install -r requirements.txt
At this point you can now synthesize the CloudFormation template for this code.
$ cdk synth
You can now begin exploring the source code, contained in the hello directory. There is also a very trivial test included that can be run like this:
$ make test
To add additional dependencies, for example other CDK libraries, just add to
your requirements.txt file and rerun the pip install -r requirements.txt
command.
cdk ls
list all stacks in the appcdk synth
emits the synthesized CloudFormation templatecdk deploy
deploy this stack to your default AWS account/regioncdk diff
compare deployed stack with current statecdk docs
open CDK documentation
Enjoy!