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In my previous post titled From Makefile to Go semantic versioning service on Kubernetes I talked about creating a simple Go service that runs on Kubernetes and returns you the next semantic version. For example: you send something like this minor/0.1.0 to the service, and the service responds with 0.1.1 .
In the conclusion of that article I mentioned that most of my time was spent figuring out Kubernetes deployment files (Helm), Makefile and I wasn’t actually spending a lot of time on my code.
Since I have done some React development I remembered a tool called create-react-app — this tool helps you create a basic React app that you can build and run in the browser within seconds. I thought it would be useful if there was something similar for apps/services one would like to quickly get up and running in Kubernetes.
That’s how the kapp tool was born — a tool that helps you create Go services and have them running in Kubernetes in no time!
You can download the first release of the app from here. Full source code is available on the GitHub repo.
Quick overview of kapp
With kapp installed, you can create your first Go service like this:
cd $GOPATH/src/github.com/peterjkapp create helloworld --package github.com/peterj/helloworld
This creates a folder called helloworld under the current folder with the following files:
helloworld├── .gitignore├── Dockerfile├── Makefile├── VERSION.txt├── docker.mk├── helm│ └── helloworld│ ├── Chart.yaml│ ├── templates│ │ ├── _helpers.tpl│ │ ├── deployment.yaml│ │ └── service.yaml│ └── values.yaml├── main.go└── version └── version.go
You get a Dockerfile for your service, Helm chart to install it to Kubernetes and bunch of useful Makefile targets in the Makefile and docker.mk files.
Check out the gif below that shows you how to create a new app, initialize it, build it and run it locally.
Create a new app and building it locally
Deploying to Kubernetes
Now that you have your app created, it’s time to deploy and run it in Kubernetes. There are a couple of steps involved to get from an app running locally (as a binary), to an app running in a container on Kubernetes:
- Create a Dockerfile
- Build and tag the Docker image
- Push the image to the registry
- Create Kubernetes deployment file
- Create Kubernetes service file
- Deploy the Kubernetes deployment and service
When you ran kapp you already got a Dockerfile and Helm chart (Kubernetes deployment, service file) for your app. Together with the Makefile, you also get tasks that perform the steps above for you.
Let’s start with setting the Docker registry first:
$ docker login # you can skip this if you're already logged in$ export DOCKER_REGISTRY=[registry_username]
With Docker registry set, we can build the image:
$ make build.image
Then we can push it to the registry:
$ make push.image
Finally, we can deploy our app to Kubernetes:
$ make install.app
That’s it! Your app is now deployed and running in Kubernetes. At this point you can either create a proxy to the cluster (e.g. kubectl proxy) or get a terminal running inside the cluster to access your service.
Iterate quickly
With the initial deployment of your service completed, you are all set for quickly iterating on the app.
You can make changes to your code, optionally bump the app version (make bump-version) and run:
make upgrade
To upgrade the existing application that’s already running in Kubernetes.
Conclusion
This was a fun side-project to work on and I can see using it to bootstrap any new (Go) service development. Source code for the project is available on GitHub. All PRs and issues are more than welcome!
Thanks for Reading!
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*maybe more, maybe less, but it’s popular to have some number (preferably smaller) in a title. I remember tech/programming books with titles such as “Learn X in 10 days”. After a while, those days in the title changed to hours and now we are talking in minutes… Second, micro-,nano-seconds next?
1 min* to run a service in Kubernetes — kapp tool was originally published in Hacker Noon on Medium, where people are continuing the conversation by highlighting and responding to this story.
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