I've been working as a Java developer on a microservices project since December, and I've run into a frustrating workflow issue. Every time I make a change, I have to delete the entire container (and sometimes the image) and then rebuild it just to test the alterations. This process can take about five minutes, which is really hindering my learning and experimentation with the code. I heard my seniors say this is how they always do it, but I'm eager to improve my local development experience. I read something about using Docker watch with Spring in a microservices architecture—does anyone know a better way to avoid having to rebuild the whole setup for every little tweak? Thanks in advance!
3 Answers
What about using a tool like Tilt? It can swap your code inside a running container, meaning you don’t have to go through the hassle of rebuilding the container with every change you make!
You can definitely optimize your workflow! First, look into configuring your Docker builds for caching. This way, it won’t have to rebuild everything from scratch each time you change your code. Check out the Docker documentation for more on caching.
Additionally, consider using a bind mount for your source code. This allows changes to be reflected inside the container immediately without needing to rebuild the image, though you will still need to rebuild if you add new dependencies. If you aren’t using Docker Compose already, it could really streamline the process for your team. Just run 'docker compose up -d --build' to take care of the rebuild automatically while keeping your environment the same!
Honestly, it sounds like your pipeline could use some serious improvement. In a well-designed workflow, local development should give you full access to testing, so you can compile and test your changes without rebuilding every time. Building container images should mainly be reserved for final deployment.
You might want to check if you're utilizing any 'Dev Containers'. With these, you can bind mount your source code. This means you can make changes in real-time without needing to rebuild the container, which should make your life a lot easier!
That sounds interesting! But would it work even if I'm just using raw Docker locally? I've never really dealt with client clusters or production deployments.