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CI/CD for Self-Hosted Projects: Automating Your Deployments

Push code, run tests, deploy automatically. Set up continuous integration and deployment for your self-hosted applications.

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What Is CI/CD?


**Continuous Integration (CI)**: Automatically build and test code every time someone pushes changes.


**Continuous Deployment (CD)**: Automatically deploy tested code to production.


Together, they create a pipeline: push code → build → test → deploy.


Why CI/CD Matters for Self-Hosting


Without CI/CD, deploying updates is manual: SSH into the server, pull code, rebuild, restart. With CI/CD, you push to Git and deployment happens automatically.


CI/CD Options for Self-Hosting


GitHub Actions + TinyPod

If your code is on GitHub, GitHub Actions is the easiest CI/CD option. On every push, GitHub runs your build, and TinyPod's GitHub integration auto-deploys the result.


Gitea Actions

If you self-host Gitea, its built-in Actions system is compatible with GitHub Actions workflows. Same YAML syntax, self-hosted.


Drone CI

Lightweight, container-native CI server. Perfect for self-hosted Git servers. Each build step runs in an isolated Docker container.


TinyPod's Built-In CI/CD


TinyPod has native GitHub integration:

1. Connect your GitHub account

2. Select a repository

3. TinyPod detects Dockerfiles automatically

4. Every push to main triggers a new deployment

5. If the build fails, the old version keeps running


No pipeline configuration needed. If you have a Dockerfile, TinyPod builds and deploys it.


Best Practices


Always Test Before Deploying

At minimum, run linting and unit tests. Catch broken code before it reaches production.


Use Rolling Deployments

Deploy the new version alongside the old one, then switch traffic. If something breaks, roll back in seconds.


Keep Builds Fast

Use Docker layer caching, only install changed dependencies, and parallelize test suites. A 2-minute build encourages frequent deploys.


Monitor After Deploy

Automated monitoring catches issues that tests miss. Set up alerts for error rate spikes after each deployment.