Caching and artifacts play a crucial role in optimizing Grafana dashboards during GitLab CI pipelines. By implementing caching strategies and utilizing artifacts, teams can significantly reduce build times and enhance the performance of their dashboards. This approach leads to quicker iterations and a more efficient development workflow.
For instance, caching can store dependencies and results of previous jobs, which means that repetitive tasks do not need to be executed every time the pipeline runs. Artifacts serve as a means to pass files generated in one job to subsequent jobs, thereby making the required data accessible without the need for re-calculation.
Below is an example of a simple GitLab CI configuration file that demonstrates how caching and artifacts can be incorporated to speed up the deployment of Grafana dashboards:
stages:
- build
- deploy
cache:
key: ${CI_COMMIT_REF_SLUG}
paths:
- node_modules/
- public/assets/
build_job:
stage: build
script:
- npm install
- npm run build
artifacts:
paths:
- public/assets/
deploy_job:
stage: deploy
dependencies:
- build_job
script:
- echo "Deploying Grafana dashboard..."
- cp -r public/assets/ /path/to/deploy
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