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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Let's make faster Gitlab CI/CD pipelines – From 14 to 3 mins
The dependency proxy in GitLab can help with caching the Docker images.
https://docs.gitlab.com/ee/user/packages/dependency_proxy/
When Docker Hub introduced rate limits last year, one way to mitigate its impact was to make the dependency proxy available for everyone.
https://about.gitlab.com/blog/2020/10/30/mitigating-the-impa...
https://about.gitlab.com/blog/2020/10/30/minor-breaking-chan...
Another way can be maintaining your own group which maintains all base images for your environment, and stores them in the GitLab package registry.
Using your own images can help enforce security policies, to avoid that containers introduce vulnerabilities (e.g. when always pulling :latest tag, or sticking to old tags). Reminds me of Infrastructure as Code security scanning, which can help detect things like this. Played with it when released in GitLab 14.5, examples in https://gitlab.com/gitlab-de/playground/infrastructure-as-co... + https://gitlab.com/gitlab-de/playground/infrastructure-as-co...
Depending on the languages and environments involved, builder images might be needed to reduce complexity with installing build tools. Like, C++ with gcc and controlling the exact version being used (major versions may introduce ABI breaking changes, I've seen it with armhf and gcc6 a while ago). Builder images also reduce the possibly for users to make mistakes in CI/CD before_script/script sections. An optimized pipeline may just include a remote CI/CD template with the magic happening in central maintained projects, using the builder images.
Another thought on builder images - multi arch images with buildx. I've read https://medium.com/@tomwillfixit/migrating-a-dockerized-gitl... yesterday, need to learn more :)
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