pipeline

From my side I'd love to see clear comparison to distroless[1] images, the best info I could find was this Github issue comment[2], although I would expect to find it in https://github.com/wolfi-dev#faq. Or maybe my google-fu failed me :( [1]: https://github.com/GoogleContainerTools/distroless [2]: https://github.com/tektoncd/pipeline/issues/5507#issuecommen...

We use Jenkins to invoke Tekton pipelines (https://github.com/tektoncd/pipeline) with a wrapper we wrote. The pipeline runs, outputs junit to a bucket and we pull it back and give it to jenkins. Was a bit of a lift to get working out of the gate but it's been mostly smooth (and flexible and cheap) since then.

For CI (testing) we use tekton [1] to run tests and pass around artifacts inside k8s. You can kick off and monitor tekton builds with their CLI tool, but we ended up building our own create/monitor/download-artifacts tool for it in ruby. We use an off the shelf CI server to kick that tool off, and it dumps back results the CI server can understand. One of the things we need to do is elastically scale the number of tasks (basically pods in tekton) that comprise our test suite run. This might be based on cluster utilization or whether it's the master branch. Since we have a single threaded test suite, we hoist parallelism up to the k8s level by breaking apart the tests into partitions each run by its own pod. For this we just render processed and parameterized erb to yaml. Eventually we'll dispense with yaml altogether and programmaticall

Would it be interesting to list Infrastructure-as-Code tools and cloud pipeline tools in parallel ? At some point, build tools and infrastructure tools may converge : Kubeflow Pipeline (for ML) - https://www.kubeflow.org/docs/pipelines/pipelines-overview/ Tekton Pipeline - https://github.com/tektoncd/pipeline TF Extended - https://www.tensorflow.org/tfx

GitHub repo - https://github.com/tektoncd Documentation - https://github.com/tektoncd/pipeline#-tekton-pipelines