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Gerhard Lazu 59e9fae189
Also release in the Trigger Release workflow
The first implementation of the trigger-release would not push a tag,
meaning that the Release workflow was not getting triggered. While we
could have changed the Release workflow to react on "Trigger Release"
workflow runs, the inter-dependency felt awkward and brittle:

    diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml
    index b711c5cf..843fdb70 100644
    --- a/.github/workflows/release.yml
    +++ b/.github/workflows/release.yml
    @@ -7,10 +7,16 @@ on:
       push:
         tags:
         - v*
    +  workflow_run:
    +    workflows:
    +    - "Trigger Release"
    +    types:
    +    - completed

     jobs:
       goreleaser:
         runs-on: ubuntu-latest
    +    if: ${{ github.event.workflow_run.conclusion == 'success' }}
         defaults:
           run:
             shell: bash

Instead of doing the above, introducing duplication between "Trigger
Release" and "Release" seemed simpler from a cognitive perspective. Now,
releases are produced via the Release workflow when tags are pushed, and
also when releases are triggered via "Trigger Release", now renamed to
"Auto Release".

Signed-off-by: Gerhard Lazu <gerhard@lazu.co.uk>
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Dagger

Dagger is a portable devkit for CICD.

Using Dagger, software teams can develop powerful CICD pipelines with minimal effort, then run them anywhere. Benefits include:

  • Unify dev and CI environments. Write your pipeline once, Dagger will run it the same everywhere.
  • Reduce CI lock-in. No more re-writing everything from scratch every 6 months.

How does it work?

  1. Automate actions with your favorite programming language. No proprietary SDK: just regular shell, Go, Javascript, Python...
  2. Reuse actions from a large and growing catalog.
  3. Tie it all together in CUE - a revolutionary declarative language invented at Google. No more YAML hell!
  4. Test and debug instantly on your local machine. No more waiting 10min to catch a typo.
  5. Run your pipelines on any Docker-compatible runtime, for maximum portability. This means most modern CI runners can run Dagger out of the box.

Getting Started

Documentation website

Description
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Readme 13 MiB
Languages
Go 52%
CUE 29.3%
Shell 9.2%
JavaScript 4.4%
SCSS 2.3%
Other 2.7%