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Woodpecker is a simple yet powerful CI/CD engine with great extensibility.
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Brad Rydzewski afc71ec5a6
Merge pull request #2297 from jmccann/keepalive_fix 
Add explicit default for DRONE_KEEPALIVE_TIMEOUT
2018-01-14 10:12:06 -08:00
.github Update issue_template.md [ci skip] 2017-09-06 15:21:15 -07:00
cmd Add explicit default for DRONE_KEEPALIVE_TIMEOUT 2018-01-10 13:39:40 -06:00
model enable dot(.) in usernames 2017-10-05 14:02:23 -07:00
plugins Merge pull request #2118 from avatao/senderallowed-post [ci skip] 2017-07-24 23:38:44 -04:00
remote use a backoff when fetching the yaml 2017-12-01 09:22:30 -08:00
router add healthz endpoint to server 2017-10-05 14:17:27 -07:00
server Log the exact error in case of 'error setting commit status' 2017-12-20 12:12:38 +01:00
shared Expose OAuth2 errors, avoid redirect loop. 2016-12-19 08:42:56 +03:00
store add healthz endpoint to server 2017-10-05 14:17:27 -07:00
vendor bump version number 2018-01-10 13:31:07 -08:00
version bump version number 2018-01-10 13:31:07 -08:00
.dockerignore update yaml for s3 upload 2016-05-26 11:08:48 -07:00
.drone.sh Merge pull request #2121 from bradrydzewski/master 2017-07-18 16:12:59 -04:00
.drone.yml bump version number 2018-01-10 13:31:07 -08:00
.gitignore remove generated migration code from gitignore 2017-05-13 10:08:39 +02:00
BUILDING Create BUILDING [CI SKIP] 2017-10-21 10:29:14 -07:00
Dockerfile update base image to drone/ca-certs 2017-09-11 16:03:11 -07:00
Dockerfile.agent add alpine images 2017-09-27 19:01:52 -07:00
Dockerfile.agent.alpine remove deletion since we have --no-cache 2017-09-27 19:04:58 -07:00
Dockerfile.agent.linux.arm add alpine images 2017-09-27 19:01:52 -07:00
Dockerfile.agent.linux.arm64 add alpine images 2017-09-27 19:01:52 -07:00
Dockerfile.alpine remove deletion since we have --no-cache 2017-09-27 19:04:58 -07:00
LICENSE initial public commit 2014-02-07 03:10:01 -07:00
README.md Fix typo 2017-09-29 09:49:56 +08:00

README.md

Drone is a Continuous Delivery system built on container technology. Drone uses a simple YAML configuration file, a superset of docker-compose, to define and execute Pipelines inside Docker containers.


Sample Pipeline Configuration:

pipeline:
  backend:
    image: golang
    commands:
      - go get
      - go build
      - go test

  frontend:
    image: node:6
    commands:
      - npm install
      - npm test

  publish:
    image: plugins/docker
    repo: octocat/hello-world
    tags: [ 1, 1.1, latest ]
    registry: index.docker.io

  notify:
    image: plugins/slack
    channel: developers
    username: drone

Documentation and Other Links: