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apache / incubator-devlake / refs/tags/v0.11.0-test9
tag11f3caec98436ab5f8e0267c8bdfb7e9abe55d2d
taggerYingchu Chen <yingchu.chen@merico.dev>Mon May 30 21:12:46 2022 +0800
object8f83a90fb0bd848383a78f6ff9915c955b99f003 
commit8f83a90fb0bd848383a78f6ff9915c955b99f003[log] [tgz]
authorWarren Chen <yingchu.chen@merico.dev>Mon May 30 20:25:35 2022 +0800
committerGitHub <noreply@github.com>Mon May 30 20:25:35 2022 +0800
tree1442cebc6ead8a4f69c15a4079264bc77799dc08
parent96572110129fd4cca7bbe98ac7e62564a6faaf2c [diff]
fix(jenkins): job collector pager (#2035)


1 file changed
tree: 1442cebc6ead8a4f69c15a4079264bc77799dc08
  1. .github/
  2. api/
  3. config/
  4. config-ui/
  5. db/
  6. devops/
  7. e2e/
  8. errors/
  9. grafana/
  10. img/
  11. logger/
  12. migration/
  13. models/
  14. plugins/
  15. releases/
  16. runner/
  17. scripts/
  18. services/
  19. test/
  20. testhelper/
  21. utils/
  22. version/
  23. worker/
  24. .asf.yaml
  25. .editorconfig
  26. .env.example
  27. .gitignore
  28. .golangci-goheader.template
  29. .golangci.yaml
  30. CONTRIBUTING.md
  31. docker-compose-temporal.yml
  32. docker-compose.yml
  33. Dockerfile
  34. go.mod
  35. go.sum
  36. k8s-deploy.yaml
  37. LICENSE
  38. main.go
  39. Makefile
  40. README.md
README.md
Apache DevLake(Incubating)
PRs Welcome badge Go Report Card Slack
What is Apache DevLake?
Apache DevLake is an open-source dev data platform that ingests, analyzes, and visualizes the fragmented data from DevOps tools to distill insights for engineering productivity.
Apache DevLake is designed for developer teams looking to make better sense of their development process and to bring a more data-driven approach to their own practices. You can ask Apache DevLake many questions regarding your development process. Just connect and query.
Demo
See demo. The data in the demo comes from this repo.
What can be accomplished with Apache DevLake?
  1. Collect DevOps data across the entire Software Development Life Cycle (SDLC) and connect the siloed data with a standard data model.
  2. Provide out-of-the-box engineering metrics to be visualized in a sereis of dashboards.
  3. Allow a flexible framework for data collection ad ETL to support customizable data analysis.
Supported Data Sources
Data SourceDomainVersions
FeishuDocumentationCloud
GitHubSource Code Management, Code Review, Issue/Task ManagementCloud
GitlabSource Code Management, Code Review, Issue/Task ManagementCloud, Community Edition 13.x+
JenkinsCI/CD2.263.x+
JiraIssue/Task ManagementCloud, Server 8.x+, Data Center 8.x+
TAPDIssue/Task ManagementCloud
Quick Start
Project Roadmap
  • Roadmap 2022: Detailed project roadmaps for 2022.
  • Supported engineering metrics: provide rich perspectives to observe and analyze SDLC.
How to Contribute
This section lists all the documents to help you contribute to the repo.
Community
  • Slack: Message us on Slack
  • FAQ: Frequently Asked Questions
  • Wechat Community:
     
License
This project is licensed under Apache License 2.0 - see the LICENSE file for details.