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apache / incubator-devlake / refs/tags/v0.12.0-preview-20220718-2
commita242c24bfc963572a40852e9fae11024344d3c02[log] [tgz]
authorlinyh <yanghui@meri.co>Mon Jul 18 20:33:40 2022 +0800
committerWarren Chen <yingchu.chen@merico.dev>Mon Jul 18 20:57:05 2022 +0800
treef1f12a77ab3019b236d045245c27a1d1c7e4006e
parent607d965e30ebd6e197ad71e96396b023dbc870e8 [diff]
feat: revert to check multi token in github plugin
1 file changed
tree: f1f12a77ab3019b236d045245c27a1d1c7e4006e
  1. .github/
  2. api/
  3. config/
  4. config-ui/
  5. deployment/
  6. devops/
  7. errors/
  8. generator/
  9. grafana/
  10. helpers/
  11. img/
  12. impl/
  13. logger/
  14. migration/
  15. models/
  16. plugins/
  17. releases/
  18. runner/
  19. scripts/
  20. services/
  21. test/
  22. utils/
  23. version/
  24. worker/
  25. .asf.yaml
  26. .editorconfig
  27. .env.example
  28. .gitignore
  29. .golangci-goheader.template
  30. .golangci.yaml
  31. .rat-excludes
  32. DISCLAIMER-WIP
  33. docker-compose-temporal.yml
  34. docker-compose.yml
  35. Dockerfile
  36. go.mod
  37. go.sum
  38. k8s-deploy.yaml
  39. LICENSE
  40. main.go
  41. Makefile
  42. NOTICE
  43. README.md
README.md

Apache DevLake(Incubating)

PRs Welcome unit-test Go Report Card Slack

πŸ€” 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.

🎯 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. Visualize out-of-the-box engineering metrics in a series of use-case driven dashboards。
  3. Easily extend DevLake to support your data sources, metrics, and dashboards with a flexible framework for data collection and ETL.

πŸ€“ How do I use DevLake?

1. Set up DevLake

You can easily set up Apache DevLake by following our step-by step instruction for local setup or Kubernetes setup.

2. Create a Blueprint

The DevLake Configuration UI will guide you through the process (a Blueprint) to define the data connections, data scope, transformation and sync frequency of the data you wish to collect.

img

3. Track the Blueprint's progress

You can track the progress of the Blueprint you have just set up.

img

4. View the pre-built dashboards

Once the first run of the Blueprint is completed, you can view the corresponding dashboards.

img

5. Customize the dahsboards with SQL

If the pre-built dashboards are limited for your use cases, you can always customize or create your own metrics or dashboards with SQL.

img

πŸ’ͺ 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

πŸš€ Quick Start

⌚ Project Roadmap

  • Roadmap 2022: Detailed project roadmaps for 2022.

😍 How to Contribute

This section lists all the documents to help you contribute to the repo.

πŸ’™ Community

  • Slack: Message us on Slack
  • FAQ: Frequently Asked Questions
  • Wechat Community:

πŸ“„ License

This project is licensed under Apache License 2.0 - see the LICENSE file for details.