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apache / incubator-devlake / refs/tags/v0.12.0-rc5
commit4389c64fdbbb86b4c2a0a6645977312ed7d8adbc[log] [tgz]
authormindlesscloud <liang.zhang@merico.dev>Mon Aug 01 21:45:03 2022 +0800
committerGitHub <noreply@github.com>Mon Aug 01 21:45:03 2022 +0800
tree0887d9df0a519da03c8bc82e6aba2b1d4aa50ca8
parent8b0541777b091655baba1a9039bf712fcb0ce864 [diff]
fix: add NoPKModel to commit_parents (#2654)
4 files changed
tree: 0887d9df0a519da03c8bc82e6aba2b1d4aa50ca8
  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. .licenserc.yaml
  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

🤔 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 (Extract, Transform, Load).

💪 Supported Data Sources

Data SourceDomainSupported Versions
GitHubSource Code Management, Code Review, Issue ManagementCloud
GitlabSource Code Management, Code Review, Issue ManagementCloud, Community Edition 13.x+
JiraIssue ManagementCloud, Server 8.x+, Data Center 8.x+
JenkinsCI/CD2.263.x+
FeishuDocumentationCloud
TAPDIssue ManagementCloud

🚀 Getting Started

🤓 How do I use DevLake?

1. Set up DevLake

You can set up Apache DevLake by following our step-by-step instructions for Install via Docker Compose or Install via Kubernetes. Please ask community if you get stuck at any point.

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 dashboards 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

😍 How to Contribute

Please read the contribution guidelines before you make contributon. The following docs list the resources you might need to know after you decided to make contribution.

⌚ Project Roadmap

  • Roadmap 2022: Detailed project roadmaps for 2022.

💙 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.