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apache/devlake/refs/tags/v0.17.0-beta5
commit
b54fa2aa831c83a500d100948cec67e4734c7bf4
[log]
author
Klesh Wong <zhenmian.huang@merico.dev>
Mon May 15 16:09:13 2023 +0800
committer
GitHub <noreply@github.com>
Mon May 15 16:09:13 2023 +0800
tree
20ad1a8d1bb214754e95e008c59e3438f7103018
parent
1f994a52eb2094481aed17eff7a19905f1d025a8 [diff]
cherry #5180 env left empty when regex is omitted to v0.17 (#5183)

* fix: bitbucket pipeline/step should be marked as PRODUCTION when corresponding regex is omitted

* fix: github runs/jobs should be marked as PRODUCTION when corresponding regex is omitted

* fix: bamboo builds should be marked as PRODUCTION when corresponding regex is omitted

* fix: gitlab pipelines/jobs should be marked as PRODUCTION when corresponding regex is omitted

* fix: jenkins builds/stages should be marked as PRODUCTION when corresponding regex is omitted
27 files changed
tree: 20ad1a8d1bb214754e95e008c59e3438f7103018
  1. .github/
  2. backend/
  3. config-ui/
  4. devops/
  5. grafana/
  6. resources/
  7. .asf.yaml
  8. .dockerignore
  9. .editorconfig
  10. .gitignore
  11. .licenserc.yaml
  12. DISCLAIMER-WIP
  13. docker-compose.datasources.yml
  14. docker-compose.yml
  15. env.example
  16. LICENSE
  17. Makefile
  18. NOTICE
  19. README.md
README.md

Apache DevLake(Incubating)

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🤔 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 extract insights for engineering excellence, developer experience, and community growth.

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. Your Dev Data lives in many silos and tools. DevLake brings them all together to give you a complete view of your Software Development Life Cycle (SDLC).
  2. From DORA to scrum retros, DevLake implements metrics effortlessly with prebuilt dashboards supporting common frameworks and goals.
  3. DevLake fits teams of all shapes and sizes, and can be readily extended to support new data sources, metrics, and dashboards, with a flexible framework for data collection and transformation.

👉 Live Demo

DORA Dashboard

All Dashboards

💪 Supported Data Sources

Here you can find all data sources supported by DevLake, their scopes, supported versions and more!

🚀 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 Helm. Please see detailed instructions here, and ask the 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.

3. Track the Blueprint's progress

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

4. View the pre-built dashboards

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

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.

😍 How to Contribute

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

📄 Contributing to Documentation:

⌚ Roadmap

  • Roadmap: Detailed roadmaps for DevLake.

💙 Community

  • Slack: Message us on Slack
  • Wechat Community:

📄 License

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