tag | 84e778e27a0212505eb7a575efd1d088767d8ad9 | |
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tagger | Yingchu Chen <yingchu.chen@merico.dev> | Wed Apr 19 09:53:45 2023 +0800 |
object | 0cfb151a38b04c1471346b1f154c635039972afc |
commit | 0cfb151a38b04c1471346b1f154c635039972afc | [log] [tgz] |
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author | Warren Chen <yingchu.chen@merico.dev> | Wed Apr 19 09:50:34 2023 +0800 |
committer | GitHub <noreply@github.com> | Wed Apr 19 09:50:34 2023 +0800 |
tree | fba6f4a90cf1af5ca736c30f96a1599604cc4a03 | |
parent | d739a734bc28689846fc55c49fec4e17a9afe3c9 [diff] |
rebase hexun patch on release-v0.16 (#4956) * fix: move extract existing graphql data to general position (#4921) Co-authored-by: abeizn <zikuan.an@merico.dev> * fix(release): add skip binlog for mysql (#4798) * fix: the jql time zone issue (#4932) * fix: customize refers to the code of jira (#4936) (#4940) * fix: expand project key to 255 (#4744) * fix: Downgrade Python to 3.9 to support dbt plugin (#4946) * fix: cherry pick #4947 (#4950) * Cherrypick #4912 #4913 to release-v0.16 for hexun (#4919) * cp(tapd): cherrypick #4913 to v0.16 for hexun * feat(tapd): add custom field enricher (#4912) * fix(tapd): fix raw data args * cp(tapd): cherrypick #4913 to v0.16 for hexun (#4920) --------- Co-authored-by: Likyh <yanghui@meri.co> Co-authored-by: abeizn <zikuan.an@merico.dev> Co-authored-by: Liang Zhang <liang.zhang@merico.dev> Co-authored-by: Keon Amini <keon.amini@merico.dev>
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.
Here you can find all data sources supported by DevLake, their scopes, supported versions and more!
You can set up Apache DevLake by following our step-by-step instructions for Install via Docker Compose or Install via Kubernetes. Please see detailed instructions here, and ask the community if you get stuck at any point.
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.
You can track the progress of the Blueprint you have just set up.
Once the first run of the Blueprint is completed, you can view the corresponding dashboards.
If the pre-built dashboards are limited for your use cases, you can always customize or create your own metrics or dashboards with SQL.
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.
This project is licensed under Apache License 2.0 - see the LICENSE file for details.