Dev Lake

What is Dev Lake?

Dev Lake is the one-stop solution that integrates, analyzes, and visualizes software development data throughout the software development life cycle (SDLC) for engineering teams.

Why choose Dev Lake?

1. Supports various data sources (Gitlab, Jira) and more are being added all the time
2. Relevant, customizable data metrics ready to view as visual charts
3. Easily build and view new charts and dashboards with Grafana
4. Easy-to-setup via Docker
5. Extensible plugin system to add your own data collectors
6. Designed to process enterprise-scale data

Contents

Section	Description	Documentation Link
Data Sources	Links to specific plugin usage & details	View Section
User Setup	Steps to run the project as a user	View Section
Developer Setup	How to setup dev environment	View Section
Tests	Commands for running tests	View Section
Grafana	How to visualize the data	View Section
Build a Plugin	Details on how to make your own	Link
Add Plugin Metrics	Guide to adding plugin metrics	Link
Contributing	How to contribute to this repo	Link

Data Sources We Currently Support

Below is a list of data source plugins used to collect & enrich data from specific sources. Each have a README.md file with basic setup, troubleshooting and metrics info.

For more information on building a new data source plugin see Build a Plugin.

Section	Section Info	Docs
Jira	Metrics, Generating API Token, Find Project/Board ID	Link
Gitlab	Metrics, Generating API Token	Link
Jenkins	Metrics, Generating API Token	Link

User setup

NOTE: If you only plan to run the product, this is the only section you should need NOTE: Commands written like this are to be run in your terminal

Required Packages to Install

• Docker
• docker-compose

NOTE: After installing docker, you may need to run the docker application and restart your terminal

Commands to run in your terminal

1. Clone repository

   git clone https://github.com/merico-dev/lake.git devlake
   cd devlake
   cp .env.example .env

2. Start Docker on your machine and then you can run docker-compose up config-ui to start up the configuration interface

For more info on how to configure plugins, please refer to the data source plugins, section

3. Visit localhost:4000 to setup configuration files

4. Run docker-compose up -d to start up the other services

5. Visit localhost:4000/triggers to run collection triggers for plugins

Please replace your gitlab projectId and jira boardId in the request body. This can take up to 20 minutes for large projects. (gitlab 10k+ commits or jira 5k+ issues)

6. Click Go to grafana when done (username: admin, password: admin)

Setup cron job

Commonly, we have requirement to synchorize data periodly. We providered a tool called lake-cli to meet that requirement. Check lake-cli usage at here.

Otherwise, if you just want to use the cron job, please check docker-compose version at here

Developer Setup

Requirements

• Docker
• Golang
• Make
  • Mac (Already installed)
  • Windows: Download
  • Ubuntu: sudo apt-get install build-essential

How to setup dev environment

1. Navigate to where you would like to install this project and clone the repository

   git clone https://github.com/merico-dev/lake.git
   cd lake

2. Install go packages

   make install

3. Copy sample config files to new local file

   cp .env.example .env

4. Start the docker containers

   Make sure the docker application is running before this step

   make compose

5. Run the project

   make dev

6. You can now post to /task to create a jira task. This will collect data from Jira

   curl -XPOST 'localhost:8080/task' \
   -H 'Content-Type: application/json' \
   -d '[{
       "plugin": "jira",
       "options": {
           "boardId": 8
       }
   }]'
   

7. Visualize the data in the Grafana Dashboard

   From here you can see existing data visualized from collected & enriched data

   • Navigate to http://localhost:3002 (username: admin, password: admin)
   • You can also create/modify existing/save dashboards to lake
   • For more info on working with Grafana in Dev Lake see Grafana Doc

Tests

To run the tests: make test

Grafana

We use Grafana as a visualization tool to build charts for the data stored in our database. Using SQL queries we can add panels to build, save, and edit customized dashboards.

All the details on provisioning, and customizing a dashboard can be found in the Grafana Doc

Contributing

CONTRIBUTING.md

Need help?

Message us on Discord