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https://github.com/superskyyy/sw-community
Using CHAOSS + Apache Kibble to analyze the Apache SkyWalking ecosystem
https://github.com/superskyyy/sw-community
chaoss community kibble open-source skywalking
Last synced: about 10 hours ago
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Using CHAOSS + Apache Kibble to analyze the Apache SkyWalking ecosystem
- Host: GitHub
- URL: https://github.com/superskyyy/sw-community
- Owner: Superskyyy
- License: apache-2.0
- Created: 2021-08-17T04:34:05.000Z (about 3 years ago)
- Default Branch: master
- Last Pushed: 2021-10-25T04:16:02.000Z (about 3 years ago)
- Last Synced: 2024-10-16T00:41:25.035Z (23 days ago)
- Topics: chaoss, community, kibble, open-source, skywalking
- Homepage:
- Size: 94.7 KB
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# SkyWalking Community Analysis
TODO List:
1. Project config generator
2. More organizations domain
3. Custom dashboard for missing visualizations## Introduction
A collection of useful settings and scripts for SkyWalking stakeholders to setup CHAOSS GrimoireLab in seconds.Collects Git, GitHub data from 30 SkyWalking Ecosystem projects(please open a PR if more projects come in).
Apache Official | SkyAPM | Others
------------ | ------------- | -------------
skywalking | SkyAPM-dotnet | sourceplusplus-SourceMarker
skywalking-rocketbot-ui | SkyAPM-go2sky
skywalking-website | SkyAPM-go2sky-plugins
skywalking-nginx-lua | SkyAPM-php-sdk
skywalking-kong | SkyAPM-cpp2sky
skywalking-python | SkyAPM-java-plugin-extensions
skywalking-nodejs | SkyAPM-uranus
skywalking-client-js | SkyAPM-nodejs
skywalking-rust | SkyAPM-mini-program-monitor
skywalking-satellite
skywalking-cli
skywalking-kubernetes
skywalking-swck
skywalking-docker
skywalking-data-collect-protocol
skywalking-query-protocol
skywalking-goapi
skywalking-agent-test-tool
skywalking-infra-e2e
skywalking-eyes
skywalking-java
skywalking-banyandb
skywalking-showcase## Identified data sources
For the SkyWalking ecosystem, major data sources are
1. **Git** for commit logs - timezone, code, developer
2. **GitHub** for
- GitHub repo metadata - star, fork, watcher
- GitHub PRs - efficiency, timing, backlog
- GitHub Issues - efficiency, backlog, timing
- GitHub comments - collaboration network, count,
- GitHub events - issue labels
3. **mail list** (RSS) - sentiment analysis, count
4. **IRC channels** - Slack + QQ - nlp task, count
5. **Social media** - Twitter - social impact
6. **Q&A platforms** - StackExchange - user generated dataFrom the above data sources, we can conduct quantitative and qualitative analysis.
## CHAOSS Introduction
[CHAOSS Metrics](https://chaoss.community/metrics/)[GrimoireLab](https://chaoss.community/software/#user-content-grimoirelab)
Note the affliation analysis is based on a email domains, which wrongly identifies `qq.com and vip.qq.com` as Tencent employees.
So the provided version removes this chunk from organizations.json in `default-grimoirelab-settings`.
```json
"Tencent": [
{
"domain": "qq.com",
"is_top": true
},
{
"domain": "vip.qq.com",
"is_top": true
}
],
```Example Screenshot from Dashboard -
![localhost_5601_app_kibana (1)](https://user-images.githubusercontent.com/26076517/129667010-3bd334c1-e4aa-40e7-bb83-05ceb34ea59b.png)
![localhost_5601_app_kibana (2)](https://user-images.githubusercontent.com/26076517/129667123-7a1c5545-5be3-4bb7-afdc-d82b3e8e2f84.png)
## Current Usage
### Manual -1. Download the latest release from GrimoireLab repository, unzip/untar.
2. Copy the `projects.json` to the `default-grimoirelab-settings` folder.
3. You may wish to set more than one GitHub access token in `setup.cfg` given hourly GitHub API limits.
4. You will need to increase the `max_map_count` for Elasticsearch before bringing up the ES container, else it will fail.
WSL2 on Windows machine-
```console
wsl ^
sudo sysctl -w vm.max_map_count=262144
```Linux
```console
sudo sysctl -w vm.max_map_count=262144
```MacOS
```console
$ screen ~/Library/Containers/com.docker.docker/Data/vms/0/tty
(then run:) sysctl -w vm.max_map_count=262144
```5. Start the docker containers
```console
docker-compose up -d
```6. After the initialization step, go to `localhost:5601` to view the kibana dashboard of GrimoireLab.
Note the data will not appear in a short time if your access to GitHub is slow/ unstable,
try to use
[FastGitHub](https://github.com/dotnetcore/FastGithub)
to accelerate the process, else it could take you hours before the projects are fully collected.