KucherenkoSerhiy commented on code in PR #637: URL: https://github.com/apache/incubator-devlake-website/pull/637#discussion_r1329402768
########## docs/_temp/HowToOrganizeDevlakeProjects.md: ########## @@ -0,0 +1,189 @@ +--- +title: "How to Organize DevLake Projects" +sidebar_position: 1 +description: > + How to Organize DevLake Projects +--- + +## 1. Introduction +A typical team of developers works with `pull requests`, `deployments`, and `incidents` inside boards. + +Based on such, we want to measure their productivity and stability. This is how [DORA](docs/DORA.md) does that: +- Productivity: + - How many times does the team `deploy`? (a.k.a. [Deployment Frequency](docs/Metrics/DeploymentFrequency.md)) + - How fast are the `pull requests` resolved? (a.k.a. [Lead Time](docs/Metrics/LeadTimeForChanges.md)) +- Stability: + - How many `incidents` per `deploys` does the team have? (a.k.a. [Change Failure Rate](docs/Metrics/CFR.md)) + - How fast are these `incidents` solved? (a.k.a. [Median Time to Restore](docs/Metrics/MTTR.md)) + +All these questions/metrics are based on either `pull requests`, `deployments`, or `incidents`. +Note: all three are completely separate entities and associated only to their project. + +#### General advice + +There are 3 red lines when it comes to structuring your DevLake `projects`: + +But when we scale this up, a few problems arise: +- A team usually works with multiple `repositories` +- A team also might work on different projects, and we want to measure these projects separately (e.g. it is not the same to work on a big old legacy than on a greenfield) +- There may be multiple teams +- A `board` contains incidents of multiple teams or projects +- A `repository` is managed by multiple teams or projects, e.g. a monorepo +- A `pipeline` can trigger deployments in multiple repositories +- Some organizations want to measure DORA based on projects, and some want to measure it by teams + +This is where the `project` concept comes to play. + +## 2. What is a DevLake project? +In the real world, a project is something being built and/or researched to solve some problem or to open new grounds. +A DevLake project is a grouping of `pull requests`, `deployments`, or `incidents`. It can be seen as a real-world project or product line. DevLake measures DORA metrics for each project. + + + +_Note: It does not matter if a team works on a particular repository more than another. +The metrics are calculated over the entire set of repos, and the values are accumulated. +More on that: [Debugging DORA Issue Metrics](docs/Troubleshooting/Dashboard.md#debugging-dora-issue-metrics)_ + +## 3. As a team lead, how many DevLake projects do I need? + +Because of its simplicity, the concept is flexible: you decide how to arrange `pull requests`, `deployments`, and `incidents` +either by your specific projects, by teams, technology, or any other way. + +The examples below show the patterns of how to organize your projects. +To keep things simple we assume that we work with **GitHub** repos, **Jira** boards, +and **Jenkins CI/CD** deploys in each GitHub repo. + +The same would apply to other repos (e.g. GitLab or BitBucket), boards (e.g. TAPD), +or CI/CD (e.g. GitLab CI, Azure DevOps). + +## 4. Use Cases +This section demonstrates real-life situations and how they get reflected in DevLake. + +Quick note: to keep this guide shorter and more concise, some technical details are only mentioned in the use case 1, +so if you read this page for the first time, make sure to go through them in order. + +Quick note 2: if you use webhooks, check the [quick note](HowToOrganizeDevlakeProjects.md#5-note-about-webhooks) about them below. + +### 4.1. Use Case 1: Projects DevLake and DevStream +DevLake and [DevStream](https://github.com/devstream-io/devstream) are both Apache `projects`. +DevLake manages 3 `repos`: [incubator-devlake](https://github.com/apache/incubator-devlake), +[incubator-devlake-website](https://github.com/apache/incubator-devlake-website), +and [incubator-devlake-helm-chart](https://github.com/apache/incubator-devlake-helm-chart). +DevStream also manages 3 `repos`: [devstream](https://github.com/devstream-io/devstream), +[website](https://github.com/devstream-io/website), and [blog](https://github.com/devstream-io/blog). + + + +Both projects use GitHub for storing code (including `pull requests`), `deployments` on GitHub Actions, and `incidents`. + +_Note: to avoid confusion between DevLake as a `project` in this use case and DevLake as a platform, +we will use complete names i.e. `project DevLake` and `platform DevLake` respectively._ + +#### 4.1.1. Organizing Projects +First, we create 2 `projects` on DevLake platform, representing both project DevLake and DevStream. +These steps will suffice for now: + + + + +Later, we will bind connections that we create in the following steps. We just need to create them first. + +#### 4.1.2. Creating Connections + +Since all is on GitHub in this case, we can use just 1 connection with following properties: +- it includes all the `project's repositories` +- its scope includes everything we work with (i.e. `pull requests`, `deployments`, and `incidents`) + +If you store `incidents` on Jira, for example, you will need to create a separate connection just for them. +Same applies to `deployments`, a separate connection is needed in case they are stored in Jenkins (or any other host for `deployments`). + +#### 4.1.3. Configuring Connections +This part is described in [GitHub](/docs/Configuration/GitHub.md) connection configuration. +For other platforms check the [Configuration Guide](/docs/Configuration) + +### 4.1.4 Using connections + +At this point, we have projects and connections created on platform DevLake. +It is time to bind those connections to the projects. To do so, follow the steps +described in the [Tutorial](/docs/Configuration/Tutorial.md). + +### 4.1.5 Resulting Metrics + +To know if the data of a project is successfully collected go to your DORA Dashboard: Review Comment: Sorry for the grammar clumsiness. I am used to running the Grammarly-ChatGPT-Grammarly pipeline in the end. Also, the files need to be sorted after finishing everything. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. 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