dev-health-ops 0.4.0
Open Source Development Team Operation Analytics
License: MIT
Requires Python: >=3.10
Keywords: metrics, git, analytics, developer-experience, grafana

# dev-health-ops

Development team and developers' operational help should be available for all.

This project's goal is to provide tools and quick-win implementations by integrating with a majority of popular tooling.

## Why this exists

Developer health tooling drifted into expensive, opaque “scoring” systems that are easy to misuse. This project is intentionally different.

### Principles

- **Accessibility over extraction**: derived from data teams already own; should be cheap to run and never gated behind per-seat pricing.
- **Learning, not judgment**: metrics are **signals** about system behavior (WIP, churn, cycle time, blocked work), not performance rankings.
- **Trends > absolutes**: compare change over time and distributions, not “who’s best”.
- **Inspectable by default**: open schemas, explicit definitions, and reproducible computation.

### Non-goals

- Individual leaderboards and “scores”
- HR/performance-management tooling
- Executive theater dashboards that hide context

## Installation

If you are not developing on this project and just want to use the tools, you can install the package directly:

```bash
pip install dev-health-ops
```

This provides the `dev-hops` command in your terminal.

```bash
dev-hops --help
```

_Note: In the documentation below, you can replace `dev-hops` with `dev-hops` if you have installed the package._

## Private Repository Support ✅

**Both GitHub and GitLab connectors fully support private repositories!** When provided with tokens that have appropriate permissions, you can access and sync data from private repositories just as easily as public ones.

- **GitHub**: Requires `repo` scope on your personal access token
- **GitLab**: Requires `read_api` and `read_repository` scopes on your private token

See [`PRIVATE_REPO_TESTING.md`](./PRIVATE_REPO_TESTING.md) for detailed instructions on setting up and testing private repository access, or [`VERIFICATION_SUMMARY.md`](./VERIFICATION_SUMMARY.md) for a comprehensive overview.

## Batch Repository Processing ✅

The GitHub connector supports batch processing of repositories with:

- **Pattern matching** - Filter repositories using fnmatch-style patterns (e.g., `chrisgeo/*`, `*/api-*`)
- **Configurable batch size** - Process repositories in batches to manage memory and API usage
- **Rate limiting** - Delay between batches plus shared backoff across workers (avoids stampedes; honors server reset/`Retry-After` when available)
- **Async processing** - Process multiple repositories concurrently for better performance
- **Callbacks** - Get notified as each repository is processed

### Example Usage

```python
from connectors import GitHubConnector

connector = GitHubConnector(token="your_token")

# List repos with pattern matching (integrated into list_repositories)
repos = connector.list_repositories(
    org_name="myorg",
    pattern="myorg/api-*",      # Filter repos matching this pattern
    max_repos=50,
)

# Get all repos matching a pattern with stats
results = connector.get_repos_with_stats(
    org_name="myorg",
    pattern="myorg/api-*",      # Filter repos matching this pattern
    batch_size=10,              # Process 10 repos at a time
    max_concurrent=4,           # Use 4 concurrent workers
    rate_limit_delay=1.0,       # Wait 1 second between batches
    max_commits_per_repo=100,   # Limit commits analyzed per repo
    max_repos=50,               # Maximum repos to process
)

for result in results:
    if result.success:
        print(f"{result.repository.full_name}: {result.stats.total_commits} commits")
```

### Async Processing

For even better performance, use the async version:

```python
import asyncio
from connectors import GitHubConnector

async def main():
    connector = GitHubConnector(token="your_token")

    results = await connector.get_repos_with_stats_async(
        org_name="myorg",
        pattern="myorg/*",
        batch_size=10,
        max_concurrent=4,
    )

    for result in results:
        if result.success:
            print(f"{result.repository.full_name}: {result.stats.total_commits} commits")

asyncio.run(main())
```

### Pattern Matching Examples

| Pattern       | Matches                                      |
| ------------- | -------------------------------------------- |
| `chrisgeo/m*` | `chrisgeo/dev-health-ops`, `chrisgeo/my-app` |
| `*/api-*`     | `anyorg/api-service`, `myuser/api-gateway`   |
| `org/repo`    | Exactly `org/repo`                           |
| `chrisgeo/*`  | All repositories owned by `chrisgeo`         |
| `*sync*`      | Any repository with `sync` in the name       |

## Developer Health Metrics (Work + Git) + Grafana ✅

> **DEPRECATION NOTICE**: The Grafana panels and plugin integration have been moved to a separate repository (`dev-health-panels`) and are being superseded by the full-stack web application [`dev-health-web`](../dev-health-web).

This repo can compute daily “developer health” metrics and provision Grafana dashboards on top of:

- **Git + PR/MR facts** (from GitHub/GitLab/local syncs)
- **Work tracking items** (Jira issues, GitHub issues/Projects, GitLab issues)

Jira is **not** a replacement for pull request data — it’s used to track associated project work (throughput, WIP, work-item cycle/lead times). PR metrics still come from the Git provider data (e.g., GitHub PRs / GitLab MRs) synced by the CLI (`dev-hops sync <target> --provider ...`).

**Docs**

- Metrics definitions + tables: `docs/metrics.md`
- Implementation plans, metrics inventory, requirements/roadmap: `docs/project.md`, `docs/metrics-inventory.md`, `docs/roadmap.md`
- Task tracker configuration (Jira/GitHub/GitLab, status mapping, teams): `docs/task_trackers.md`
- Grafana dashboards + provisioning: `docs/grafana.md`

### Quickstart (ClickHouse + Grafana)

1. Start ClickHouse + Grafana:

```bash
docker compose -f compose.yml up -d
```

1. Sync Git data into ClickHouse (choose one):

```bash
# Local repo (commits + stats)
dev-hops sync git --provider local --db "clickhouse://localhost:8123/default" --repo-path .

# GitHub repo (commits + stats)
dev-hops sync git --provider github --db "clickhouse://localhost:8123/default" --owner <owner> --repo <repo>

# GitLab project (commits + stats)
dev-hops sync git --provider gitlab --db "clickhouse://localhost:8123/default" --project-id <id>
```

1. Compute derived metrics (Git + Work Items):

```bash
# (Optional) Sync work items from provider APIs (recommended)
dev-hops sync work-items --provider all --date 2025-02-01 --backfill 30 --db "clickhouse://localhost:8123/default"

# One day (derived Git metrics; enriches IC metrics from already-synced work items when available)
dev-hops metrics daily --date 2025-02-01 --db "clickhouse://localhost:8123/default"

# Backfill last 30 days ending at date
dev-hops metrics daily --date 2025-02-01 --backfill 30 --db "clickhouse://localhost:8123/default"
```

1. Open Grafana:

- <http://localhost:3000> (default `admin` / `admin`)
- Dashboards are provisioned under the “Developer Health” folder.

### API (FastAPI)

Run the Developer Health Ops API for the web app:

```bash
dev-hops api --db "clickhouse://localhost:8123/default" --reload
```

OpenAPI docs are available at <http://localhost:8000/docs>.

## Container images

This repo ships two reusable images built from `docker/Dockerfile`, which provides a multi-stage build (`base`, `api`, `runner`). The images cover demo runners and REST APIs:

1. `dev-hops-api` runs `dev-hops api` and exposes `port 8000`.
2. `dev-hops-runner` uses `dev-hops` as the entrypoint so you can invoke `sync`, `fixtures`, `metrics`, etc., through a container.

### Building the images

Use `scripts/build-images.sh` to build both images (it sets `SETUPTOOLS_SCM_PRETEND_VERSION` so `setuptools_scm` doesn't require `.git`). The base stage installs the package and then drops the source tree so the runtime image contains only the installed wheel. Override the defaults with:

- Note: the API runtime loads packaged SQL files from `dev_health_ops/api/sql`. If you extend the build, make sure those SQL files are included in the wheel (the Docker build will fail fast if they're missing).

- `IMAGE_REGISTRY` (defaults to `ghcr.io/chrisgeo/dev-health-ops`)
- `VERSION` (tags the images; default `latest`)
- `SETUPTOOLS_SCM_PRETEND_VERSION` (needed when building from a released archive without Git metadata)

```bash
cd /path/to/dev-health-ops
IMAGE_REGISTRY=ghcr.io/myorg/dev-health-ops \
VERSION=$(git describe --tags --abbrev=0 2>/dev/null || echo latest) \
./scripts/build-images.sh
```

Any extra arguments (`--no-cache`, `--pull`, etc.) are forwarded to both `docker build` invocations.

### Running the API container

Expose port `8000` and point the container at your ClickHouse backend:

```bash
docker run --rm -p 8000:8000 \
  -e DATABASE_URI=clickhouse://ch:ch@clickhouse:8123/stats \
  dev-hops-api:latest
```

Add flags after the image name (e.g., `--reload`) to modify the default `api` invocation (`--host 0.0.0.0 --port 8000` is already applied).

### Using the runner container

Mount repositories or fixtures directories and run any `dev-hops` command you need. Share a Docker network with ClickHouse (Compose uses `dev-health-ops_default` by default):

```bash
docker run --rm -it \
  --network dev-health-ops_default \
  -v "$(pwd)":/app \
  -w /app \
  -e DATABASE_URI=clickhouse://ch:ch@clickhouse:8123/stats \
  dev-hops-runner:latest \
  fixtures generate --db clickhouse://ch:ch@clickhouse:8123/stats --days 14
```

Replace the final arguments with any `dev-hops` subcommand you need (`sync`, `metrics daily`, etc.). The entrypoint handles argument parsing so you can run the same image in CI, demos, or release flows.

### Automated builds

`docker-images.yml` runs on GitHub when a `v*` tag is pushed or a release is published. It logs into `ghcr.io`, builds both `runner`/`api` targets from `docker/Dockerfile`, and pushes `:latest` plus the tag pulled from the workflow context (`${{ github.ref_name }}` or the release tag). Make sure `GITHUB_TOKEN` has `packages: write` (default) so the workflow can publish into `ghcr.io/chrisgeo/dev-health-ops`.

### “Download” work tracking data (Jira/GitHub/GitLab)

Work items are fetched from provider APIs via a dedicated sync command. This is separate from PR ingestion:

- Configure credentials + mapping (see `docs/task_trackers.md`)
- Sync work items: `dev-hops sync work-items --provider jira|github|gitlab|all ...` (use `-s` to filter repos; `--auth` for GitHub/GitLab token override)
- `metrics daily` does not need `--provider` unless you want backward-compatible "sync-then-compute" behavior in one step.

`src/dev_health_ops/cli.py` automatically loads a local `.env` file from the repo root (without overriding already-set environment variables). Disable with `DISABLE_DOTENV=1`.

### Sync Teams

You can sync team definitions into the database from multiple sources. This allows dashboards to group data by teams.

```bash
# Sync from a local YAML config (default)
dev-hops sync teams --db "sqlite+aiosqlite:///stats.db" --path config/teams.yaml

# Sync from Jira Projects (uses JIRA_* env vars)
dev-hops sync teams --db "sqlite+aiosqlite:///stats.db" --provider jira

# Generate synthetic teams for testing
dev-hops sync teams --db "sqlite+aiosqlite:///stats.db" --provider synthetic
```

## Database Configuration

This project supports PostgreSQL, MongoDB, SQLite, and ClickHouse as storage backends.

### Environment Variables

- **`DATABASE_URI`** (optional): Default DB URI for `dev-hops metrics daily --db ...` and for Alembic migrations. Also accepts `DATABASE_URL` as an alias.
- **`SECONDARY_DATABASE_URI`** (optional): Secondary database URI for `--sink both` mode (writes to both primary and secondary databases).
- **`DB_ECHO`** (optional): Enable SQL query logging for PostgreSQL and SQLite. Set to `true`, `1`, or `yes` (case-insensitive) to enable. Any other value (including `false`, `0`, `no`, or unset) disables it. Default: `false`. Note: Enabling this in production can expose sensitive data and impact performance.
- **`REPO_UUID`** (optional): UUID for the repository. If not provided, a deterministic UUID will be derived from the git repository's remote URL (or repository path if no remote exists). This ensures the same repository always gets the same UUID across runs.
- **`MAX_WORKERS`** (optional): Number of parallel workers for processing git blame data. Higher values can speed up processing but use more CPU and memory. Default: `4`
- **`LOG_LEVEL`** (optional): Logging level (e.g. `INFO`, `DEBUG`). Default: `INFO`
- **`DISABLE_DOTENV`** (optional): Set to `1` to disable `.env` loading from the repo root.
- **`GITHUB_TOKEN`** (optional): Default GitHub token when `--auth` is not provided.
- **`GITLAB_TOKEN`** (optional): Default GitLab token when `--auth` is not provided.
- **`GITLAB_URL`** (optional): Default GitLab base URL when `--gitlab-url` is not provided (default: `https://gitlab.com`).

### Command-Line Arguments

You can also configure the database using command-line arguments, which will override environment variables:

#### Core Arguments

- **`--db`**: Database connection string (required for `sync`; optional for `metrics daily` if `DATABASE_URI` is set)
- **`--db-type`**: Database backend override (`postgres`, `mongo`, `sqlite`, or `clickhouse`) - optional if URL scheme is clear
- **`--provider`**: Source provider for sync targets (`local`, `github`, `gitlab`, `synthetic`)
- **`--auth`**: Authentication token (GitHub/GitLab)
- **`--repo-path`**: Path to the git repository (for `--provider local`)
- **`--since`**: Lower-bound date/time filter for sync targets. Uses ISO formats (e.g., `2024-01-01` or `2024-01-01T00:00:00`).

#### Connector-Specific Arguments

- **`--owner`**: GitHub repository owner/organization
- **`--repo`**: GitHub repository name
- **`--gitlab-url`**: GitLab instance URL (default: <https://gitlab.com>)
- **`--project-id`**: GitLab project ID (numeric)

#### Batch Processing Options

These unified options work with both GitHub and GitLab connectors:

- **`-s, --search`**: fnmatch-style pattern to filter repositories/projects (e.g., `owner/repo*`, `group/p*`)
- **`--batch-size`**: Number of repositories/projects to process in each batch (default: 10)
- **`--group`**: Organization/group name to fetch repositories/projects from
- **`--max-concurrent`**: Maximum concurrent workers for batch processing (default: 4)
- **`--rate-limit-delay`**: Delay in seconds between batches for rate limiting (default: 1.0)
- **`--max-commits-per-repo`**: Maximum commits to analyze per repository/project
- **`--max-repos`**: Maximum number of repositories/projects to process
- **`--use-async`**: Use async processing for better performance

Example usage:

```bash
# Using PostgreSQL (auto-detected from URL)
dev-hops sync git --provider local --db "postgresql+asyncpg://user:pass@localhost:5432/stats"

# Using MongoDB (auto-detected from URL)
dev-hops sync git --provider local --db "mongodb://localhost:27017"

# Local repo filtered to recent activity
dev-hops sync git --provider local \
  --db "sqlite+aiosqlite:///stats.db" \
  --repo-path /path/to/repo \
  --since 2024-01-01
# Commits and stats are limited to changes on/after this date.

# Using SQLite (file-based, auto-detected)
dev-hops sync git --provider local --db "sqlite+aiosqlite:///stats.db"

# Using SQLite (in-memory)
dev-hops sync git --provider local --db "sqlite+aiosqlite:///:memory:"

# GitHub repository with unified auth
dev-hops sync git --provider github \
  --db "postgresql+asyncpg://user:pass@localhost:5432/stats" \
  --auth "$GITHUB_TOKEN" \
  --owner torvalds \
  --repo linux

# GitLab project with unified auth
dev-hops sync git --provider gitlab \
  --db "mongodb://localhost:27017" \
  --auth "$GITLAB_TOKEN" \
  --project-id 278964

# Batch process repositories matching a pattern (GitHub)
dev-hops sync git --provider github \
  --db "sqlite+aiosqlite:///stats.db" \
  --auth "$GITHUB_TOKEN" \
  -s "chrisgeo/dev-health-*" \
  --group "chrisgeo" \
  --batch-size 5 \
  --max-concurrent 2 \
  --max-repos 10 \
  --use-async

# Batch process projects matching a pattern (GitLab)
dev-hops sync git --provider gitlab \
  --db "sqlite+aiosqlite:///stats.db" \
  --auth "$GITLAB_TOKEN" \
  --gitlab-url "https://gitlab.com" \
  --group "mygroup" \
  -s "mygroup/api-*" \
  --batch-size 5 \
  --max-concurrent 2 \
  --max-repos 10 \
  --use-async
```

### MongoDB Connection String Format

MongoDB connection strings follow the standard MongoDB URI format:

- **Basic**: `mongodb://host:port`
- **With authentication**: `mongodb://username:password@host:port`
- **With database**: `mongodb://username:password@host:port/database_name`
- **With options**: `mongodb://host:port/?authSource=admin&retryWrites=true`

Note: Include the database name in the URI (e.g., `mongodb://host:port/stats`).

### SQLite Connection String Format

SQLite connection strings use the following format:

- **File-based**: `sqlite+aiosqlite:///path/to/database.db` (relative path) or `sqlite+aiosqlite:////absolute/path/to/database.db` (absolute path - note the four slashes)
- **In-memory**: `sqlite+aiosqlite:///:memory:` (data is lost when the process exits)

SQLite is ideal for:

- Local development and testing
- Single-user scenarios
- Small to medium-sized repositories
- Environments where running a database server is not practical

Note: SQLite does not use connection pooling since it is a file-based database.

### Performance Tuning

The script includes several configuration options to optimize performance:

- **`MAX_WORKERS`**: Controls parallel processing of git blame data. Set this based on your CPU cores (e.g., 2-8). Higher values speed up processing but use more CPU and memory.

- **Connection Pooling**: PostgreSQL automatically uses connection pooling with these defaults:
  - Pool size: 20 connections
  - Max overflow: 30 additional connections
  - Connections are recycled every hour

**Example for large repositories:**

```bash
export MAX_WORKERS=8
dev-hops sync git --provider local --db "sqlite+aiosqlite:///stats.db" --repo-path .
```

**Example for resource-constrained environments:**

```bash
export MAX_WORKERS=2
dev-hops sync git --provider local --db "sqlite+aiosqlite:///stats.db" --repo-path .
```

## Performance Optimizations

This project includes several key performance optimizations to speed up git data processing:

### 1. **Increased Batch Size** (10x improvement)

- **Batching**: Uses batched inserts to reduce database round-trips
- **Impact**: Significantly reduces database round-trips, improving insertion speed

### 2. **Parallel Git Blame Processing** (4-8x improvement)

- **Implementation**: Uses asyncio with configurable worker pool
- **Default**: 4 parallel workers processing files concurrently
- **Impact**: Multi-core CPU utilization, dramatically faster blame processing
- **Configuration**: Set `MAX_WORKERS=8` for more powerful machines

### 3. **Database Connection Pooling** (PostgreSQL)

- **Pool size**: 20 connections (up from default 5)
- **Max overflow**: 30 additional connections (up from default 10)
- **Impact**: Better handling of concurrent operations, reduced connection overhead
- **Auto-configured**: No manual setup required

### 4. **Optimized Bulk Operations**

- All database insertions use bulk operations
- MongoDB operations use `ordered=False` for better performance
- SQLAlchemy uses `add_all()` for efficient batch inserts

### 5. **Smart File Filtering**

- Skips binary files (images, videos, archives, etc.)
- Skips files larger than 1MB for content reading
- Reduces unnecessary I/O and processing time

### Expected Performance Improvements

For a typical repository with 1000 files and 10,000 commits:

| Operation    | Before      | After         | Improvement      |
| ------------ | ----------- | ------------- | ---------------- |
| Git Blame    | 50 min      | 6-12 min      | **4-8x faster**  |
| Commits      | -           | 1-2 min       | **New feature**  |
| Commit Stats | -           | 2-4 min       | **New feature**  |
| Files        | -           | 30-60 sec     | **New feature**  |
| **Total**    | **50+ min** | **10-20 min** | **~3-5x faster** |

_Actual performance depends on hardware, repository size, and configuration._

### PostgreSQL vs MongoDB vs SQLite: Setup and Migration Considerations

#### Using PostgreSQL

- Requires running database migrations with Alembic before first use
- Provides strong relational data structure
- Best for complex queries and joins
- Example setup:

  ```bash
  # Start PostgreSQL with Docker Compose
  docker compose up postgres -d

  # Run migrations (Alembic reads DATABASE_URI)
  export DATABASE_URI="postgresql+asyncpg://postgres:postgres@localhost:5333/postgres"
  alembic upgrade head

  # Sync a local repo
  dev-hops sync git --provider local --db "$DATABASE_URI" --repo-path .
  ```

#### Using MongoDB

- No migrations required - collections are created automatically
- Schema-less design allows for flexible data structures
- Best for quick setup and document-based storage
- Example setup:

  ```bash
  # Start MongoDB with Docker Compose
  docker compose up mongo -d

  dev-hops sync git --provider local --db "mongodb://localhost:27017/stats" --repo-path .
  ```

#### Using SQLite

- No migrations required - tables are created automatically using SQLAlchemy
- Simple file-based or in-memory database
- No external database server required
- Best for local development, testing, and single-user scenarios
- Example setup:

  ```bash
  dev-hops sync git --provider local --db "sqlite+aiosqlite:///stats.db" --repo-path .
  ```

  Or for an in-memory database (data lost when process exits):

  ```bash
  dev-hops sync git --provider local --db "sqlite+aiosqlite:///:memory:" --repo-path .
  ```

#### Using ClickHouse

- No migrations required - tables are created automatically using `ReplacingMergeTree`
- Best for analytics and large datasets
- Example setup:

  ```bash
  dev-hops sync git --provider local --db "clickhouse://default:@localhost:8123/default" --repo-path .
  ```

#### Switching Between Databases

- The different backends use different storage mechanisms and are not directly compatible
- Data is not automatically migrated when switching between PostgreSQL, MongoDB, SQLite, and ClickHouse
- If you need to switch backends, you'll need to re-run the analysis to populate the new database
- PostgreSQL and MongoDB can run simultaneously on the same machine using different ports (see `compose.yml`)

### Local Repository Pull Request Handling Warning

**Important:** When processing local repositories, pull request records are inferred from merge commit messages and local refs. These inferences are estimation-based and highly volatile:

- Dates (created_at, merged_at) may be inaccurate due to limited information in local repositories
- PR states (open/closed/merged) are estimated from commit history
- Some PRs may be missed entirely if they don't match expected patterns
- The accuracy depends heavily on repository history and commit message conventions

This behavior is different from GitHub/GitLab connectors, which provide accurate PR data directly from the provider API.

## Example Running Order

1.  Sync teams

dev-hops sync teams --provider config --path config/teams.yaml --db "<DB_CONN>"

# or: dev-hops sync teams --provider jira --db "<DB_CONN>"

2. Sync git facts (example: GitHub)

dev-hops sync git --provider github --owner "<ORG>" --repo "<REPO>" --db "<DB_CONN>"
dev-hops sync prs --provider github --owner "<ORG>" --repo "<REPO>" --db "<DB_CONN>"
dev-hops sync blame --provider github --owner "<ORG>" --repo "<REPO>" --db "<DB_CONN>"
dev-hops sync cicd --provider github --owner "<ORG>" --repo "<REPO>" --db "<DB_CONN>"
dev-hops sync deployments --provider github --owner "<ORG>" --repo "<REPO>" --db "<DB_CONN>"
dev-hops sync incidents --provider github --owner "<ORG>" --repo "<REPO>" --db "<DB_CONN>"

3. Sync work items (and derived work‑item tables)

dev-hops sync work-items --provider github --db "<DB_CONN>" --date YYYY-MM-DD --backfill 30

# use --provider jira|gitlab|all as needed

4. Compute daily metrics (uses stored facts)

dev-hops metrics daily --db "<DB_CONN>" --date YYYY-MM-DD --backfill 30

5. Compute complexity snapshots

dev-hops metrics complexity --repo-path /path/to/repo --db "<DB_CONN>" --date YYYY-MM-DD --backfill 30

## Sample Dashboards

<img width="1807" height="1080" alt="Advanced Work Tracking Phase 2" src="https://github.com/user-attachments/assets/f635d1ec-2c0f-41c6-b57c-e3687f090007" />
<img width="1807" height="1080" alt="CI CD Pipelines Dashboard" src="https://github.com/user-attachments/assets/ba8a03bc-fa4c-4241-9a3b-ab312c9e9f23" />
<img width="1807" height="1080" alt="Code Hotspots Dashboard" src="https://github.com/user-attachments/assets/3ba27599-ec82-424d-a616-330b946ac37b" />
<img width="1080" height="1441" alt="Collaboration Developer Health Dashboard" src="https://github.com/user-attachments/assets/61e09239-07de-4a54-ad47-6ab50641c137" />
<img width="1807" height="1080" alt="Complexity Hotspots Dashboard" src="https://github.com/user-attachments/assets/6958338e-cae7-4f19-8dae-e543f461f811" />
<img width="1807" height="1080" alt="Deployments Dashboard" src="https://github.com/user-attachments/assets/a6cc37c8-ab92-42f4-8d33-2ad85c7a12d6" />
<img width="1807" height="1080" alt="Developer Landscape Dashboard" src="https://github.com/user-attachments/assets/811ee083-80b4-4543-9267-e8afb1efc5e6" />
<img width="1080" height="1137" alt="IC Drilldown Developer Health" src="https://github.com/user-attachments/assets/4223f663-2e10-4119-aa4b-2f187928bebc" />
<img width="1807" height="1080" alt="Incidents Dashboard" src="https://github.com/user-attachments/assets/341ff259-1c97-4c2f-a144-2a26714b7c1c" />
<img width="1807" height="1080" alt="Investment Areas Dashboard" src="https://github.com/user-attachments/assets/87292edd-26f8-4c09-9047-f8a6317a2b90" />
<img width="1807" height="1080" alt="Issue Types - Developer Health" src="https://github.com/user-attachments/assets/c80c4e43-fc02-4ca1-9191-e6fefc268c02" />
<img width="1080" height="1593" alt="Quality   Risk Dashboard" src="https://github.com/user-attachments/assets/5b398dd3-8c42-4f95-b77b-145f4ff71e27" />
<img width="1080" height="1289" alt="Repo Health Dashboard" src="https://github.com/user-attachments/assets/e7e31df3-a073-476c-a76a-9830147bbdbd" />
<img width="1807" height="1080" alt="Well-being Team Level Dashboard" src="https://github.com/user-attachments/assets/830f84e3-b356-4499-be89-7967a1537576" />
<img width="1080" height="1669" alt="Work Tracking Developer Health Dashboard" src="https://github.com/user-attachments/assets/7bb42ae9-bcd3-437b-b60d-6064b9f9ee81" />