> For the complete documentation index, see [llms.txt](https://docs.agents.opsera.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.agents.opsera.ai/vibe-shift/vibe-shift-dashboard.md).

# Vibe-Shift Dashboard

Your central hub for managing and monitoring deployments

<figure><img src="https://2305304414-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FhPv0XUplPXQW9VXYMzpA%2Fuploads%2FF4upKgI49kIcCIAkPpfP%2Fvibe-shift-dashboard.gif?alt=media&amp;token=3f23a860-8b3d-4933-9bf9-bfe7ae085ae1" alt=""><figcaption></figcaption></figure>

When you open Vibe-Shift from the left sidebar, you land on the main pipeline dashboard. There are two primary views available:

* **Pipeline Dashboard** — live status of all your pipelines across all organisations
* **Insights View** — high-level analytics and trends, accessed via the View Insights button

## The Pipeline Dashboard

{% stepper %}
{% step %}

### **Top Stats — At a Glance**

The four cards at the top of the dashboard give you an instant snapshot of your deployment fleet:

<table><thead><tr><th width="167.65203857421875">Card</th><th>What it shows</th></tr></thead><tbody><tr><td><strong>VS Pipelines</strong></td><td>Total number of VIBEshift pipelines configured </td></tr><tr><td><strong>Deployed</strong></td><td>Pipelines with a live running app </td></tr><tr><td><strong>Healthy</strong></td><td>Pipelines passing health checks </td></tr><tr><td><strong>Active Runs</strong></td><td>Pipelines currently in progress</td></tr></tbody></table>
{% endstep %}

{% step %}

### **The Pipeline List**

Below the stats cards is your full pipeline list. Each row shows:

* **Pipeline name** — with branch (`main`) and GitOps/auto-deploy indicators
* **Owner** — name and email of the pipeline creator
* **Organisation** — which org the pipeline belongs to
* **Repository** — the connected GitHub/GitLab/Bitbucket repo
* **Environment** — `DEV` or `PROD` badge
* **Deployment** — live health status (Healthy / Unknown)
* **Last Run** — status badge (Success / Cancelled / No runs) and time elapsed

> **Note:** A Cancelled status on an older run does not affect the current deployment health. The pipeline still shows Healthy if the most recent successful run deployed correctly.
> {% endstep %}

{% step %}

### **Filtering and Navigation**

Use the controls above the pipeline list to narrow your view:

* **Search** — search pipelines by name
* **All Status** — filter by Success, Failed, Running, or Cancelled
* **All Envs** — filter to show only DEV or PROD pipelines
* **All Organizations** — scope the list to a specific org
* **Refresh** — force-refresh all pipeline statuses
* **+ New Vibe-Shift Pipeline** — create a new pipeline (top right)
  {% endstep %}
  {% endstepper %}

## The Insights Dashboard

Click **View Insights** from the main dashboard to open the analytics view, scoped across all organisations.

{% stepper %}
{% step %}

### **Top Metrics**

Four summary cards give you the organisation-wide health picture:

| Metric           |
| ---------------- |
| **Pipelines**    |
| **Total Runs**   |
| **Success Rate** |
| **Deployed**     |
| {% endstep %}    |

{% step %}

### **Pipelines by Environment**

A donut chart showing how your pipelines are distributed across environments:

* **dev** — 6 pipelines
* **prod** — 1 pipeline

Use this to understand whether your team is primarily working in dev or moving workloads into production.
{% endstep %}

{% step %}

### **Run Activity (Last 30 Days)**

A line graph tracking success vs failed runs
{% endstep %}

{% step %}

### **Organizations Tab**

A per-organisation breakdown of pipeline health. Currently showing 2 organisations:
{% endstep %}

{% step %}

### **Users Tab**

Switch to the **Users** tab to see activity broken down per developer — pipelines owned, total runs, success and failure counts, average run duration, and last run timestamp.
{% endstep %}

{% step %}

### **Activity Tab**

Switch to the **Activity** tab for a run-by-run environment breakdown, showing which environments are being exercised and at what frequency.
{% endstep %}
{% endstepper %}


---

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