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FabricPulse

FabricPulse

Evolve Data

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5 installs
| (0) | Free
Real-time Microsoft Fabric pipeline monitor for VS Code
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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⚡ FabricPulse

Real-time pulse of your Microsoft Fabric pipelines — right inside VS Code.

VS Code Version License Status


What is FabricPulse?

FabricPulse is a VS Code extension for data engineers working with Microsoft Fabric. It brings pipeline monitoring directly into your development environment — no context switching, no slow portal, no waiting for Power BI to load.

You choose which pipelines matter. FabricPulse watches them, stores their history locally, and alerts you when something goes wrong.


Features

Feature Description
📋 Dashboard Overview of all your pipelines with color-coded status, live filtering by workspace and name
⭐ Favorites Pin key pipelines. "Favorites only" view — loaded first on startup
📊 History Duration chart, success rate, run table — stored locally in SQLite
🔔 Alerts Native VS Code notifications on failure or threshold breach. Configurable daily report
⚡ Quick Actions Re-run, Copy Run ID, Open in Fabric, View History — directly from the table
🧠 Pattern Detection Detects if a pipeline frequently fails on the same day or time range
🏢 Multi-tenant Manage multiple Azure tenants / clients from a single panel
📤 Export CSV or JSON export of run history for client reports
📝 Annotations Manual notes on specific dates to correlate performance with deployments
🧮 Semantic Models Monitor Power BI / Fabric Semantic Model refreshes and statuses
🔢 Total Executions Total run count displayed per pipeline to gauge execution frequency
🚀 Smart Loading Priority loading for favorites, configurable batching, instant cache on startup
🚫 Workspace Blacklist Exclude workspaces from polling (by ID or name) to reduce noise

Getting Started

Prerequisites

  • VS Code 1.85+
  • Azure CLI installed and configured (az login)
  • Access to a Microsoft Fabric workspace

Installation

# From the marketplace (when available)
ext install evolve.fabricpulse

# From source
git clone https://github.com/evolve/fabricpulse
cd fabricpulse
npm install
npm run compile

First Run

  1. Open the Command Palette (Ctrl+Shift+P)
  2. Run FabricPulse: Open Dashboard
  3. Add your tenant via FabricPulse: Add Tenant
  4. Mark your critical pipelines as favorites ⭐

Architecture

Layer Stack
Extension Host TypeScript + VS Code Extension API
UI / Webview Vanilla HTML/CSS/JS — native VS Code theming
Auth Azure CLI (az login) + interactive browser fallback
API Microsoft Fabric REST API v1
Storage SQLite (sql.js) via globalStorageUri
Alerting VS Code Notification API + polling every 60s

Commands

Command Description
fabricPulse.openDashboard Open the main dashboard
fabricPulse.addTenant Add an Azure tenant
fabricPulse.exportHistory Export CSV history for the selected pipeline
fabricPulse.clearHistory Clear local history

Configuration

Setting Default Description
fabricPulse.pollingInterval 60 Auto-refresh interval in seconds
fabricPulse.retentionDays 90 Number of days to retain run history
fabricPulse.dailyReportTime "18:00" Time for the daily summary report (HH:MM)
fabricPulse.batchSize 5 Number of pipelines fetched per batch
fabricPulse.batchDelayMs 2500 Delay between batches (ms) to avoid API rate limiting
fabricPulse.batchThreshold 10 Minimum number of stale pipelines to trigger batched loading
fabricPulse.blacklistedWorkspaces [] Workspaces excluded from polling (by ID or name)

Local Data & Privacy

FabricPulse does not collect any data. Everything is stored locally:

  • Run history: SQLite in VS Code's globalStorage directory
  • Favorites and config: VS Code globalState
  • No telemetry, no backend, no external calls beyond the Fabric API

Default retention: 90 days. Configurable in settings.


Roadmap

✅ Foundation

Dashboard, favorites, history, alerts, multi-tenant, CSV/JSON export, pattern detection, annotations.

✅ Semantic Models & Performance

  • Semantic Model support (Power BI / Fabric refreshes)
  • Priority loading for favorites on startup
  • Configurable batching with instant cache
  • Workspace blacklist
  • Total run count per pipeline
  • Timezone fix on run timestamps

✅ Security & Bug Hardening

  • SSRF prevention, UUID validation, webview message validation, XSS hardening
  • Bounded globalState, transaction safety, fetch timeouts, retry caps
  • 15+ bug fixes across all services

🔲 Notebooks & Spark Jobs

  • Fabric Notebooks support (runs, durations, statuses)
  • Spark Jobs support
  • Unified filters across pipelines, notebooks, and semantic models

🔲 Run Analysis

  • Compare two runs of the same pipeline (parameters, durations, logs)
  • Configuration diff between executions

🔲 Sharing & Cross-tenant

  • Static HTML report export (for client sharing)
  • "Pinned Items" cross-tenant panel: monitor favorites from multiple tenants in a single view

Contributing

The project is under active development. Contributions will be welcome once the repo is published.

  • Fork → branch → PR
  • Open an issue to discuss a feature before coding
  • Follow the existing naming conventions

License

MIT © 2025 Evolve — Yohann


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