Capacity Monitoring

Optimize Microsoft Fabric Capacity Monitoring with Datalogz

Adopting Microsoft Fabric? Managing BI capacity just got more complex. Fabric unifies data and analytics tools, creating new opportunities—and challenges—for BI admins seeking deeper insights into compute usage across Power BI, Synapse, Azure Data Factory, and more.

What's Changing?

Datalogz seamlessly integrates with Power BI, Tableau, Qlik Sense, and Spotfire, leveraging activity logs and API endpoints to track data access and usage. Our Control Tower provides a complete historical record, eliminating manual log failures and ensuring continuous visibility into user actions. Instantly assess dashboard access, identify governance gaps, and maintain BI compliance with confidence.

Here’s what’s changing

Unified Capacity Management: Fabric consolidates all data and analytics tools under one platform, centralizing tenant and capacity administration.
New Pricing Model: Power BI capacity now follows Fabric’s F-SKU model (measured in Capacity Units (CUs)) instead of the old P-SKU model (v-cores).
Monitoring Changes: The Fabric Capacity Metrics App replaces the Power BI Premium Capacity Metrics App, tracking capacity usage across all Fabric services.
Key Metrics: Tracks interactive (user-driven) and background (scheduled) operations to identify compute-heavy tasks.
Performance Management: Introduces throttling, smoothing, and bursting to manage spikes in compute demand and prevent performance degradation.
  1. Unified Capacity Management: Fabric consolidates all data and analytics tools under one platform, centralizing tenant and capacity administration.
  2. New Pricing Model: IPower BI capacity now follows Fabric’s F-SKU model (measured in Capacity Units (CUs)) instead of the old P-SKU model (v-cores).
  3. Monitoring Changes: The Fabric Capacity Metrics App replaces the Power BI Premium Capacity Metrics App, tracking capacity usage across all Fabric services.
  4. Key Metrics: Tracks interactive (user-driven) and background (scheduled) operations to identify compute-heavy tasks.
  5. Performance Management: Introduces throttling, smoothing, and bursting to manage spikes in compute demand and prevent performance degradation.
  6. Challenge: The Fabric Capacity Metrics App lacks historical data, cross-capacity comparisons, and granular event tracking, making root cause analysis harder.
  7. Why It’s Important:  Helps BI admins prevent overages, optimize costs, balance workloads, and ensure seamless Power BI performance across an enterprise.
  1. Comprehensive Insights: Provides historical data retention and advanced analytics for deeper trend analysis.
  2. Macro & Micro Views: Offers a dashboard with all premium capacities, allowing side-by-side comparisons and drilldowns into specific issues.
  3. Noisy Neighbor Detection: Identifies unnecessary compute usage from reports that consume excess resources.
  4. Event-Based Monitoring: Tracks capacity usage at specific timestamps to pinpoint the root cause of spikes.
  5. Advanced Cost Analysis: Breaks down costs by day, capacity, and workspace for better budgeting.
  6. Smart Alerts & Recommendations: Sends real-time notifications and actionable insights to prevent performance issues.

Challenges

The Fabric Capacity Metrics App lacks historical data, cross-capacity comparisons, and granular event tracking, making root cause analysis harder.

  1. Unified Capacity Management: Fabric consolidates all data and analytics tools under one platform, centralizing tenant and capacity administration.
  2. New Pricing Model: IPower BI capacity now follows Fabric’s F-SKU model (measured in Capacity Units (CUs)) instead of the old P-SKU model (v-cores).
  3. Monitoring Changes: The Fabric Capacity Metrics App replaces the Power BI Premium Capacity Metrics App, tracking capacity usage across all Fabric services.
  4. Key Metrics: Tracks interactive (user-driven) and background (scheduled) operations to identify compute-heavy tasks.
  5. Performance Management: Introduces throttling, smoothing, and bursting to manage spikes in compute demand and prevent performance degradation.
  6. Challenge: The Fabric Capacity Metrics App lacks historical data, cross-capacity comparisons, and granular event tracking, making root cause analysis harder.
  7. Why It’s Important:  Helps BI admins prevent overages, optimize costs, balance workloads, and ensure seamless Power BI performance across an enterprise.
  1. Comprehensive Insights: Provides historical data retention and advanced analytics for deeper trend analysis.
  2. Macro & Micro Views: Offers a dashboard with all premium capacities, allowing side-by-side comparisons and drilldowns into specific issues.
  3. Noisy Neighbor Detection: Identifies unnecessary compute usage from reports that consume excess resources.
  4. Event-Based Monitoring: Tracks capacity usage at specific timestamps to pinpoint the root cause of spikes.
  5. Advanced Cost Analysis: Breaks down costs by day, capacity, and workspace for better budgeting.
  6. Smart Alerts & Recommendations: Sends real-time notifications and actionable insights to prevent performance issues.

Why It’s Important

Helps BI admins prevent overages, optimize costs, balance workloads, and ensure seamless Power BI performance across an enterprise.

  1. Unified Capacity Management: Fabric consolidates all data and analytics tools under one platform, centralizing tenant and capacity administration.
  2. New Pricing Model: IPower BI capacity now follows Fabric’s F-SKU model (measured in Capacity Units (CUs)) instead of the old P-SKU model (v-cores).
  3. Monitoring Changes: The Fabric Capacity Metrics App replaces the Power BI Premium Capacity Metrics App, tracking capacity usage across all Fabric services.
  4. Key Metrics: Tracks interactive (user-driven) and background (scheduled) operations to identify compute-heavy tasks.
  5. Performance Management: Introduces throttling, smoothing, and bursting to manage spikes in compute demand and prevent performance degradation.
  6. Challenge: The Fabric Capacity Metrics App lacks historical data, cross-capacity comparisons, and granular event tracking, making root cause analysis harder.
  7. Why It’s Important:  Helps BI admins prevent overages, optimize costs, balance workloads, and ensure seamless Power BI performance across an enterprise.
  1. Comprehensive Insights: Provides historical data retention and advanced analytics for deeper trend analysis.
  2. Macro & Micro Views: Offers a dashboard with all premium capacities, allowing side-by-side comparisons and drilldowns into specific issues.
  3. Noisy Neighbor Detection: Identifies unnecessary compute usage from reports that consume excess resources.
  4. Event-Based Monitoring: Tracks capacity usage at specific timestamps to pinpoint the root cause of spikes.
  5. Advanced Cost Analysis: Breaks down costs by day, capacity, and workspace for better budgeting.
  6. Smart Alerts & Recommendations: Sends real-time notifications and actionable insights to prevent performance issues.

How Datalogz Helps with Capacity Monitoring

Comprehensive Insight
Macro & Micro Views
Noisy Neighbor Detection
Event-Based Monitoring
Advanced Cost Analysis
Smart Alerts & Recommendations

Provides historical data retention and advanced analytics for deeper trend analysis.

Offers a dashboard with all premium capacities, allowing side-by-side comparisons and drilldowns into specific issues.

Identifies unnecessary compute usage from reports that consume excess resources

Tracks capacity usage at specific timestamps to pinpoint the root cause of spikes.

Breaks down costs by day, capacity, and workspace for better budgeting.

Sends real-time notifications and actionable insights to prevent performance issues.

Concerned about Capacity Monitoring in Fabric? Read our White Paper here

White Paper