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Ozessa

We build and manage reliable data systems inside your Microsoft Fabric workspace. You own everything.

Corporate Entity

Ozessa is a trading name of OZESSA LTD.
Company No. 17120532 (England & Wales)

Registered Office:
167-169 Great Portland Street
5th Floor
London, W1W 5PF

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Insights
Management Standard
Achieving Compute Cost Control in Fabric
Owned by you. Built for truth.

Achieving Compute Cost Control in Fabric

Locking down your Fabric Capacity spend for CFO-level predictability.

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FABRICENGINE
ERP
CRM
API
SQL
IoT
XLS
DeploymentInside your Microsoft tenant
Data Ownership100% yours
Lock-inNone - you keep everything
Built on Microsoft FabricEnterprise-grade architecture
Operational Depth
Executive Summary

Unmanaged bursting leads to capacity "cost" and throttling.

Lack of visibility into which jobs drive costs.

Unsustainable OpEx prevents further AI/Data investment.

Read Time
15 MIN READ
Authority
Management Standard
Tier
Technical Evaluation
KEY FACTS
FACT_01

Fabric overruns are typically caused by un-optimized Spark jobs.

FACT_02

Compute Cost Control saves an average of $15k/yr on Capacity Tiers.

FACT_03

Capacity Smoothing is a risk if peak demand is constant.

Definition

What is Compute Cost Control?

The state of having total control over data compute costs, achieved through technical guardrails and prioritized workload scheduling.
Problem analysis
A. Symptom

Visible Signal

IT budget is consumed by "Burstable Compute" overages.

B. Business Impact

Consequence

Critical pipelines are throttled by Microsoft, causing delays.

C. Hidden Failure

Architecture Flaw

No workload prioritization (Mission-Critical vs Background).

Root cause

Compute costs are often treated as an "IT Utility" rather than a strategic asset. The failure of most Fabric deployments is the lack of a Management Guardrail that prevents peak-demand bursting from triggering bill shock. Ownership requires the technical ability to prioritize workloads based on business ROI.

Our solution

The Reliability Engine Response

Our architecture mandates a reliability-first approach, injecting comprehensive markers and circuit breakers into the core transformation logic.

1

Implementing "Hard Caps" on non-critical workspaces.

2

Scheduling heavy jobs during "Smoothing Recovery" windows.

3

Comprehensive Cost Attribution per department.

Business impact
N/A
Time Recovered
$15,000/yr
Cost Mitigation
Financial Predictability
Risk Exposure
High
Metric Accuracy
Technical Analysis

Ownership is not just about where your data lives; it is about who controls the cost of processing it. In the Microsoft Fabric ecosystem, the Fabric Capacity capacity model offers significant flexibility, but without Active Capacity Smoothing, organizations often find themselves paying for "Idle Bursting" that provides zero business value.

At Ozessa, we implement Compute Guardrails-technical circuit breakers that ensure mission-critical reporting (like financial reconciliation) always has priority over background tasks. This prevents the "Throttling Lock-out" that can occur during month-end closes when compute demand is at its highest.

Our Managed Data Reliability service includes 24/7 capacity monitoring, ensuring that your Fabric estate remains cost-effective as you scale from a single department to an enterprise-wide data hub.

KEY TAKEAWAYS
  • ●Compute is a managed asset, not a utility.
  • ●Predictability is more valuable than raw burst performance.
KEY DATA POINTS
Metric: 35% Spend Optimization
Control: Capacity Gatekeeper
On this page
  • Executive Summary
  • Key Facts
  • Definition
  • Problem analysis
  • Root Cause
  • Our Solution
  • Business Impact
  • Technical Analysis
  • Key Takeaways
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Stop spending weekends reconciling spreadsheets. Let us build a reliable data system you own - inside your own Microsoft workspace.

DeploymentInside your Microsoft tenant
Data ownership100% yours
Lock-inNone - you keep everything
Built on Microsoft Fabric
Enterprise-grade architecture
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