Customer
Challenge
The company relied on Microsoft Fabric for large-scale enterprise reporting, analytics, and data orchestration. However, the environment was under increasing pressure due to unmonitored background workloads, inefficient job scheduling, and a lack of visibility into real-time capacity consumption. These issues resulted in service disruptions during business-critical hours, reduced reliability for analytics users, and escalating costs driven by overprovisioning.
The business needed a scalable way to monitor, manage, and predict usage patterns without sacrificing performance or inflating infrastructure spend
Solution
Brimit provided consulting expertise in data infrastructure and AI-driven capacity management, helping the client restore performance stability while reducing costs.
Key actions included:
- Deploying the Microsoft Fabric Capacity Metrics app for real-time, proactive monitoring
- Implementing surge protection logic to detect and prevent overloads from background jobs
- Creating predictive capacity management strategies using usage patterns and automated scaling logic
- Building automated pause/resume scheduling to align compute availability with real usage
- Adding threshold-based alerting to prevent disruptions and guide future capacity scaling decision
Results
- 30% reduction in capacity costs through smarter resource allocation and automated scaling
- Smarter resource planning through AI scheduling with predictive usage patterns to help shape a long-term capacity strategy
- Zero service disruptions during peak business hours by isolating production workloads from development to provide unparalleled performance
- Real-time insight into capacity usage with proactive monitoring and custom alerting