Success StoriesApplication Performance Management for Nation’s Largest Public Power Supplier
Delivers energy to 10M people across seven southeastern states
Business Need
Objectives Driving Transformation
The nation’s largest public power supplier required modernization of its Application Performance Management (APM) capabilities to support a complex and highly regulated IT environment. Leadership sought a cloud-enabled APM solution leveraging AI and machine learning to monitor security, application health, and business performance across the enterprise. Seamless integration across the IT landscape, enhanced scalability, cost efficiency, and FedRAMP compliance were essential to support legal, regulatory, and operational standards.
- Deploy a modern APM platform with cloud, AI, and ML capabilities
- Monitor security, application performance, and business KPIs in real time
- Integrate APM seamlessly across enterprise systems
- Improve scalability and cost efficiency of performance monitoring
- Achieve FedRAMP-compliant security standards with legal approval
- Enable proactive performance management and business decisioning
Implement a modern, secure, and scalable Application Performance Management framework to improve enterprise visibility, proactive monitoring, and FedRAMP-compliant cloud readiness.
Challenge
Barriers to Progress
The organization had spent 2–5 years attempting to identify and deploy an effective APM solution without success. No formal framework or governing principles existed to guide evaluation or implementation. The legacy tool was underutilized, and organizational understanding of APM value and use cases was limited. The team lacked the ability to monitor performance at granular user or application levels, making it difficult to diagnose issues and proactively manage system health.
- Multi-year unsuccessful APM identification and deployment effort
- No standardized evaluation framework or governance model
- Underutilized legacy APM tool with limited business value realization
- Inability to monitor performance at user and application levels
- Ineffective identification and root-cause analysis of performance issues
- Stringent FedRAMP compliance requirements
Solution & Results
What Paradigm Enabled
Paradigm led the full APM evaluation lifecycle, including RFP development, tool benchmarking, and vendor selection. An internal grading system was established to objectively assess top APM platforms against defined criteria and enterprise requirements. The selected solution emphasized predictive and prescriptive analytics capabilities, leveraging AI-driven bots to enhance monitoring and diagnostic functions. Enhanced KPI, SLA, and metric reporting improved visibility across business and IT stakeholders, enabling proactive performance management and stronger cross-functional alignment.
- $700K in evaluation cost savings compared to alternative vendor-led approaches
- 4–6 week acceleration in decision-making and deployment timeline
- Enterprise-wide APM grading framework institutionalized
- Enhanced monitoring across security, application, and business performance domains
- Improved visibility into KPIs, SLAs, and operational metrics
- Strengthened alignment between IT operations and business objectives
The public power supplier now operates with a modern, AI-enabled APM framework that enhances security oversight, improves application reliability, and supports proactive, data-driven enterprise performance management.
$700,000
In evaluation cost savings
4-6 week
Acceleration in decision-making and deployment timeline