Performance & Capacity Management

Welcome to our Performance & Capacity Management section. This area provides comprehensive guidance on optimizing system performance, planning capacity requirements, and ensuring optimal resource utilization across our Epic on Azure infrastructure.

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Quick Navigation

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Performance Framework

📊 Key Performance Indicators

• Response Time: Application response latency targets
  • Epic Hyperspace: < 2 seconds
  • Database Queries: < 100ms average
  • API Calls: < 500ms
• Throughput: Transaction processing capacity
  • Peak Users: 5,000 concurrent
  • Transactions/second: 10,000 TPS
  • Data Transfer: 10 Gbps sustained
• Availability: System uptime requirements
  • Production: 99.95% uptime
  • Critical Services: 99.99% uptime
  • Planned Maintenance: < 4 hours/month

🎯 Performance Tiers

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Capacity Planning Methodology

graph LR
    A[Current State Assessment] --> B[Growth Analysis]
    B --> C[Forecasting Models]
    C --> D[Scenario Planning]
    D --> E[Resource Requirements]
    E --> F[Cost Analysis]
    F --> G[Implementation Plan]
    G --> H[Monitoring & Review]
    H --> A

    subgraph "Data Sources"
        I[Historical Metrics]
        J[Business Projections]
        K[Industry Trends]
    end

    I --> B
    J --> C
    K --> D

Planning Horizons

• Tactical (3-6 months): Immediate resource needs
• Strategic (1-2 years): Major infrastructure changes
• Long-term (3-5 years): Technology roadmap alignment

Growth Factors

• User Growth: New departments, locations, users
• Data Growth: Historical data retention, new data types
• Feature Growth: New Epic modules, integrations
• Compliance Growth: Additional regulatory requirements

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Performance Monitoring

Real-time Metrics

• CPU utilization and trends
• Memory usage and allocation
• Disk I/O performance and capacity
• Network bandwidth and latency
• Application response times
• Database query performance

Monitoring Tools Integration

• Dynatrace APM: Application performance monitoring - Contact team for access
• Azure Monitor: Infrastructure metrics via Monitoring
• Splunk: Log analysis - Contact team for access
• Custom dashboards for Epic-specific metrics

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Capacity Planning Process

Monthly Capacity Reviews

1. Metrics Analysis: Review previous month's performance
2. Trend Identification: Identify growth patterns
3. Threshold Monitoring: Check against capacity thresholds
4. Forecasting Update: Update capacity projections
5. Action Planning: Plan resource adjustments

Quarterly Strategic Planning

1. Business Alignment: Review business growth plans
2. Technology Assessment: Evaluate new technologies
3. Budget Planning: Align capacity plans with budget cycles
4. Risk Assessment: Identify capacity-related risks
5. Roadmap Updates: Update infrastructure roadmap

Annual Comprehensive Review

1. Architecture Review: Assess overall architecture efficiency
2. Technology Refresh: Plan hardware/software refreshes
3. Disaster Recovery: Review DR capacity requirements
4. Compliance Planning: Plan for regulatory changes

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Performance Optimization

Database Optimization

• Query performance tuning
• Index optimization strategies
• Database maintenance procedures
• Connection pool optimization
• Storage performance tuning

Application Optimization

• Code profiling and optimization
• Caching strategies implementation
• Load balancing configuration
• Session management optimization
• API performance tuning

Infrastructure Optimization

• VM sizing and configuration
• Storage tier optimization
• Network configuration tuning
• Azure service optimization
• Cost optimization strategies

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Load Testing Strategy

Testing Types

• Load Testing: Normal expected load simulation
• Stress Testing: Beyond normal capacity testing
• Volume Testing: Large amounts of data processing
• Spike Testing: Sudden load increase handling
• Endurance Testing: Extended period performance

Testing Environments

• Pre-production: Mirrors production configuration
• Performance Lab: Dedicated testing environment
• Synthetic Testing: Automated continuous testing
• Production Monitoring: Real-world performance validation

Test Scenarios

1. Epic Go-Live: New facility deployment simulation
2. Year-End Processing: High-volume transaction periods
3. Disaster Recovery: DR environment performance validation
4. Software Updates: Performance impact assessment
5. Peak Usage: Maximum concurrent user scenarios

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Resource Optimization

Cost Optimization

• Right-sizing virtual machines
• Reserved instance planning
• Storage tier optimization
• Network cost optimization
• Azure cost management integration

Performance Optimization

• Auto-scaling configuration
• Load balancing optimization
• Caching strategy implementation
• CDN utilization for static content
• Database performance tuning

Efficiency Metrics

• Cost per transaction
• Resource utilization rates
• Performance per dollar spent
• Energy efficiency metrics
• Carbon footprint optimization

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Capacity Thresholds & Alerts

Warning Thresholds (75% capacity)

• Triggers capacity planning review
• Initiates procurement processes
• Updates growth projections
• Schedules optimization activities

Critical Thresholds (85% capacity)

• Escalates to operations team
• Triggers immediate scaling actions
• Initiates emergency procurement
• Updates executive stakeholders

Emergency Thresholds (95% capacity)

• Activates incident response
• Implements immediate mitigation
• Triggers executive escalation
• Documents lessons learned

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Tools & Resources

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Integration Points

With Monitoring

• Real-time performance alerting
• Capacity threshold monitoring
• Trend analysis and forecasting

With Operations

• Change impact assessment
• Maintenance window planning
• Resource provisioning coordination

With Financial Management

• Budget planning and tracking
• Cost optimization initiatives
• ROI analysis for infrastructure investments

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For performance issues or capacity concerns, contact our Performance Engineering Team via Support Guidelines.