New Relic
Correlate application performance with infrastructure costs. Optimize applications based on performance-cost analysis for maximum efficiency.
New Relic Integration Benefits
- Performance-cost correlation analysis
- Resource efficiency optimization
- Automated performance-driven cost alerts
- Application-specific cost allocation
- ROI optimization recommendations
Key Features
Performance-Cost Correlation
Link application performance metrics with infrastructure costs for complete visibility
Resource Efficiency Analysis
Identify optimization opportunities based on performance and cost data
Automated Cost Alerts
Performance-driven cost alerts and optimization recommendations
Performance-Cost Insights
Performance vs Cost Analysis
Correlate application response times with infrastructure spending
Resource Utilization Mapping
Map New Relic APM data to cloud resource costs and efficiency
Anomaly Detection
Detect performance degradation that impacts cost efficiency
Optimization Recommendations
AI-powered suggestions based on performance and cost patterns
Easy Setup in 4 Steps
Connect New Relic Account
Authenticate and connect your New Relic account to DeepCost
Configure Data Sources
Map New Relic APM, Infrastructure, and Browser data to cost metrics
Set Performance Thresholds
Define performance benchmarks and cost efficiency targets
Monitor & Optimize
View correlated insights and apply performance-based optimizations
New Relic Query Integration
# DeepCost New Relic NRQL Queries # Performance vs Cost Correlation SELECT average(duration) as avg_response_time, average(cpuPercent) as avg_cpu, average(memoryUsedBytes) as avg_memory, deepcost.hourly_cost as infrastructure_cost FROM Transaction, SystemSample WHERE appName = 'my-app' FACET host SINCE 1 day ago TIMESERIES # Application Cost Efficiency SELECT rate(count(*), 1 minute) as throughput, average(duration) as response_time, deepcost.cost_per_transaction as unit_cost FROM Transaction WHERE appName = 'my-app' FACET name SINCE 1 hour ago # Resource Utilization vs Spend SELECT average(cpuPercent) as cpu_utilization, average(memoryUsedPercent) as memory_utilization, max(deepcost.hourly_rate) as max_hourly_cost, average(deepcost.hourly_rate) as avg_hourly_cost FROM SystemSample WHERE hostname LIKE 'web-server%' FACET hostname SINCE 6 hours ago TIMESERIES 10 minutes # Error Rate Impact on Costs SELECT percentage(count(*), WHERE error IS true) as error_rate, average(duration) as avg_duration, sum(deepcost.wasted_cost) as cost_waste FROM Transaction WHERE appName = 'checkout-service' FACET name SINCE 1 day ago COMPARE WITH 1 week ago # Database Query Optimization SELECT average(duration) as query_duration, rate(count(*), 1 minute) as queries_per_minute, sum(deepcost.database_cost) as db_cost FROM DatabaseSample WHERE vendor = 'MySQL' FACET query SINCE 1 hour ago ORDER BY db_cost DESC LIMIT 10
Performance-Cost Dashboard
🚀 Performance Metrics
💰 Cost Metrics
Integrated New Relic Data Types
APM Data
- • Transaction performance metrics
- • Database query performance
- • External service calls
- • Error rates and traces
Infrastructure
- • CPU and memory utilization
- • Network and disk I/O
- • Host and container metrics
- • Process monitoring data
Browser & Mobile
- • Page load performance
- • User session data
- • JavaScript errors
- • Mobile app performance