Overview
This section provides comprehensive performance data, technical specifications, and capacity planning information for all Aviatrix components. Use this data to size deployments, plan capacity, and optimize performance across your cloud networking infrastructure.What You’ll Find Here
Gateway Performance
Detailed performance metrics and specifications for transit, spoke, and edge
gateways
Network Performance
Network throughput, latency, and connection limits across different
configurations
Security Performance
Performance impact and specifications for security features and policies
Capacity Planning
Guidelines and tools for capacity planning and performance optimization
Performance Categories
Gateway Performance
Comprehensive performance data for all gateway types including:- Transit Gateways: Throughput, connection limits, and routing performance
- Spoke Gateways: Application-specific performance characteristics
- Edge Gateways: VPN and security service performance metrics
Network Performance
Network-level performance specifications covering:- Throughput: Maximum data transfer rates across different scenarios
- Latency: Network latency characteristics and optimization guidelines
- Scalability: Connection limits and scaling characteristics
Security Performance
Security feature performance impact and specifications:- Firewall Performance: Distributed firewall throughput and connection rates
- VPN Performance: Various VPN protocol performance characteristics
- Inspection Services: Deep packet inspection and threat detection performance
Platform Performance
Cloud platform-specific performance characteristics:- AWS Performance: EC2 instance type optimization and networking limits
- Azure Performance: Virtual machine sizing and network performance
- GCP Performance: Compute instance optimization and networking capabilities
- Multi-Cloud: Cross-cloud performance considerations and optimization
Performance Testing Methodology
Test Environment Standards
- Isolated Test Networks: Dedicated testing environments to eliminate variables
- Standardized Workloads: Consistent traffic patterns and application simulations
- Multiple Cloud Regions: Testing across different geographic locations
- Baseline Measurements: Consistent baseline establishment for comparative analysis
Measurement Standards
- Throughput: Measured in Gbps for sustained traffic over 60-second intervals
- Latency: Round-trip time measurements with 95th percentile reporting
- Connection Rates: New connections per second with sustained load testing
- Resource Utilization: CPU, memory, and network utilization during peak loads
Test Scenarios
- Best Case: Optimal conditions with minimal network latency and maximum bandwidth
- Typical: Real-world conditions with normal network variability
- Stress Testing: Maximum load conditions to determine breaking points
- Mixed Workloads: Combined traffic patterns representing real applications
Performance Optimization Guidelines
General Principles
- Right-Sizing: Choose appropriate instance sizes for workload requirements
- Geographic Optimization: Deploy resources close to users and applications
- Network Optimization: Optimize routing and eliminate unnecessary hops
- Security Balance: Balance security features with performance requirements
Monitoring and Tuning
- Continuous Monitoring: Implement comprehensive performance monitoring
- Proactive Tuning: Regular performance analysis and optimization
- Capacity Planning: Plan for growth and seasonal traffic variations
- Performance Baselines: Establish and maintain performance baselines
Documentation Standards
Data Accuracy
All performance data is:- Lab Verified: Tested in controlled laboratory environments
- Field Validated: Confirmed through real-world deployments
- Regularly Updated: Refreshed with each software release
- Version Specific: Tied to specific software and hardware versions
Data Presentation
- Consistent Units: Standardized measurement units across all documentation
- Clear Methodology: Detailed explanation of testing procedures
- Confidence Intervals: Statistical significance and margin of error reporting
- Comparison Tables: Easy-to-read performance comparison formats
Performance data is based on laboratory testing and real-world deployments.
Actual performance may vary based on network conditions, traffic patterns, and
configuration settings.