Analytics

Analytics

View detailed analytics and insights for your APIs with aggregated performance metrics.

Accessing

1. Navigate to → Analytics
2. Select application, environment, and time window

Filter Controls

• Applications: Select service/application (e.g., "acl-service")
• Environment: Toggle between development, production, staging
• Time Window: Last 5 min to 24 hours
• Filters: Method, Status Code, Consumer ID (dropdown selectors)

Summary Statistics

Four key metric cards:

• Total Spans: Total number of API requests
• Avg P99 Latency: Average 99th percentile latency in milliseconds
• Error Count: Total number of failed requests
• Error Rate: Percentage of failed requests

Top Endpoints Views

Two tabs for analyzing endpoint performance:

1. Top Endpoints by Request Count

• Lists endpoints sorted by number of requests
• Shows: Method, Path, Status Code, Request count with percentage
• Example: GET /health 200 - 296 (98.7%)
• Helps identify most frequently accessed endpoints

2. Top Endpoints by Latency

• Lists endpoints sorted by average latency
• Shows: Method, Path, Status Code, Request count, Average latency in ms
• Example: GET /api/v1/tenants/... 200 - 2 requests 256.00 ms
• Helps identify slowest endpoints

Use Cases

• Traffic Analysis: Identify highest traffic endpoints by request count
• Performance Optimization: Find slowest endpoints using latency view
• Error Monitoring: Track error count and error rate trends
• Capacity Planning: Use total spans to understand API load
• Service Health: Compare metrics across different applications and environments

Best Practices

• Review Top Endpoints by Request Count to identify hot paths
• Use Top Endpoints by Latency to prioritize optimization efforts
• Monitor error rate to detect service degradation
• Combine with Monitoring & Observability for detailed trace analysis
• Filter by specific methods or status codes to narrow analysis