Kong API Analytics
Monitor and analyze APIs passing through Kong Gateway with Atatus. Get real-time insights into API traffic, request-response data, latency, and error rates to ensure high performance and reliability.
Request Throughput
Measures the number of API requests handled by Kong over time. Helps you understand usage patterns, identify traffic spikes, and scale infrastructure accordingly.
Consumer Analytics
Provides visibility into API usage by individual consumers or clients. Useful for tracking API adoption, enforcing rate limits, and understanding user behavior.
Health of Upstream Services
Monitors the availability and status codes returned by upstream services connected to Kong. Detects service downtime, degraded endpoints, and supports automatic failover decisions.
Unified Observability for Every Engineering Team
Atatus adapts to how engineering teams work across development, operations, and reliability.
Developers
Trace requests, debug errors, and identify performance issues at the code level with clear context.
DevOps
Track deployments, monitor infrastructure impact, and understand how releases affect application stability.
Release Engineer
Measure service health, latency, and error rates to maintain reliability and reduce production risk.
Gain Real-Time Visibility Into Kong API Traffic and Performance
Monitor API throughput, response timing, latency distribution, and usage trends from Kong Gateway to understand how your APIs perform in production.
Unclear API Traffic Patterns
Without throughput metrics, spikes or drops in API usage remain hidden, obscuring real demand on your services.
Latency Issues Hide in Averages
Overall averages mask response-time distribution, and viewing latency percentiles highlights when APIs start lagging under load.
Slow Endpoints Go Unnoticed
Individual routes can slow down even if overall performance looks normal, and route-level timing shows which endpoints contribute most to latency.
Usage Trends Are Hard to Quantify
Without segmented insights, it is difficult to see which clients or consumers generate the most traffic over time.
Performance Shifts Over Time Are Invisible
Historic throughput and timing trends reveal gradual regressions that may not trigger immediate alerts but can affect reliability.
Frequently Asked Questions
Find answers to common questions about our platform