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.
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.
Key metrics
What you can track.
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.
Teams
Unified Observability for Every Engineering Team
Atatus adapts to how engineering teams work across development, operations, and reliability.
Developers
Debug errors and slow paths with the full context of what happened.
Atatus for developersDevOps
Track deployments and see how each release affects stability.
Atatus for DevOpsRelease engineers
Watch latency and error rates to ship with less production risk.
Atatus for release engineersCore Platform Capabilities
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.
- 01
Unclear API Traffic Patterns
Without throughput metrics, spikes or drops in API usage remain hidden, obscuring real demand on your services.
- 02
Latency Issues Hide in Averages
Overall averages mask response-time distribution, and viewing latency percentiles highlights when APIs start lagging under load.
- 03
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.
- 04
Usage Trends Are Hard to Quantify
Without segmented insights, it is difficult to see which clients or consumers generate the most traffic over time.
- 05
Performance Shifts Over Time Are Invisible
Historic throughput and timing trends reveal gradual regressions that may not trigger immediate alerts but can affect reliability.
FAQ
Frequently Asked Questions
Pricing, deployment, data and the agent. If something is missing, a person will answer it on a demo call.
Kong API monitoring refers to tracking the performance and usage of APIs managed through Kong Gateway. It helps teams detect issues early, measure latency, and understand usage patterns through Kong API analytics. Monitoring is essential to ensure high availability, performance, and security across your APIs. Without it, bottlenecks, failures, or anomalies could go unnoticed, impacting both end users and backend systems.
Atatus API Analytics provides deep insights into API traffic by capturing API calls, user behavior, and trends across your Kong Gateway. It enables tracking of API usage by individual users or companies, monitors errors, and supports advanced filtering and segmentation for debugging and analytics. Atatus also offers real-time alerts, API monetization insights, and retention tracking, helping you optimize your API strategies effectively.
Some of the best Kong observability tools include:
- Atatus – for comprehensive real-time monitoring, API analytics, latency tracking, and failure analysis.
- Prometheus & Grafana – great for custom metrics and visualizations in Kong Gateway monitoring setups.
- Kong Vitals – offers built-in API metrics and charts.
- OpenTelemetry – used for exporting telemetry data from Kong to various backends.
Each tool offers unique strengths in visualizing Kong API Gateway metrics and traffic.
Key Kong API Gateway metrics you should track include:
- Request Volume – to measure traffic flow and detect usage spikes.
- Latency Metrics (avg, p95, p99) – to understand API responsiveness.
- HTTP Status Codes – to track success, failures, and redirects.
- Throughput – to measure API payload capacity over time.
- API Errors & Stack Traces – to debug failed requests.
- Security Events – such as rate-limiting violations or failed authentication attempts.
These API monitoring metrics ensure reliable performance, scalability, and security of your APIs.
Integrating Atatus with Kong Gateway is seamless and efficient. Here is a quick look at how it works and why it’s optimized for performance and flexibility:
1. Visibility into API Usage
- Understand which APIs are most/least used.
- Track usage by user, application, or company.
- Identify usage patterns and trends over time.
2. Error and Anomaly Detection
- Detect spikes in 4xx/5xx errors in real-time.
- Identify failing endpoints and root causes quickly.
- Get alerted on abnormal behaviors or API abuse.
3. Performance Monitoring
- Measure request latency (avg, p95, p99), throughput, and response time.
- Find slow endpoints and optimize them.
- Correlate performance with backend services.
4. Business Insights
- Understand user retention and engagement by API.
- Segment users based on usage for personalized experiences.
- Discover monetization opportunities through usage analytics.
5. Data-Driven Decision Making
- Back product decisions with real API usage data.
- Prioritize features based on how customers use the API.
- Align engineering and business goals with measurable KPIs.
6. Security and Compliance
- Monitor for suspicious traffic or bot attacks.
- Audit access patterns for compliance requirements.
- Identify misused or deprecated APIs.
To monitor APIs in Kong Gateway, you can:
- Enable monitoring/logging plugins like Atatus.
- Track critical API Gateway metrics – latency, status codes, errors, and throughput.
- Use dashboards from Kong API analytics tool like Atatus
- Set up alerts for performance drops or failures.
This setup gives you real-time visibility into your API behavior, helping with optimization and troubleshooting.