Parse HTTP access logs, compute status code distribution, request methods, response times, traffic stats
Zero Dependencies Β· Works Offlineπ HTTP Log Input
What Can the HTTP Traffic Analyzer Do?
The HTTP Traffic Analyzer is a free online operations tool that parses HTTP access logs (Nginx/Apache Combined Log Format), computing status code distribution, request method distribution, response time distribution (avg/P95/P99), traffic size, top URLs, and error URLs. Ideal for website operations monitoring, performance analysis, and troubleshooting. All analysis is done locally in the browserβyour data is never uploaded to any server.
Core Features
- Status Code Distribution: Count and percentage of 2xx/3xx/4xx/5xx status codes
- Request Method Stats: Distribution of GET/POST/PUT/DELETE HTTP methods
- Response Time Analysis: Calculate avg, median, P95, P99 response times
- Traffic Statistics: Total traffic and average response size
- Top/Error URLs: Top 10 popular URLs and Top 10 error URLs
Usage Tutorial
1. Paste HTTP access logs (Nginx/Apache Combined format) into the input box.
2. Click "Analyze" or use the Ctrl+Enter shortcut.
3. View status code distribution, request methods, response times, and traffic stats.
4. Click "Copy Result" to copy the analysis report or download as JSON.
Application Scenarios
Scenario 1: Website Operations Monitoring
Operations teams regularly analyze Nginx/Apache access logs to monitor traffic and error rate trends.
Scenario 2: Performance Analysis
Developers use response time distribution (P95/P99) to identify slow requests and performance bottlenecks.
Scenario 3: Troubleshooting
Quickly filter 4xx/5xx error URLs to locate service anomalies and client issues.
Extended Knowledge
Nginx Combined Log Format: $remote_addr - $remote_user [$time_local] "$request" $status $body_bytes_sent "$http_referer" "$http_user_agent". Apache format is similar. Response time is an optional field; Nginx requires $request_time configuration. HTTP status code categories: 2xx=success, 3xx=redirect, 4xx=client error, 5xx=server error. P95 response time means 95% of requests complete within this time; P99 means 99%, a key metric for measuring tail latency.
β FAQ
Which log formats are supported?
Apache/Nginx Combined Log Format and Common Log Format, plus custom HTTP log formats.
How large a log can I analyze?
Browser-based; recommended max 10MB per analysis. Larger files may cause slowdowns.
What metrics are computed?
Status codes, request methods, avg/P95/P99 response times, total traffic, top URLs, error URLs.
Is data uploaded to a server?
No. All analysis is performed locally in your browser.
Does it support real-time monitoring?
Current version only supports static log analysis, not real-time monitoring.
How does it parse custom formats?
It first tries Nginx/Apache standard format, then falls back to extracting status codes and URLs.