Apache HTTP ServerMetricapache_cpu_time
Jiffs used by processes of given category.Dimensions:None
Available on:
OpenTelemetry (1)
OpenTelemetry (1)Interface Metrics (1)
Sources
Knowledge Base (6 documents, 0 chunks)
guideApache Server Monitoring: Tools & Key Metrics to Measure [2023]4339 wordsscore: 0.92Comprehensive guide covering Apache HTTP Server monitoring fundamentals, including Multi-Processing Modules (MPMs), key performance metrics exposed via mod_status, and resource utilization monitoring. Provides actionable insights on what metrics to track for different MPM types (Prefork, Worker, Event) and how to interpret them for capacity planning and troubleshooting.
troubleshootingApache HTTPD high CPU on RHEL - Red Hat Customer Portal555 wordsscore: 0.72Red Hat troubleshooting guide for diagnosing high CPU utilization in Apache HTTPD servers. Focuses on debugging techniques using enhanced logging, thread dumps via pstack/gstack, and correlating access logs with process information to identify performance bottlenecks.
documentationApache Web Server Dashboard | SigNoz442 wordsscore: 0.95This is documentation for a pre-built Apache HTTP Server monitoring dashboard in SigNoz. It provides comprehensive visibility into Apache metrics including request handling, CPU performance, worker processes, traffic patterns, and server load monitoring through OpenTelemetry receivers.
referencemod_status - Apache HTTP Server Version 2.4736 wordsscore: 0.95Official Apache HTTP Server documentation for mod_status module, which provides server activity and performance metrics through web-based interfaces. Covers how to enable status reporting, access machine-readable metrics, and use status information for troubleshooting server resource consumption issues.
best practicesApache Performance Tuning - Apache HTTP Server Version 2.45043 wordsscore: 0.65Official Apache HTTP Server documentation covering performance tuning configuration options. Focuses on hardware requirements, operating system considerations, and runtime configuration directives that affect server performance including memory management, DNS lookups, and file system optimization.
troubleshootingFix Slow Tomcat Performance - Blog - Silicon Cloud216 wordsscore: 0.55This blog post provides general troubleshooting guidance for slow Tomcat server performance. It covers basic diagnostic steps including checking resource usage, reviewing log files, optimizing configuration parameters, and examining application code and database queries.
Related Insights (3)
Apache 500 Errors from Backend Resource Exhaustioncritical
Apache returns HTTP 500 Internal Server Error when backend application resources (CPU, memory) are exhausted, often masking the true root cause as generic server failure.
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JVM Heap Memory Pressure Leading to GC Thrashingcritical
When JVM heap usage exceeds 85-90%, frequent garbage collections occur, consuming CPU and causing request processing delays. This creates a feedback loop where GC pauses prevent request completion, further increasing heap pressure.
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CPU Wait Time Indicating I/O Bottleneckswarning
High CPU wait time in apache_cpu_time suggests I/O or network bottlenecks rather than compute limitations. This often indicates slow disk operations, network latency to databases, or issues with external service dependencies.
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