How to Monitor Apache Web Server Performance Metrics

Apache is a free open-source, cross-platform web server that’s popular for its stability and modular architecture. Proactively monitor and manage server health with an Apache monitoring strategy that ensures a quality, easy-to-scale user experience and identifies potential problems.

What is Apache Web Server?

Apache is a free open-source web server with a longstanding history of efficiency and stability. Its modular architecture makes it easily configurable for a range of functionalities, including security, caching, password authentication, and URL manipulation. Apache server helps streamline cross-platform environments with support for Unix, Linux, or Windows operating systems.


Why is Apache Monitoring Important?

Despite its reputation for reliability, Apache performance monitoring is essential to maintaining and optimizing the user experience. Ensuring that your web server is properly configured to handle the scale of usage can prevent performance issues such as bottlenecks, outages, or longer load times, and real-time monitoring can provide valuable clues to help identify and mitigate impending crises.


Key Elements of Apache Monitoring Tools

An effective web server monitoring plan ensures that the server is capable of accepting requests and responding with the correct content in a timely manner. The mod_status module of Apache contains most of the relevant monitoring tools to assess these objectives. The number of requests received, the response codes generated, the latency rate, the content returned, and the end result of errors or exceptions are all critical clues to the overall health of the server. 


Metrics to Monitor

The most comprehensive assessment of the health of your Apache HTTP server is achieved through a combination of Apache status module metrics and infrastructure-based KPIs, including: 

  • Number of requests per second
  • Response time
  • Uptime
  • ​Bytes per second
  • Bytes per request
  • CPU usage
  • Disk usage
  • Memory usage 
  • Idle workers
  • ​Busy workers
  • Network bandwidth
  • CPU load
  • Total accesses

 


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