Apache HTTP Server monitoring
Monitor your Apache web server performance. Try free for 15 days!
Monitor your Apache server performance
With Dynatrace you get deep-level visibility into each of your web server process groups, including dependent applications and running services. When problems are detected, the Dynatrace anomaly-detection engine correlates host and network metrics with web-server specific metrics, busy workers, response sizes, and number of requests, to identify the root causes.
Dynatrace Apache monitoring shows you all relevant information in an interactive infographic. Meta information like application version, configuration path, and used ports are included. See availability metrics and events like deployment changes and Apache restarts.
See the services and databases related to your web server, along with all key metrics.
See Apache-specific metrics (without plugins!)
Just install Dynatrace Agent to see the metrics you need. For Apache, Dynatrace shows you:
- Response sizes
- Busy workers
System performance metrics (CPU, memory, and more) are also available.
You get details about network traffic, TCP requests, and connectivity, along with quality metrics like retransmissions, round-trip time, and throughput.
See requests, response sizes, and busy workers.
Analyze response time hotspots down to the module level
With deep process monitoring enabled, Dynatrace analyzes the response time of each Apache service running within each process. Each service page enables you to analyze response time hotspots so that you can see what activities are consuming the most time for each service.
On the Response time analysis page you see the average response time observed during the analyzed time frame. The infographic also shows how much time is contributed by Apache modules like mod_proxy and others.
Analyze the response time of your Apache services.
Auto-detect your application environment and performance anomalies!
Dynatrace full stack monitoring extends web server monitoring beyond basic status metrics. With a single agent installed on your server, Dynatrace auto-detects all Apache web servers in your application environment. See the full picture of your application topology and identify dependencies between tiers in your application stack.
CPU saturation slowing down your database, your services, and your website? You'll receive a single notification that addresses the root cause of the problem, not multiple alerts for you to sort through and analyze. Using artificial intelligence, Dynatrace detects performance anomalies before they affect customer experience.
Dynatrace automatically detects and your application topology and visualizes it in an interactive map.
Visualize Apache service requests end-to-end
Dynatrace understands your applications’ transactions from end-to-end. Service flow shows the actual execution of each individual service and service-request type. While Smartscape shows you your overall environment topology, service flow provides you with the view point of a single service or service-request type.
The screenshot shows what the 'orange.jsf' web request of an Apache service triggers in the system and how each component contributes to the overall response time. As you can see, this perspective provides far more detail than Smartscape view. This degree of analysis enables you to understand the bigger complexities within your system.
Dynatrace service flow visualizes Apache service requests end-to-end.
Monitor real user performance without code changes
- Monitor the availability and performance of your web applications by recording synthetic monitoring using a simple point-and-click interface.
What is Apache?
Apache HTTP Server, commonly known as “Apache,” has been the world’s most popular web server software for 20 years running. As an important part of the classic LAMP stack, Apache is a critical component in your web architecture that needs to be monitored.
With Dynatrace you monitor and visualize Apache metrics in the context of your web services that run on Apache. Keep an eye on Apache processes, CPU, and memory consumption.