Server CPU monitoring involves the use to multiple tools and approaches for monitoring the overall performance of web and application servers. Primarily, server CPU monitoring refers to the collection of machine- and infrastructure-level metrics such as Disk I/O, throughput, and memory usage. While these metrics help operation teams understand their infrastructure, they often do not have the capability of finding, isolating and troubleshooting the various problems can that originate in the application code.
As an application performance management solution, AppDynamics provides all the necessary metrics of server CPU monitoring tools, besides the troubleshooting capabilities of APM software. Here we look at a few limitations of CPU server monitoring along with the answers provided by APM.
Map your application topology along with visualizing server health
Track chief server metrics and performance over time
Drill down to code level detail to troubleshoot slow performance
Resolve bottlenecks before they end users are affected
All Server CPU Monitoring Tools Are Not Enabled For Automatic Application Discovery.
AppDynamics quickly and seamlessly identifies and maps your application topology, revealing where the latency exists across various application tiers.
Server CPU Monitoring Tools Lack Business Transaction Context
Unlike server monitoring, application monitoring has the capacity to understand Business Transactions. Keeping in mind the Business Transaction context, it becomes a lot simpler to prioritize the critical performance bottlenecks based on the transactions they affect.
Agent-less Server Monitors Cannot Perform Call Stack Traces
Most server monitoring software do not offer code-level insight into performance bottlenecks. However, AppDynamics resides inside the application container and effectively delivers class and method-level detail around performance bottlenecks, simplifying the process of detecting and fixing problems.
Server CPU Monitoring Tools Utilize Basic Alerting Thresholds
Although server CPU monitoring tools have alerting capabilities, your alerts are s good as the thresholds they are generated on. Static alerts are often too high or too low, and this results in either too few or too many alerts and ultimately these are redundant because they are inaccurate. AppDynamics on the other hand provides alerts on Business Transaction and infrastructure metrics. To ensure that you get alerts when they really matter, these alerts must be based on algorithms that assess deviation from normal behavior.
Other Types of Server CPU Monitoring
Server monitoring often includes various different types of tools:
Physical server monitoring tracks the physical environment of the server, and that includes temperature, humidity, liquid presence, motion, and more. This is extremely advantageous for supervising large data centers.
Infrastructure-level server monitoring offers Disk I/O, memory, CPU Utilization, and additional Operating System metrics.
Network-level server monitoring reveals the network time between servers including application mapping capabilities. This is achieved with a physical device that resides on the network and checks packets.
Application server monitoring refers to tracking tools that are in the application container - and these tools can extract JMX metrics and Perfmon counters like heap utilization, garbage collection, process-specific CPU, etc. and do not have the flow maps, details of code execution, or Business Transactions normally found in full-fledged application performance management software.
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Hector Aguilar, Chief Technology Officer and Senior Vice President of Engineering, Okta
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