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Table of Contents
What are the common Java APM tools?
How to determine whether APM is needed?
How to choose the APM tool that suits you?
What should you pay attention to when using APM?
Home Java javaTutorial Java Application Performance Monitoring (APM) Tools

Java Application Performance Monitoring (APM) Tools

Jul 24, 2025 am 03:37 AM

Common Java APM tools include New Relic, Datadog APM, AppDynamics, SkyWalking, Pinpoint and Prometheus Grafana Micrometer combinations; whether APM is required depends on system lag, complex microservice calls, performance details and optimization requirements; APM should consider deployment methods, learning costs, performance impact, cost and integration capabilities; when using them, you should pay attention to reasonable configuration, sampling rate, alarm rules, and analyze the root cause in combination with code.

Java Application Performance Monitoring (APM) Tools

The performance monitoring (APM) tool for Java applications is simply used to "start" your Java programs to run steadily or quickly. If you find that the system response is slow, the interface timeouts frequently, and the resource occupancy is abnormal, you may need a reliable APM to help you locate the problem. This type of tool can not only help you see the overall running status, but also go deep into the code level to analyze bottlenecks.

Java Application Performance Monitoring (APM) Tools

The following is a few practical use scenarios and talk about the commonly used APM tools and how to choose and use them.


What are the common Java APM tools?

Currently, there are many mainstream Java APM tools on the market, each with its own focus. Common ones are:

Java Application Performance Monitoring (APM) Tools
  • New Relic : It has a friendly interface, suitable for quick access, and supports automatic detection of many frameworks, such as Spring Boot.
  • Datadog APM : It has high integration, and it is more convenient to use with its logs and monitoring products.
  • AppDynamics : Enterprise-level tool, powerful and suitable for complex systems, but it is also a little troublesome to configure.
  • SkyWalking : Open source free, domestic, active community, suitable for teams who want to build their own but don’t want to spend too much money.
  • Pinpoint : Also open source, developed by Koreans, it does a relatively detailed tracking of Java.
  • Prometheus Grafana Micrometer : Although it is not an APM in the traditional sense, it can also be used as a basic indicator collection and display when combined.

Some of these tools are SaaS services, and some can be deployed locally and selected according to your budget and needs.


How to determine whether APM is needed?

In fact, not every project has to install APM. We recommend that you consider introducing the following situations:

Java Application Performance Monitoring (APM) Tools
  • The system occasionally stumbles after it is launched, but there is no obvious error in the log
  • It is the responsibility of multiple microservices to be called frequently, but if there is a problem, it is difficult to locate it.
  • Want to understand the details of SQL execution time, HTTP request time, etc.
  • There are performance optimization requirements, such as improving QPS or reducing latency

If you are just writing a gadget or a small service for testing the environment, you may not need it for the time being. But once you enter the production environment and increase the number of users, APM is almost standard.


How to choose the APM tool that suits you?

When choosing APM, you cannot just look at the many functions, but also need to combine them with the actual situation. The following dimensions can be referenced:

  • Deployment method : Do you want to set up a server by yourself? Is there any operation and maintenance capability?
  • Learning cost : Will it be too complicated? Is there any documentation and community support?
  • Performance impact : Some APM instrumentation will cause certain performance losses, especially for method-level tracking.
  • Cost : The commercial version is expensive at most several thousand US dollars per month. Although the open source solution is free, it also requires manpower to build and maintain it.
  • Integration capability : Can it be connected with the existing CI/CD processes and alarm systems?

For example, if it is a small and medium-sized team and wants to achieve results quickly, SaaS solutions such as New Relic or Datadog are more suitable; if the company has strong technical capabilities and wants to invest in the long term, open source solutions such as SkyWalking are more suitable.


What should you pay attention to when using APM?

Installing an APM does not mean that the problem can be solved. Some points to pay attention to in actual use:

  • Don't open it all, especially in-depth tracking, which will affect performance
  • Configure the sampling rate well to avoid excessive data causing high storage pressure
  • Set reasonable alarm rules so that notifications don't overwhelm the real problems
  • Check reports regularly to develop the habit of discovering problems through data

In addition, APM is just an auxiliary tool that can tell you "where to be slow", but "why it is slow" depends on you to analyze code logic, database index, network status, etc.

Basically that's it. APM tools seem quite complicated, but as long as you figure out what problems you want to solve, it is actually not difficult to choose the right direction.

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