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Knowledge Base

Advanced AppDynamics troubleshooting and tools

What are AppDynamics application troubleshooting tools, by issue?

AppDynamics provides various tools for troubleshooting different application issues. Our official documentation includes several pages dedicated to troubleshooting different application components. 

 

In this article

Find recommended tools to apply in specific use cases, including:

In addition, check out these consolidated references:


 

Slow application

USE CASE

Imagine what you might do in a situation where your service desk calls, telling you that there are complaints about slow logging into your application. What do you do?

 

And by the way, have you checked Analytics to see how the issue impacted your business? 

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Sudden increase of exceptions

USE CASE

An alert reported a higher than usual error rate for certain Business Transactions, and we simultaneously spotted a sudden increase of exceptions in the application dashboard. How do we analyse it?

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Networking bottleneck 

USE CASE

While analyzing a Business Transaction, you discovered a lot of issues between Tiers and towards the shared backend.

None of the application information, or system, points to a specific root cause but you can see the response time is unexplainably high. Before escalating to the network team, how can you further troubleshoot the Network Visibility yourself?

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Analyzing the JVM

USE CASE

You notice bottlenecks on all calls processed by a Tier (specifically a JVM cluster). While analyzing you discover that the Java Virtual Machines are under high load, but you can't pinpoint it to a specific piece of code causing the high resource load, and your team of developers needs more detail about the problems you discovered in AppDynamics. 

 

This kind of bottleneck often occurs due to underlying hardware, the JVM I/O Resources, and the JVM memory management which you now start to analyze in more detail.  

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Digging into problematic asynchronous calls

USE CASE

What if the application you monitor takes advantage of multithreading solutions? These documents will help you discover potential problems in the AppD Controller. See the AppDynamics Documentation for: 

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Health Rule violation analysis

USE CASE

Let’s say you get a new email from the AppDynamics Controller, showing a Health Rule violation. You ask yourself essential questions like: 

  • When was the Health Rule violated? 
  • Is the violation still ongoing? or not? 
  • What condition(s) deviated from the normal performance, and for which entities? 

 

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Performance impacting business

USE CASE

Based on your research, you know that your organization’s profits are highly correlated to user experience, and consequently to the performance of crucial business transactions. So, you look for a dedicated tool for such a purpose.

 

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Degraded cluster health

USE CASE

Your organization is facing the challenge of monitoring Kubernetes environments at scale. You would like to maintain visibility into the performance and health of the Kubernetes cluster, its underlying infrastructure, and running applications. You don’t want to put too much effort into deploying and maintaining the Agents.

 

What can AppDynamics offer in this scenario?

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Mobile app crash

USE CASE

Your mobile application’s end users start complaining in their Google Play and App Store reviews, and the app’s ratings fall. From their comments, you conclude that the application continuously crashes. You need an immediate root cause analysis. Your application team wants to start in AppDynamics. Where to look?

 

 

This time, you were able to solve the issue once you had a look at it. But how could you prevent running into similar issues in the future, without needing to rely on customer feedback?

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Performance pattern

USE CASE

Unquestionably, not every IT system is equally active 24/7, and the same is true for your application. At night, load decreases significantly. But Saturday afternoons, the application typically experiences a noticeable increase in active users. 

 

Will AppDynamics adjust to changing characteristics of the application metrics? 

 

What if a maintenance window or other planned abnormality is approaching, and you would like to suppress alerting for a set time?

 

Or (even better) how can we show that an abnormal behavior event (like Black Friday) is behaving normally despite the expected higher load? — e.g., "when does our system break, versus when the system is just under load or stress?"

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UX design challenges

USE CASE

In a competitive environment, every detail matters. Your UX design team puts a lot of effort into distinguishing your application from the competition: with outstanding UX for both browser and web applications. 

 

How can the design team understand your end users more fully? Do both front-ends perform well? Can AppDynamics be close enough to the end user to help in defining the persona?  

 

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Identifying expensive dB queries

USE CASE

It's an old truth that the database is “always the bottleneck”. Some transaction snapshots were categorized as slow and very slow. You see no pattern in neither Business Transaction, nor nodes. Might some transactions share the same, expensive dB queries? 

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Index | Troubleshooting resources by scenario

SCENARIO

TYPE

     RESOURCE LINKS

Slow application

Tools

Slow Response Time

.NET Slow Response Times

Training

Troubleshoot Slow Transactions

Troubleshooting Using Transaction Snapshots

Video

Troubleshooting With AppDynamics

Automated Transaction Diagnostics

Mobile App is crashing

Tools

Troubleshoot Mobile

Crash Analyze

Training

Mobile Crashes and Code Issues

Sudden increase of exceptions

Tools

Errors and Exceptions Analyze

Training

Troubleshoot Error Transactions

Video

Troubleshooting With AppDynamics

Networking bottleneck

Tools

Network Issue Use Cases

Training

Diagnose Network Issues

Analyzing the JVM

Tools

Java Resource Issues

Java Memory Leaks

Java Memory Thrash

JVM Crash Guard

Training

Automatic Leak Detection

Object Instance Tracking

Health Rule violation analysis

Tools

Troubleshoot Health Rule Violations

Training

Proactive Monitoring and Dashboards Workshop

Video

Troubleshooting With AppDynamics

Alert Sensitivity Tuning

Performance impacting business

Tools

Troubleshoot Business 

Training

Experience Level Management

Video

Information Points

Cluster Health is degraded

Tools

Monitoring of the Cluster Health

Articles

Introducing Cluster Agent

Video

K8 Cluster Agent 

Performance pattern

Tools

Discover Normal Activity

Automated Transaction Diagnostics

Video

Metric Browser

Automated Transaction Diagnostic

Identifying expensive dB queries

Articles

Troubleshoot DB queries

Training

Too Many/Slow Database Calls

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Additional Resources

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Version history
Last update:
‎10-26-2021 10:22 AM
Updated by:
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