By default, AppDynamics captures tons of useful metrics from your java application. Average response time of your Applications, JDBC response times, Throughput, Heap and Garbage Collection Metrics etc. In addition, AppDynamics automatically captures Transaction Snapshots (that provide deep diagnostics) periodically and during slow response times. The snapshots will reveal the hotspots up to the method level.
But at times, you may want to monitor a particular method for performance metrics. For example, you may want to know how often a method named ‘cancelOrder’ is called and how long it takes to process. For requirements like this, AppDynamics provides a neat way of instrumenting your java method – Information Points.
To configure a new Information Point, navigate to Analyze -> Information Points. Click on the New button at the top.
One of the major uses of an APM such as AppDynamics is the ability to collect application data at method level. For example, let’s say you have a method named processOrder in your code that accepts OrderID and Username as parameters. What if you want to capture the Username as part of the performance metrics ? This can be extremely valuable, for instance, to identify which user could be submitting orders that are very slow to process. In AppDynamics, you can achieve this by using Data Collectors. In this blog post, let me show you how it is done.
- Log on to AppDynamics Controller UI
- Navigate to Configuration -> Instrumentation and click Data Collector tab
- You have two types of Data Collectors to choose from
- Method Data Collector – Captures method arguments and return values.
- HTTP Data Collector – Captures URLs, Headers and Cookies
- Click on Add under the Method Data Collector
- Configure the Method Data Collector as follows
- Name: Provide a meaningful name for this Data Collector
- Select Apply to new Business Transactions. If you don’t select this, you have to manually select the Business Transactions.
- Provide the method signature (identifying a method) by its fully qualified class name and method name.
- If the method is overloaded, i.e the same method name with various arguments, you need to select Is this Method Overloaded check box and choose the method signature you want to monitor
- Optionally specify match condition to choose the method
- Under Specify the data to collect from this Method Invocation, enter a display name (this is the name that will show up in Transaction Snapshots under User Data) and the data to collect. You can collect method arguments and/or return values
- Note that you can also configure HTTP Data Collector if you wish you capture HTTP metadata such as URLs, Cookies and Header values.
Remember how Adobe (Macromedia) Flash created such a buzz and ruled the world for over a decade ? While websites created with HTML/CSS/CGI looked like beat-up Kia, websites created with Flash looked like brand new Mercedes Benz. A complete industry was born after Flash animation. Alas, Flash is destined to die due to the enormous amount of security vulnerabilities and Performance issues. While I’m sad that Flash is going away, that is the reality in this fast-paced Information Era. Only the fittest survive. And we are about to see if Java EE is fit enough.
Image Source: oracle.com
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Glad you are here. It’s time to take a deeper look at all the various monitoring metrics that AppDynamics provides. We have so far done the following:
- Installed AppDynamics Controller
- Installed a sample application (Node.js,REST and mysql) and installed appdynamics agent
- Ensured the application shows up in the controller UI.
Note that we have not customized any monitoring elements yet. i.e whatever we are going to see is out-of-the box, which is one of the coolest things about AppDynamics. Let’s start.
How to view the Flow Map of the Application ?
Application flow map provides an excellent view of the data flow of the application. AppDynamics automatically tracks all the inbound and outbound calls of the instrumented application and attempts to draw this flow map. It is like an interactive Visio Diagram of the application infrastructure architecture that you did not create. (AppDynamics created it for you). Let’s take a look at the Flow Map of the sample application we have instrumented.
So you have installed AppDynamics Controller, instrumented a simple Java Application and even viewed it from AppDynamics Controller UI. You have come a long way. Excellent work! In this blog post, I’ll take you a step further by showing you how to view critical Application Metrics in the UI. In order to get to see various monitoring metrics, let us use a more sophisticated application (one with a backend database).
Fortunately a sample application is available at github specifically for this purpose. Kudos to the developers who made this available to all of us. The application is based on Docker (no surprise there) so you need to have Docker installed in your server that you are planning to use as the Application host. If you don’t want to go this route, simply instrument one of your applications (preferably in Dev environment).
Here are the steps to install the docker based sample application.
- Clone the git repo
git clone https://github.com/Appdynamics/SampleApp.git