Splunk AppDynamics

Profiling Azure Worker Role in AppDynamics

CommunityUser
Splunk Employee
Splunk Employee

Hello All,

I am looking for something to do for Azure Worker Roles what New Relic and AppDynamics can do for Microsoft Azure Web Roles. I have tried both solutions for my background workers with little success. Am I missing something in configuration for either of these services or is there another service out there that can do what I need? I am open to hosting my own service if there is an option I run "locally".

What I'm looking for:

1. See hot paths (Which methods are taking up the most CPU)
2. See bottle necks (Methods that are stalling, and the callers would be nice)
3. Near real-time CPU/Memory/Disk/Network usage
4. Web Interface to view all of these stats


Nice to have:

Pull windows and azure event logs from the server

Thanks

Labels (3)
Tags (2)
0 Karma

CommunityUser
Splunk Employee
Splunk Employee

Hi,

Have you looked at the following documentation?

https://docs.appdynamics.com/display/PRO44/Deploy+AppDynamics+for+Azure

Once the above is done, you can set custom businesss transactions and information points for the metrics you mentioned in your post.

Thanks

Gurmit.

Got questions? Get answers!

Join the Splunk Community Slack to learn, troubleshoot, and make connections with fellow Splunk practitioners in real time!

Meet up IRL or virtually!

Join Splunk User Groups to connect and learn in-person by region or remotely by topic or industry.

Get Updates on the Splunk Community!

Index This | What travels the world but is also stuck in place?

April 2026 Edition  Hayyy Splunk Education Enthusiasts and the Eternally Curious!   We’re back with this ...

Discover New Use Cases: Unlock Greater Value from Your Existing Splunk Data

Realizing the full potential of your Splunk investment requires more than just understanding current usage; it ...

Continue Your Journey: Join Session 2 of the Data Management and Federation Bootcamp ...

As data volumes continue to grow and environments become more distributed, managing and optimizing data ...