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Extensive use cases, dozens of primary and secondary use cases ranging from core application monitoring at the global level to micro level performance analysis at the transaction level. AppD provides the ability to also manage total interactions at the web/mobile browser level, the database and core infrastructure including server level and L4 network.
We are a services organization, so we use AppDynamics with our customers. It has allowed us to expand our footprint in the application management business with virtually all of our major accounts. We were able to expand and go into other applications that we weren't in or offering previously. We have a new value proposition for our customers- enhanced visibility, enhanced stability, and we can reduce our costs to them because our cost structure is reduced by using AppDynamics. We have other examples like this as well where AppDynamics has improved the way we function and operate. As of date of this article, our company has in excess of 30,000 AppDynamics agents deployed globally and we are monitoring billions of annual page views for major customers.
Furthermore, AppDynamics is a key toolset and drives tremendous value and efficiency in our remote performance management center which supports over 10,000 retail locations on behalf of our retail customers.
I have been using this solution for more than five years.
We didn't have any issues with stability. Highly stable with extremely light impact- negligible.
We didn't have any issues with scalability. Unbelievably scalable - we selected this solution for its ability to aggregate thousands and thousand of end point monitoring.
Customer Service:
AppDynamics redefines customer services, especially in post sales support- maybe one of the most responsive service desk teams in the industry.
Technical Support:
They have done a superb job of getting some obscenely bright software people with a passion for customer services and unleashed them in the market. Some of the finest technical support in the industry.
The initial setup was extremely straightforward- we can have an enterprise deployment with several dozen end points being monitored in less than 3 hours.
Our first few implementations we did ourselves and then for our first major customer implementation we got AppDynamics to assist. We currently support all of our internal and external deployments.
We're regularly looking at various options. Even before we made the decision to standardize on AppDynamics, we already had experience with BMC Appsight. We also had experience using Dynatrace, CA and Gomez at some of our customer's environments. We also heard our customers talking about their experiences with these other products.
You can't over-speak importance of deployment, configuration and infrastructure footprint because what happens is that people get excited when they see the output of various products (such as Dynatrace or CA Wiley). They say, "wow, it's very powerful, we've never had visibility, we're going to implement at all costs." Then they buy the solution and they realize they need 5X the amount of servers, a lot of storage, experts to manage it, etc.
The use case for Splunk AppDynamics is mostly for performance monitoring.
I've been using it since 2019, and Splunk AppDynamics has been a very good tool from the beginning. While I haven't seen many new features, it has improved in various places, particularly in identifying transactions and pinpointing the nodes and other applications it uses, such as Apache Kafka or other third-party applications. It clearly creates a mapping of the transaction. It is also more dependable and reliable. I have also seen a couple of extra features for analyzing the transaction. It goes more in-depth in some areas.
The effectiveness of the auto-discovery and mapping in visualizing my application ecosystem is almost perfect. Although it could be improved further, it is currently in very good shape, allowing performance testers to check exactly what is going on, where the transaction is going, where it's spending time, or failing.
My experience with the application performance monitoring capabilities of Splunk AppDynamics has been very good because it gives me all the data I need and provides a very friendly interface, allowing me to showcase any issues to the customer with ease. The feature to copy a hyperlink to the specific timeframe or transaction I want also makes my job easier by allowing me to pinpoint something to an architect or any participant, who can open it up on their screen and easily understand the issue due to the friendly user interface.
Line-of-code-level troubleshooting feature is very helpful. I have used it a couple of times, and it allowed us to diagnose which part of the code seemed to have the issue, although it did make mistakes and didn't pinpoint the errors exactly in some cases. Overall, it's a very nice feature.
Splunk AppDynamics' digital experience monitoring affects my ability to optimize user experience in a very good way because the results I get often need to be transferred to other stakeholders of the project. The friendly and good user interface allows me to show them what I mean by the results and my analysis.
Splunk AppDynamics’ infrastructure monitoring is very good at correlating infrastructure and application performance.
The best feature of about Splunk AppDynamics is its interface, which allows me to see the full transaction, exactly what is happening, from where it starts to where the call is going, all the services involved in a call, and exactly the time it took from each node to each node along with the network delays. It pretty much provides everything a performance tester would need to do profiling of their results.
Splunk AppDynamics has enormous capabilities that allow me to see the memory and CPU usage, along with the garbage collections. In the case of performance issues, it allows me to dig through the transactions and find out what exactly the issue was to alert the architects and developers to address that issue. I am very happy with Splunk AppDynamics.
I don't really use AI-powered anomaly detection and root cause analysis for diagnosing performance issues because it makes many mistakes in my case, due to the nature of my work. I prefer to do it manually and be aware of what is going on, rather than relying on that.
If it could have a sub-tool for monitoring Apache Kafka lag, it would save me even more time. There are ways to do it now, but a direct way would be faster and better.
It would be much better if there were a way to search for specific transactions, similar to how Splunk allows, which aids in filtering transactions that show a huge increase in time.
I have been using Splunk AppDynamics since 2019.
In the early years, we had a couple of issues. It is more stable now. I don't see any of those issues anymore. There are no downtimes. I would rate the stability of Splunk AppDynamics as a nine out of ten.
I would rate the scalability of Splunk AppDynamics as a nine out of ten. A few features could be added to reach a perfect score of ten.
Our environment includes multiple locations and multiple departments. In my company, there are many users working with Splunk AppDynamics.
I haven't worked with them directly. I remember the developers contacted them once, and they received answers within one or two days. I would rate their technical support as good.
Positive
I have experience with other solutions, but I see Splunk AppDynamics as a top-tier option, with the rest I've worked with falling far below it.
Splunk AppDynamics stands out in the freedom it provides you to visualize everything. You can pretty much monitor anything that comes to your mind. It doesn't specify a way or how to do it. That's very important for me because it makes my job easier. I can configure it or work in thousands of ways. Along with Splunk, you can even see the logs in-depth. You can see exactly what happened at which transaction and where. Other tools don't provide this much depth or this much freedom to do things you want.
Developers did the deployment, not me. As far as I remember, it was done in less than two days.
The company I work for now has an enterprise solution.
It does require maintenance, but it's not my job. That's other department's responsibility.
We have seen a return on investment from Splunk AppDynamics. To understand the magnitude of it, without it five people would be needed to do the analysis that Splunk AppDynamics enables me to do. Splunk AppDynamics has definitely saved me many hours per week, approximately 50% of the time.
I would recommend Splunk AppDynamics to other users because it has helped me in many ways. It is a very stable and solid tool. It never has false results. I have seen other tools producing wrong results. That's not the case with Splunk AppDynamics. It either works and provides solid results, or it doesn't work and requires maintenance, which is a very important distinction. It has a very nice graphical user interface. It allows someone to interpret things easily. It provides freedom to the user to use it as they want. These are the reasons I would recommend it.
I would rate Splunk AppDynamics a ten out of ten.
