External reviews are not included in the AWS star rating for the product.
The root cause analysis they have is exceptional. It is a satisfying product, especially the smart agent collectors, which help us significantly.
The real user monitoring and digital experience monitoring effectively track actual user experience with the applications, including page loading, interaction time for both desktop and mobile applications.
AppDynamics' AI-powered anomaly detection and root cause analysis in diagnosing performance issues is good. It doesn't have many false positives.
They have one aspect that needs improvement. They should combine the cloud and EPM on-premises together and provide a unified single pane of glass for all their modules because they currently have different modules for infrastructure monitoring. My expectation is to unify the management console into one single pane of glass console to manage everything and have all visibility from one place.
We have completed three years with Splunk AppDynamics.
It is good.
The scalability is fine. Many people are using it. We are a system integration company selling this to clients. Our clients are medium to large-sized businesses, typically ranging from 800 to 8,000 users.
I would rate them an eight out of ten.
It's a bit complex; it's not exactly easy. It's moderate in difficulty. You need some experience to implement it.
It is a good solution. It has strong capabilities. You cannot compare Splunk AppDynamics with others. If you want quality, you need to pay, so the cost is justified.
I would recommend it for financial institutions and banks, as well as any companies that rely heavily on online applications, like e-commerce service providers.
I would rate Splunk AppDynamics an eight out of ten.
Our main use cases for Splunk AppDynamics involve monitoring our web stores.
Splunk AppDynamics has helped improve my organization's business resilience.
The features of Splunk AppDynamics that I prefer most are the monitoring aspect, making sure we can drill down and find problems. Splunk AppDynamics features benefit our organization by being effective; we use it consistently, and it is definitely utilized.
My impressions of Splunk AppDynamics' ability to predict, identify, and solve problems in real-time are that we've been using synthetic monitoring, and that's been really helpful, allowing us to see issues before customers experience them.
AppDynamics helped improve our organization's business resilience.
Splunk AppDynamics can be improved. I install it frequently and sometimes when they fix something, they break something else, so better QA is needed to ensure the quality of their fixes. There aren't any additional features that should be included in the next release because everything they're discussing at the conference is what we want to make the software better, so I appreciate that aspect of what they're doing.
I have been using Splunk AppDynamics for two years.
I assess the stability and reliability of Splunk AppDynamics as generally reliable, and we don't have issues accessing it, being SaaS.
I assess how Splunk AppDynamics scales with the growing needs of my organization as good, since we are growing and adding more servers. I have not expanded usage currently because we're in a freeze, and we don't try to update anything. Before the freeze, I did expand usage. The expansion process was pretty smooth.
I would evaluate customer service and technical support with Splunk AppDynamics as generally good since they usually respond to us within 24 hours.
The initial deployment wasn't so good. Smart agents didn't work. Trying to upgrade didn't work. On Linux, there are a lot of locking issues. You gotta make sure that libraries aren't getting updated. So there's always some type of conflict. When we do get to work, it works great, however, you have to go through all these steps before you can make it work properly. We spend hours, days trying to figure out what's wrong with it. Then, we contact support and go back and forth.
I have not seen ROI with Splunk AppDynamics from my level.
My experience with pricing, setup costs, and licensing for Splunk AppDynamics is that it's extremely expensive, and we completed a three-year deal for Splunk and for AppDynamics, which costs millions of dollars.
My impression of Splunk AppDynamics' AI-powered anomaly detection and root cause analysis in diagnosing performance issues is that we don't have the latest versions to get all that functionality, however, we're working on it, and we have an issue with smart agents.
I assess Splunk AppDynamics' infrastructure monitoring as doing the job in correlating infrastructure and application performance, and it has been around for a long time.
My advice to other organizations considering Splunk AppDynamics is that they demonstrate how everything's interconnected immediately, but there's substantial customization required around your own business, and out of the box, you need to configure it to make it work better for you. We spent significant money on professional services to help us accomplish that.
On a scale of one to ten, I would rate Splunk AppDynamics overall a nine.
I get information related to application transactions on a day-to-day basis and manage their capacity augmentation according to transaction details. We collect errors and exceptions from end-user applications, and we share the details with the application development team that works on the application errors and exceptions to resolve and create enhanced performance with the help of Splunk AppDynamics. We have been working with Splunk AppDynamics for the last six years.
The main feature for Splunk AppDynamics is the application drill-down, and the application users utilize it with the help of the next blank panel on their application. An application developer, with the help of Splunk AppDynamics, collects data to get the correct information related to their application code and how the application code performs under low load and high load. Once they get the correct information through Splunk AppDynamics, they will enhance their code to perform better under high load.
It is a very user-friendly tool, and I have used multiple tools related to APM technology, not only Splunk AppDynamics. We have multiple tools, but end users prefer to use Splunk AppDynamics because their portal navigation is very simple and clear.
Application owners build down their application performance through Splunk AppDynamics. Based on the information related to daily, weekly, and monthly metrics, the application development team receives related information for their application performance, and they try to resolve application errors and exceptions, which is achieved via Splunk AppDynamics to enhance their performance.
There is a policy related to dynamic performance to baseline, and end users check their application performance according to their baseline, gathering information about their performance. Based on that information, they take corrective measures related to their applications and resolve issues and errors.
Dynatrace has multiple functions compared to Splunk AppDynamics, so Splunk AppDynamics should add those functions, which are not available as of now. Dynatrace has a universal agent that collects all information related to their CI, and if one CI has multiple languages, then there is no need to instrument multiple agents.
However, Splunk AppDynamics requires multiple agents; if I have one server with multiple applications in different languages, then I need to instrument different agents for each application.
Splunk AppDynamics should work with Dynatrace with one single universal agent that works with all application languages, eliminating the need for multiple implementations.
Regarding stability, it is a very nice and good tool. There are no issues or bugs with the 20.4 version; it is very stable with no functionality or operational issues. I would give it ten out of ten.
The support team for Splunk AppDynamics is very helpful, and they help us resolve any issues raised by our team relating to operations, application instrumentation, or any other issues. I would give them a nine out of ten.
The new version is very straightforward. I would give it a ten out of nine, and there are no issues related to deployment; it is very easy and straightforward to deploy.
There are multiple benefits related to the APM market, but we experience benefits related to application performance only. According to errors, exceptions, and code-level details related to their application performance on a daily basis, the application development team tries to help with Splunk AppDynamics to reduce errors and exceptions, which helps the end users get application availability and feel more confident.
I rate Splunk AppDynamics 10 out of 10.
Our use case is in the lower environment. We are not using it in the production environment. We are part of the performance testing team, so we monitor the users on this server through performance testing, and during that time, we use all the agents, install them on the server, and monitor any bottlenecks. We use Splunk AppDynamics for deep dive analysis and provide inputs to the team. That is our use case.
We are using it only for the on-premises environment, but we are exploring options for Azure-hosted applications and AWS-hosted applications.
Splunk AppDynamics helps us in identifying bottlenecks and providing fine-tuning recommendations. We have many sites. We do deployments and analyze products. Before, as a performance testing team, we were not in a position to tell the team where the issue was happening, only able to provide numbers. With Splunk AppDynamics, we can pinpoint exactly where we need to concentrate and provide recommendations for fine-tuning. Without it, it was a nightmare. We wouldn't have been able to provide this information.
The metrics browser is very useful, and the deep dive feature is very useful for us.
Product-wise, everything is good, but the main concern is the extensions and their documentation, particularly for the installation of Azure app services. It is lacking some documentation, which is why we are always with the AppDynamics team for support to get the details.
Additionally, whenever they upgrade or add new features, we do not get notifications, which makes it very hard for us to find out new information. If they could fix this, it would be helpful, and our satisfaction score would increase.
We have been using Splunk AppDynamics for almost three years.
We are using the cloud version only and not an on-premises installation. I am not sure what to expect on the scalability front, but it is useful for us. We have tried it with a maximum of 500 concurrent users, and it provided all the required information.
Initially, we had some hiccups getting technical support. After some time, we got a contact, an account manager, to work directly with for technical support. He immediately finds a resource and assigns it to us.
We haven't done that exercise. We are working on a mix of applications, such as SaaS, AWS-hosted, Azure, and on-premises applications. It's very hard to find ROI because we are currently focused only on the on-premises applications. In a year, we work on about 20 projects, but we get only two or three projects using Splunk AppDynamics. For the others, because they are vendor-hosted, we don't utilize it. We are still trying it, and maybe once we develop that capability, we'll start finding ROI. Currently, we are not performing any exercise on calculating ROI.
We find its pricing reasonable and competitive. After it was acquired by Cisco, we found it acceptable.
I would rate Splunk AppDynamics an eight out of ten.
Normally, we require end-user monitoring for our digital banking services. Since we operate in the financial sector, we need monitoring for our mobile apps and web browsers, particularly for our online banking systems. This is our main use case.
The feature that I appreciate in AppDynamics Browser Real-User Monitoring is the intuitive and user-friendly dynamic mapping it creates for workflows. The application flow presents a streamlined interface, making it easy to navigate across different interfaces and troubleshoot applications. This interface is particularly valuable for identifying and resolving application issues effectively.
One aspect that requires improvement is the agent. Without an agent, gathering sufficient information on applications is challenging. Additionally, the agent sometimes creates performance issues in production environments. If AppDynamics could develop a means to monitor without an agent, it could significantly improve application performance and reduce potential problems. Moving to an agentless solution, like what some competitors are doing, would be beneficial.
We have been providing the solutions using AppDynamics Browser Real-User Monitoring for three years.
The solution is stable overall. I can rate it nine out of ten. Occasionally, the agents stop working, which disrupts monitoring, but such instances are rare.
AppDynamics Browser Real-User Monitoring is scalable. However, I did not find any Docker solution available with it, and a separate instance has to be installed.
Overall, scalability is fine, and I rate it eight out of ten.
The customer service and support are helpful and responsive. I can rate their support nine out of ten.
Normally, two to three engineers are involved in the installation process from our side.
AppDynamics Browser Real-User Monitoring uses a token-based pricing model, which is complex and can be confusing for customers. Previously, there were different pricing models for web browsers and mobile apps, but now they have unified it. Customers have to pay a premium price, however, they receive considerable value from the product.
We are aware of competitors in the market like Dynatrace and Riverbed. We do not work with them.
Overall, there is room for improvement in AppDynamics Browser Real-User Monitoring, so I rate it eight out of ten.
The complex token-based pricing model can confuse customers when calculating costs.
We worked on the kernel, and being able to monitor our application is important. We have utilized some predictive analysis, and that seems to be the biggest advantage.
The real-time feature provides me with insights into what's happening. It also tells me if there are opportunities.
I still need to thoroughly assess the stability.
I am not very impressed with support. The service could be better.
We previously used Elasticsearch. We switched to AppDynamics for its capabilities. In terms of application monitoring, the differences were evident. The shift occurred starting December, over the last six months, and has shown improvements.
We consulted the company for the setup.
The mean time to respond when there are no issues is crucial. It is about finding the right balance. If running transactions, you should be able to respond promptly, which translates into a figure.
End-user licenses are crucial. We have users who require consistent monitoring, and they engage with it daily. This involves desktop usage and professional management.
I'd rate the solution eight out of ten.
Our primary use case involves performance monitoring of applications. We use it when an application is deployed, and we need to monitor it from a performance testing standpoint and engineering standpoint.
The solution helps us with performance testing by enabling us to monitor applications. It is particularly useful in identifying and resolving bottlenecks quickly.
The drill-down feature that allows tracing the transaction down to the method level and identifying the specific method causing the problem is very useful. This feature enables faster resolution of issues. Additionally, the tool has good alerting capabilities and stability.
Improvements can be made in the area of AI integration. Dynatrace has its own AI-enabled agent, but AppDynamics does not seem to have a similar feature. This is an area that needs focus.
We have used the solution for about two years.
The stability of the solution is good, and no major glitches were observed.
The solution is easy to scale with no major limitations in terms of scalability. It has enough alerting capabilities to trigger alerts when it finds an issue.
There is good support available when needed.
The process of procurement was slightly tough, but we were not directly involved in the installation or initial setup.
Using AppDynamics provides a potential cost-avoidance benefit. It saves time in analyzing and fixing production issues, though it is not straightforward to quantify the direct savings.
Focusing on the integration of AI capabilities should be a priority for AppDynamics to improve its offering. Additionally, there should be an easier procurement process. I'd rate the solution eight out of ten.
I'm familiar with agent-based database monitoring. It easily integrates and monitors various databases like Oracle, SQL Server, MySQL, and PostgreSQL, with minimal configuration. There are also some advanced, AI-infused use cases.
It's better to enable additional metrics and custom metrics if needed, depending on the specific application.
It's made a difference. The correlation between database and application performance allows us to proactively identify issues that could impact the user experience. This helps the application team improve the user experience and reduce the impact of any problems. The proactive monitoring from AppDynamics definitely helps.
ASM deployment feature is the most useful for me. As soon as you enable the prerequisites, you can deploy the tools. That's one of the major use cases.
The downside is that it's a little costly. And if you get stuck with a problem related to deployment, it can take some time to get it resolved. You need domain expertise support to troubleshoot issues. It's not easy to get things done if you run into trouble.
My experience has been good. Both are premium support users; so it's for a separate, additional price to the licensing. Since they're [Dyntrace and AppDynamics] part of the core monitoring ecosystem, especially with the premier experience.
There are different levels of supports. So, starting from your standard support to your 24/7 support, then you have your engineering support. In both cases, you have to go through an assessment before implementation in terms of what kind of application it is.
We used Dynatrace, which comes with full-stack observability. Full-stack observability has evolved to the point where, competitively, you can ask how AppDynamics and Dynatrace compare. Dynatrace takes a slight lead here. It can do dynamic baselining and anomaly detection.
It gives a little more transactional insights and is more comprehensive. There's a slight difference, but not a major impact, in terms of database monitoring on both tools. They are both competitive products. One way they try to compete is in terms of APIs, but the only difference I see is that AppDynamics has a slight advantage in one area. We don't have multiple agents, we go with the concept of one agent. Second, Dynatrace leads in observability, integrating with other on-premises and cloud systems.
They are both competitive enough in the same pricing range. They are not so different, they are both in the same range. If you go and negotiate, they are the same.
The deployment itself doesn't take much time. Once you install the agent and enable the prerequisites, you'll be able to start monitoring.
The deployment is a matter of days. If the prerequisites are in place, it's just a matter of days. But the only thing is, in most scenarios, the domain administration team might not be aware of what exactly they want to monitor.
In that case, we have to do a detailed discovery to understand the database, the type of application it serves, and the issues they want to prioritize. Based on that, we determine the metrics to monitor from both the AppDynamics side and the database application side.
ROI depends on the criticality of the application. If your application is super critical and impacts the end-user experience, then investing in this tool will make a real impact, and you'll get good data management too.
It is expensive. If you opted for the MSP model, you will get premium support because you're already a premium customer to them. If you're not opted for the MSP model and are on a standard model, then it is a little costly. It depends upon the number of licenses you're procuring. Based on that, you might get a discount.
Overall, I would rate it an eight out of ten.
The solution effectively detects anomalies in the system.
The solution's most valuable features are its end-user monitoring and AI functionalities.
The solution's pricing could be improved and made more competitive.
I have been using AppDynamics Server Monitoring for four years.
I rate the solution’s stability an eight out of ten.
The solution is more suitable for enterprise businesses. Around 2,000 users use the solution in our organization.
I rate the solution’s scalability an eight out of ten.
The solution provides good and helpful technical support.
The solution's initial setup depends on the environment. Our deployment was challenging and took a while because our environment is a bit complex.
AppDynamics Server Monitoring is an expensive solution. The solution costs 5,000 per user.
Dynatrace is the solution's main competitor. We chose AppDynamics Server Monitoring because of its flexibility and ease of deployment.
The solution was deployed on the cloud for our organization. We use the solution's alerting system for server management, and it works fine. I would recommend the solution to other users.
Overall, I rate the solution an eight out of ten.
The performance and DevOps teams use the solution to drill down and find out the root cause if we are getting any high response time. In that condition, we have drilled down and checked out the calls and methods, which are taking too long.
The solution's most valuable feature is the response time from the end-to-end server. The solution is user-friendly and easy to use for everyone.
The solution’s pricing is high and could be reduced. The solution’s setup is a bit complex.
I have been using AppDynamics Server Monitoring for five years.
The solution provides good stability.
I rate the solution’s stability a nine out of ten.
The solution's scalability depends on how many user licenses you are taking. The solution is charged per user, team, or domain.
We have to pay a yearly licensing fee for the solution. We can raise concerns or send mail regarding issues or difficulties we face, and the support team will contact us. They provide support to configure things or to learn more about their product.
The solution’s initial setup is a bit complex. It took around seven to eight days to set up everything, including the agent and server name.
AppDynamics Server Monitoring is an expensive solution.
We are not using the alerts as we have different mechanisms called resilience testing or kiosk testing. The DevOps team uses the alerts. During production, they will get alerts when they see the CPU utilization going beyond the 60% or 70% benchmark they have set.
AppDynamics and Dynatrace are the only two tools that provide accurate or stable end-to-end response time. These two tools can show you everything that's going on from the back end. If we are doing performance testing or any testing, these two tools can provide us with every detail about what's happening in the back end from the server side that we can't see.
Overall, I rate the solution a nine out of ten.